# coding: utf-8
# Copyright 2018 IBM All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""
The IBM® Text to Speech service provides APIs that use IBM's speech-synthesis
capabilities to synthesize text into natural-sounding speech in a variety of languages,
dialects, and voices. The service supports at least one male or female voice, sometimes
both, for each language. The audio is streamed back to the client with minimal delay.
For speech synthesis, the service supports a synchronous HTTP Representational State
Transfer (REST) interface. It also supports a WebSocket interface that provides both plain
text and SSML input, including the SSML <mark> element and word timings. SSML is an
XML-based markup language that provides text annotation for speech-synthesis applications.
The service also offers a customization interface. You can use the interface to define
sounds-like or phonetic translations for words. A sounds-like translation consists of one
or more words that, when combined, sound like the word. A phonetic translation is based on
the SSML phoneme format for representing a word. You can specify a phonetic translation in
standard International Phonetic Alphabet (IPA) representation or in the proprietary IBM
Symbolic Phonetic Representation (SPR).
"""
from __future__ import absolute_import
import json
from .common import get_sdk_headers
from ibm_cloud_sdk_core import BaseService
from os.path import basename
##############################################################################
# Service
##############################################################################
[docs]class TextToSpeechV1(BaseService):
"""The Text to Speech V1 service."""
default_url = 'https://stream.watsonplatform.net/text-to-speech/api'
def __init__(
self,
url=default_url,
username=None,
password=None,
iam_apikey=None,
iam_access_token=None,
iam_url=None,
iam_client_id=None,
iam_client_secret=None,
icp4d_access_token=None,
icp4d_url=None,
authentication_type=None,
):
"""
Construct a new client for the Text to Speech service.
:param str url: The base url to use when contacting the service (e.g.
"https://stream.watsonplatform.net/text-to-speech/api/text-to-speech/api").
The base url may differ between IBM Cloud regions.
:param str username: The username used to authenticate with the service.
Username and password credentials are only required to run your
application locally or outside of IBM Cloud. When running on
IBM Cloud, the credentials will be automatically loaded from the
`VCAP_SERVICES` environment variable.
:param str password: The password used to authenticate with the service.
Username and password credentials are only required to run your
application locally or outside of IBM Cloud. When running on
IBM Cloud, the credentials will be automatically loaded from the
`VCAP_SERVICES` environment variable.
:param str iam_apikey: An API key that can be used to request IAM tokens. If
this API key is provided, the SDK will manage the token and handle the
refreshing.
:param str iam_access_token: An IAM access token is fully managed by the application.
Responsibility falls on the application to refresh the token, either before
it expires or reactively upon receiving a 401 from the service as any requests
made with an expired token will fail.
:param str iam_url: An optional URL for the IAM service API. Defaults to
'https://iam.cloud.ibm.com/identity/token'.
:param str iam_client_id: An optional client_id value to use when interacting with the IAM service.
:param str iam_client_secret: An optional client_secret value to use when interacting with the IAM service.
:param str icp4d_access_token: A ICP4D(IBM Cloud Pak for Data) access token is
fully managed by the application. Responsibility falls on the application to
refresh the token, either before it expires or reactively upon receiving a 401
from the service as any requests made with an expired token will fail.
:param str icp4d_url: In order to use an SDK-managed token with ICP4D authentication, this
URL must be passed in.
:param str authentication_type: Specifies the authentication pattern to use. Values that it
takes are basic, iam or icp4d.
"""
BaseService.__init__(
self,
vcap_services_name='text_to_speech',
url=url,
username=username,
password=password,
iam_apikey=iam_apikey,
iam_access_token=iam_access_token,
iam_url=iam_url,
iam_client_id=iam_client_id,
iam_client_secret=iam_client_secret,
use_vcap_services=True,
display_name='Text to Speech',
icp4d_access_token=icp4d_access_token,
icp4d_url=icp4d_url,
authentication_type=authentication_type)
#########################
# Voices
#########################
[docs] def list_voices(self, **kwargs):
"""
List voices.
Lists all voices available for use with the service. The information includes the
name, language, gender, and other details about the voice. To see information
about a specific voice, use the **Get a voice** method.
**See also:** [Listing all available
voices](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-voices#listVoices).
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'list_voices')
headers.update(sdk_headers)
url = '/v1/voices'
response = self.request(
method='GET', url=url, headers=headers, accept_json=True)
return response
[docs] def get_voice(self, voice, customization_id=None, **kwargs):
"""
Get a voice.
Gets information about the specified voice. The information includes the name,
language, gender, and other details about the voice. Specify a customization ID to
obtain information for a custom voice model that is defined for the language of
the specified voice. To list information about all available voices, use the
**List voices** method.
**See also:** [Listing a specific
voice](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-voices#listVoice).
:param str voice: The voice for which information is to be returned.
:param str customization_id: The customization ID (GUID) of a custom voice model
for which information is to be returned. You must make the request with
credentials for the instance of the service that owns the custom model. Omit the
parameter to see information about the specified voice with no customization.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if voice is None:
raise ValueError('voice must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'get_voice')
headers.update(sdk_headers)
params = {'customization_id': customization_id}
url = '/v1/voices/{0}'.format(*self._encode_path_vars(voice))
response = self.request(
method='GET',
url=url,
headers=headers,
params=params,
accept_json=True)
return response
#########################
# Synthesis
#########################
[docs] def synthesize(self,
text,
voice=None,
customization_id=None,
accept=None,
**kwargs):
"""
Synthesize audio.
Synthesizes text to audio that is spoken in the specified voice. The service bases
its understanding of the language for the input text on the specified voice. Use a
voice that matches the language of the input text.
The method accepts a maximum of 5 KB of input text in the body of the request, and
8 KB for the URL and headers. The 5 KB limit includes any SSML tags that you
specify. The service returns the synthesized audio stream as an array of bytes.
**See also:** [The HTTP
interface](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-usingHTTP#usingHTTP).
### Audio formats (accept types)
The service can return audio in the following formats (MIME types).
* Where indicated, you can optionally specify the sampling rate (`rate`) of the
audio. You must specify a sampling rate for the `audio/l16` and `audio/mulaw`
formats. A specified sampling rate must lie in the range of 8 kHz to 192 kHz.
* For the `audio/l16` format, you can optionally specify the endianness
(`endianness`) of the audio: `endianness=big-endian` or
`endianness=little-endian`.
Use the `Accept` header or the `accept` parameter to specify the requested format
of the response audio. If you omit an audio format altogether, the service returns
the audio in Ogg format with the Opus codec (`audio/ogg;codecs=opus`). The service
always returns single-channel audio.
* `audio/basic`
The service returns audio with a sampling rate of 8000 Hz.
* `audio/flac`
You can optionally specify the `rate` of the audio. The default sampling rate is
22,050 Hz.
* `audio/l16`
You must specify the `rate` of the audio. You can optionally specify the
`endianness` of the audio. The default endianness is `little-endian`.
* `audio/mp3`
You can optionally specify the `rate` of the audio. The default sampling rate is
22,050 Hz.
* `audio/mpeg`
You can optionally specify the `rate` of the audio. The default sampling rate is
22,050 Hz.
* `audio/mulaw`
You must specify the `rate` of the audio.
* `audio/ogg`
The service returns the audio in the `vorbis` codec. You can optionally specify
the `rate` of the audio. The default sampling rate is 22,050 Hz.
* `audio/ogg;codecs=opus`
You can optionally specify the `rate` of the audio. The default sampling rate is
22,050 Hz.
* `audio/ogg;codecs=vorbis`
You can optionally specify the `rate` of the audio. The default sampling rate is
22,050 Hz.
* `audio/wav`
You can optionally specify the `rate` of the audio. The default sampling rate is
22,050 Hz.
* `audio/webm`
The service returns the audio in the `opus` codec. The service returns audio
with a sampling rate of 48,000 Hz.
* `audio/webm;codecs=opus`
The service returns audio with a sampling rate of 48,000 Hz.
* `audio/webm;codecs=vorbis`
You can optionally specify the `rate` of the audio. The default sampling rate is
22,050 Hz.
For more information about specifying an audio format, including additional
details about some of the formats, see [Audio
formats](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-audioFormats#audioFormats).
### Warning messages
If a request includes invalid query parameters, the service returns a `Warnings`
response header that provides messages about the invalid parameters. The warning
includes a descriptive message and a list of invalid argument strings. For
example, a message such as `\"Unknown arguments:\"` or `\"Unknown url query
arguments:\"` followed by a list of the form `\"{invalid_arg_1},
{invalid_arg_2}.\"` The request succeeds despite the warnings.
:param str text: The text to synthesize.
:param str voice: The voice to use for synthesis.
:param str customization_id: The customization ID (GUID) of a custom voice model
to use for the synthesis. If a custom voice model is specified, it is guaranteed
to work only if it matches the language of the indicated voice. You must make the
request with credentials for the instance of the service that owns the custom
model. Omit the parameter to use the specified voice with no customization.
:param str accept: The requested format (MIME type) of the audio. You can use the
`Accept` header or the `accept` parameter to specify the audio format. For more
information about specifying an audio format, see **Audio formats (accept types)**
in the method description.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if text is None:
raise ValueError('text must be provided')
headers = {'Accept': accept}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'synthesize')
headers.update(sdk_headers)
params = {'voice': voice, 'customization_id': customization_id}
data = {'text': text}
url = '/v1/synthesize'
response = self.request(
method='POST',
url=url,
headers=headers,
params=params,
json=data,
accept_json=False)
return response
#########################
# Pronunciation
#########################
[docs] def get_pronunciation(self,
text,
voice=None,
format=None,
customization_id=None,
**kwargs):
"""
Get pronunciation.
Gets the phonetic pronunciation for the specified word. You can request the
pronunciation for a specific format. You can also request the pronunciation for a
specific voice to see the default translation for the language of that voice or
for a specific custom voice model to see the translation for that voice model.
**Note:** This method is currently a beta release.
**See also:** [Querying a word from a
language](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuWordsQueryLanguage).
:param str text: The word for which the pronunciation is requested.
:param str voice: A voice that specifies the language in which the pronunciation
is to be returned. All voices for the same language (for example, `en-US`) return
the same translation.
:param str format: The phoneme format in which to return the pronunciation. Omit
the parameter to obtain the pronunciation in the default format.
:param str customization_id: The customization ID (GUID) of a custom voice model
for which the pronunciation is to be returned. The language of a specified custom
model must match the language of the specified voice. If the word is not defined
in the specified custom model, the service returns the default translation for the
custom model's language. You must make the request with credentials for the
instance of the service that owns the custom model. Omit the parameter to see the
translation for the specified voice with no customization.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if text is None:
raise ValueError('text must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1',
'get_pronunciation')
headers.update(sdk_headers)
params = {
'text': text,
'voice': voice,
'format': format,
'customization_id': customization_id
}
url = '/v1/pronunciation'
response = self.request(
method='GET',
url=url,
headers=headers,
params=params,
accept_json=True)
return response
#########################
# Custom models
#########################
[docs] def create_voice_model(self,
name,
language=None,
description=None,
**kwargs):
"""
Create a custom model.
Creates a new empty custom voice model. You must specify a name for the new custom
model. You can optionally specify the language and a description for the new
model. The model is owned by the instance of the service whose credentials are
used to create it.
**Note:** This method is currently a beta release.
**See also:** [Creating a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customModels#cuModelsCreate).
:param str name: The name of the new custom voice model.
:param str language: The language of the new custom voice model. Omit the
parameter to use the the default language, `en-US`.
:param str description: A description of the new custom voice model. Specifying a
description is recommended.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if name is None:
raise ValueError('name must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1',
'create_voice_model')
headers.update(sdk_headers)
data = {'name': name, 'language': language, 'description': description}
url = '/v1/customizations'
response = self.request(
method='POST',
url=url,
headers=headers,
json=data,
accept_json=True)
return response
[docs] def list_voice_models(self, language=None, **kwargs):
"""
List custom models.
Lists metadata such as the name and description for all custom voice models that
are owned by an instance of the service. Specify a language to list the voice
models for that language only. To see the words in addition to the metadata for a
specific voice model, use the **List a custom model** method. You must use
credentials for the instance of the service that owns a model to list information
about it.
**Note:** This method is currently a beta release.
**See also:** [Querying all custom
models](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customModels#cuModelsQueryAll).
:param str language: The language for which custom voice models that are owned by
the requesting credentials are to be returned. Omit the parameter to see all
custom voice models that are owned by the requester.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1',
'list_voice_models')
headers.update(sdk_headers)
params = {'language': language}
url = '/v1/customizations'
response = self.request(
method='GET',
url=url,
headers=headers,
params=params,
accept_json=True)
return response
[docs] def update_voice_model(self,
customization_id,
name=None,
description=None,
words=None,
**kwargs):
"""
Update a custom model.
Updates information for the specified custom voice model. You can update metadata
such as the name and description of the voice model. You can also update the words
in the model and their translations. Adding a new translation for a word that
already exists in a custom model overwrites the word's existing translation. A
custom model can contain no more than 20,000 entries. You must use credentials for
the instance of the service that owns a model to update it.
You can define sounds-like or phonetic translations for words. A sounds-like
translation consists of one or more words that, when combined, sound like the
word. Phonetic translations are based on the SSML phoneme format for representing
a word. You can specify them in standard International Phonetic Alphabet (IPA)
representation
<code><phoneme alphabet=\"ipa\"
ph=\"təmˈɑto\"></phoneme></code>
or in the proprietary IBM Symbolic Phonetic Representation (SPR)
<code><phoneme alphabet=\"ibm\"
ph=\"1gAstroEntxrYFXs\"></phoneme></code>
**Note:** This method is currently a beta release.
**See also:**
* [Updating a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customModels#cuModelsUpdate)
* [Adding words to a Japanese custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuJapaneseAdd)
* [Understanding
customization](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customIntro#customIntro).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param str name: A new name for the custom voice model.
:param str description: A new description for the custom voice model.
:param list[Word] words: An array of `Word` objects that provides the words and
their translations that are to be added or updated for the custom voice model.
Pass an empty array to make no additions or updates.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
if words is not None:
words = [self._convert_model(x, Word) for x in words]
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1',
'update_voice_model')
headers.update(sdk_headers)
data = {'name': name, 'description': description, 'words': words}
url = '/v1/customizations/{0}'.format(
*self._encode_path_vars(customization_id))
response = self.request(
method='POST',
url=url,
headers=headers,
json=data,
accept_json=True)
return response
[docs] def get_voice_model(self, customization_id, **kwargs):
"""
Get a custom model.
Gets all information about a specified custom voice model. In addition to metadata
such as the name and description of the voice model, the output includes the words
and their translations as defined in the model. To see just the metadata for a
voice model, use the **List custom models** method.
**Note:** This method is currently a beta release.
**See also:** [Querying a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customModels#cuModelsQuery).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'get_voice_model')
headers.update(sdk_headers)
url = '/v1/customizations/{0}'.format(
*self._encode_path_vars(customization_id))
response = self.request(
method='GET', url=url, headers=headers, accept_json=True)
return response
[docs] def delete_voice_model(self, customization_id, **kwargs):
"""
Delete a custom model.
Deletes the specified custom voice model. You must use credentials for the
instance of the service that owns a model to delete it.
**Note:** This method is currently a beta release.
**See also:** [Deleting a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customModels#cuModelsDelete).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1',
'delete_voice_model')
headers.update(sdk_headers)
url = '/v1/customizations/{0}'.format(
*self._encode_path_vars(customization_id))
response = self.request(
method='DELETE', url=url, headers=headers, accept_json=False)
return response
#########################
# Custom words
#########################
[docs] def add_words(self, customization_id, words, **kwargs):
"""
Add custom words.
Adds one or more words and their translations to the specified custom voice model.
Adding a new translation for a word that already exists in a custom model
overwrites the word's existing translation. A custom model can contain no more
than 20,000 entries. You must use credentials for the instance of the service that
owns a model to add words to it.
You can define sounds-like or phonetic translations for words. A sounds-like
translation consists of one or more words that, when combined, sound like the
word. Phonetic translations are based on the SSML phoneme format for representing
a word. You can specify them in standard International Phonetic Alphabet (IPA)
representation
<code><phoneme alphabet=\"ipa\"
ph=\"təmˈɑto\"></phoneme></code>
or in the proprietary IBM Symbolic Phonetic Representation (SPR)
<code><phoneme alphabet=\"ibm\"
ph=\"1gAstroEntxrYFXs\"></phoneme></code>
**Note:** This method is currently a beta release.
**See also:**
* [Adding multiple words to a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuWordsAdd)
* [Adding words to a Japanese custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuJapaneseAdd)
* [Understanding
customization](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customIntro#customIntro).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param list[Word] words: The **Add custom words** method accepts an array of
`Word` objects. Each object provides a word that is to be added or updated for the
custom voice model and the word's translation.
The **List custom words** method returns an array of `Word` objects. Each object
shows a word and its translation from the custom voice model. The words are listed
in alphabetical order, with uppercase letters listed before lowercase letters. The
array is empty if the custom model contains no words.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
if words is None:
raise ValueError('words must be provided')
words = [self._convert_model(x, Word) for x in words]
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'add_words')
headers.update(sdk_headers)
data = {'words': words}
url = '/v1/customizations/{0}/words'.format(
*self._encode_path_vars(customization_id))
response = self.request(
method='POST',
url=url,
headers=headers,
json=data,
accept_json=True)
return response
[docs] def list_words(self, customization_id, **kwargs):
"""
List custom words.
Lists all of the words and their translations for the specified custom voice
model. The output shows the translations as they are defined in the model. You
must use credentials for the instance of the service that owns a model to list its
words.
**Note:** This method is currently a beta release.
**See also:** [Querying all words from a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuWordsQueryModel).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'list_words')
headers.update(sdk_headers)
url = '/v1/customizations/{0}/words'.format(
*self._encode_path_vars(customization_id))
response = self.request(
method='GET', url=url, headers=headers, accept_json=True)
return response
[docs] def add_word(self,
customization_id,
word,
translation,
part_of_speech=None,
**kwargs):
"""
Add a custom word.
Adds a single word and its translation to the specified custom voice model. Adding
a new translation for a word that already exists in a custom model overwrites the
word's existing translation. A custom model can contain no more than 20,000
entries. You must use credentials for the instance of the service that owns a
model to add a word to it.
You can define sounds-like or phonetic translations for words. A sounds-like
translation consists of one or more words that, when combined, sound like the
word. Phonetic translations are based on the SSML phoneme format for representing
a word. You can specify them in standard International Phonetic Alphabet (IPA)
representation
<code><phoneme alphabet=\"ipa\"
ph=\"təmˈɑto\"></phoneme></code>
or in the proprietary IBM Symbolic Phonetic Representation (SPR)
<code><phoneme alphabet=\"ibm\"
ph=\"1gAstroEntxrYFXs\"></phoneme></code>
**Note:** This method is currently a beta release.
**See also:**
* [Adding a single word to a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuWordAdd)
* [Adding words to a Japanese custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuJapaneseAdd)
* [Understanding
customization](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customIntro#customIntro).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param str word: The word that is to be added or updated for the custom voice
model.
:param str translation: The phonetic or sounds-like translation for the word. A
phonetic translation is based on the SSML format for representing the phonetic
string of a word either as an IPA translation or as an IBM SPR translation. A
sounds-like is one or more words that, when combined, sound like the word.
:param str part_of_speech: **Japanese only.** The part of speech for the word. The
service uses the value to produce the correct intonation for the word. You can
create only a single entry, with or without a single part of speech, for any word;
you cannot create multiple entries with different parts of speech for the same
word. For more information, see [Working with Japanese
entries](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-rules#jaNotes).
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
if word is None:
raise ValueError('word must be provided')
if translation is None:
raise ValueError('translation must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'add_word')
headers.update(sdk_headers)
data = {'translation': translation, 'part_of_speech': part_of_speech}
url = '/v1/customizations/{0}/words/{1}'.format(
*self._encode_path_vars(customization_id, word))
response = self.request(
method='PUT',
url=url,
headers=headers,
json=data,
accept_json=False)
return response
[docs] def get_word(self, customization_id, word, **kwargs):
"""
Get a custom word.
Gets the translation for a single word from the specified custom model. The output
shows the translation as it is defined in the model. You must use credentials for
the instance of the service that owns a model to list its words.
**Note:** This method is currently a beta release.
**See also:** [Querying a single word from a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuWordQueryModel).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param str word: The word that is to be queried from the custom voice model.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
if word is None:
raise ValueError('word must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'get_word')
headers.update(sdk_headers)
url = '/v1/customizations/{0}/words/{1}'.format(
*self._encode_path_vars(customization_id, word))
response = self.request(
method='GET', url=url, headers=headers, accept_json=True)
return response
[docs] def delete_word(self, customization_id, word, **kwargs):
"""
Delete a custom word.
Deletes a single word from the specified custom voice model. You must use
credentials for the instance of the service that owns a model to delete its words.
**Note:** This method is currently a beta release.
**See also:** [Deleting a word from a custom
model](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-customWords#cuWordDelete).
:param str customization_id: The customization ID (GUID) of the custom voice
model. You must make the request with credentials for the instance of the service
that owns the custom model.
:param str word: The word that is to be deleted from the custom voice model.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customization_id is None:
raise ValueError('customization_id must be provided')
if word is None:
raise ValueError('word must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1', 'delete_word')
headers.update(sdk_headers)
url = '/v1/customizations/{0}/words/{1}'.format(
*self._encode_path_vars(customization_id, word))
response = self.request(
method='DELETE', url=url, headers=headers, accept_json=False)
return response
#########################
# User data
#########################
[docs] def delete_user_data(self, customer_id, **kwargs):
"""
Delete labeled data.
Deletes all data that is associated with a specified customer ID. The method
deletes all data for the customer ID, regardless of the method by which the
information was added. The method has no effect if no data is associated with the
customer ID. You must issue the request with credentials for the same instance of
the service that was used to associate the customer ID with the data.
You associate a customer ID with data by passing the `X-Watson-Metadata` header
with a request that passes the data.
**See also:** [Information
security](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-information-security#information-security).
:param str customer_id: The customer ID for which all data is to be deleted.
:param dict headers: A `dict` containing the request headers
:return: A `DetailedResponse` containing the result, headers and HTTP status code.
:rtype: DetailedResponse
"""
if customer_id is None:
raise ValueError('customer_id must be provided')
headers = {}
if 'headers' in kwargs:
headers.update(kwargs.get('headers'))
sdk_headers = get_sdk_headers('text_to_speech', 'V1',
'delete_user_data')
headers.update(sdk_headers)
params = {'customer_id': customer_id}
url = '/v1/user_data'
response = self.request(
method='DELETE',
url=url,
headers=headers,
params=params,
accept_json=False)
return response
##############################################################################
# Models
##############################################################################
[docs]class Pronunciation(object):
"""
The pronunciation of the specified text.
:attr str pronunciation: The pronunciation of the specified text in the requested
voice and format. If a custom voice model is specified, the pronunciation also
reflects that custom voice.
"""
def __init__(self, pronunciation):
"""
Initialize a Pronunciation object.
:param str pronunciation: The pronunciation of the specified text in the requested
voice and format. If a custom voice model is specified, the pronunciation also
reflects that custom voice.
"""
self.pronunciation = pronunciation
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Pronunciation object from a json dictionary."""
args = {}
validKeys = ['pronunciation']
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class Pronunciation: '
+ ', '.join(badKeys))
if 'pronunciation' in _dict:
args['pronunciation'] = _dict.get('pronunciation')
else:
raise ValueError(
'Required property \'pronunciation\' not present in Pronunciation JSON'
)
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'pronunciation') and self.pronunciation is not None:
_dict['pronunciation'] = self.pronunciation
return _dict
def __str__(self):
"""Return a `str` version of this Pronunciation object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class SupportedFeatures(object):
"""
Additional service features that are supported with the voice.
:attr bool custom_pronunciation: If `true`, the voice can be customized; if `false`,
the voice cannot be customized. (Same as `customizable`.).
:attr bool voice_transformation: If `true`, the voice can be transformed by using the
SSML <voice-transformation> element; if `false`, the voice cannot be
transformed.
"""
def __init__(self, custom_pronunciation, voice_transformation):
"""
Initialize a SupportedFeatures object.
:param bool custom_pronunciation: If `true`, the voice can be customized; if
`false`, the voice cannot be customized. (Same as `customizable`.).
:param bool voice_transformation: If `true`, the voice can be transformed by using
the SSML <voice-transformation> element; if `false`, the voice cannot be
transformed.
"""
self.custom_pronunciation = custom_pronunciation
self.voice_transformation = voice_transformation
@classmethod
def _from_dict(cls, _dict):
"""Initialize a SupportedFeatures object from a json dictionary."""
args = {}
validKeys = ['custom_pronunciation', 'voice_transformation']
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class SupportedFeatures: '
+ ', '.join(badKeys))
if 'custom_pronunciation' in _dict:
args['custom_pronunciation'] = _dict.get('custom_pronunciation')
else:
raise ValueError(
'Required property \'custom_pronunciation\' not present in SupportedFeatures JSON'
)
if 'voice_transformation' in _dict:
args['voice_transformation'] = _dict.get('voice_transformation')
else:
raise ValueError(
'Required property \'voice_transformation\' not present in SupportedFeatures JSON'
)
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'custom_pronunciation'
) and self.custom_pronunciation is not None:
_dict['custom_pronunciation'] = self.custom_pronunciation
if hasattr(self, 'voice_transformation'
) and self.voice_transformation is not None:
_dict['voice_transformation'] = self.voice_transformation
return _dict
def __str__(self):
"""Return a `str` version of this SupportedFeatures object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class Translation(object):
"""
Information about the translation for the specified text.
:attr str translation: The phonetic or sounds-like translation for the word. A
phonetic translation is based on the SSML format for representing the phonetic string
of a word either as an IPA translation or as an IBM SPR translation. A sounds-like is
one or more words that, when combined, sound like the word.
:attr str part_of_speech: (optional) **Japanese only.** The part of speech for the
word. The service uses the value to produce the correct intonation for the word. You
can create only a single entry, with or without a single part of speech, for any word;
you cannot create multiple entries with different parts of speech for the same word.
For more information, see [Working with Japanese
entries](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-rules#jaNotes).
"""
def __init__(self, translation, part_of_speech=None):
"""
Initialize a Translation object.
:param str translation: The phonetic or sounds-like translation for the word. A
phonetic translation is based on the SSML format for representing the phonetic
string of a word either as an IPA translation or as an IBM SPR translation. A
sounds-like is one or more words that, when combined, sound like the word.
:param str part_of_speech: (optional) **Japanese only.** The part of speech for
the word. The service uses the value to produce the correct intonation for the
word. You can create only a single entry, with or without a single part of speech,
for any word; you cannot create multiple entries with different parts of speech
for the same word. For more information, see [Working with Japanese
entries](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-rules#jaNotes).
"""
self.translation = translation
self.part_of_speech = part_of_speech
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Translation object from a json dictionary."""
args = {}
validKeys = ['translation', 'part_of_speech']
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class Translation: '
+ ', '.join(badKeys))
if 'translation' in _dict:
args['translation'] = _dict.get('translation')
else:
raise ValueError(
'Required property \'translation\' not present in Translation JSON'
)
if 'part_of_speech' in _dict:
args['part_of_speech'] = _dict.get('part_of_speech')
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'translation') and self.translation is not None:
_dict['translation'] = self.translation
if hasattr(self, 'part_of_speech') and self.part_of_speech is not None:
_dict['part_of_speech'] = self.part_of_speech
return _dict
def __str__(self):
"""Return a `str` version of this Translation object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class Voice(object):
"""
Information about an available voice model.
:attr str url: The URI of the voice.
:attr str gender: The gender of the voice: `male` or `female`.
:attr str name: The name of the voice. Use this as the voice identifier in all
requests.
:attr str language: The language and region of the voice (for example, `en-US`).
:attr str description: A textual description of the voice.
:attr bool customizable: If `true`, the voice can be customized; if `false`, the voice
cannot be customized. (Same as `custom_pronunciation`; maintained for backward
compatibility.).
:attr SupportedFeatures supported_features: Additional service features that are
supported with the voice.
:attr VoiceModel customization: (optional) Returns information about a specified
custom voice model. This field is returned only by the **Get a voice** method and only
when you specify the customization ID of a custom voice model.
"""
def __init__(self,
url,
gender,
name,
language,
description,
customizable,
supported_features,
customization=None):
"""
Initialize a Voice object.
:param str url: The URI of the voice.
:param str gender: The gender of the voice: `male` or `female`.
:param str name: The name of the voice. Use this as the voice identifier in all
requests.
:param str language: The language and region of the voice (for example, `en-US`).
:param str description: A textual description of the voice.
:param bool customizable: If `true`, the voice can be customized; if `false`, the
voice cannot be customized. (Same as `custom_pronunciation`; maintained for
backward compatibility.).
:param SupportedFeatures supported_features: Additional service features that are
supported with the voice.
:param VoiceModel customization: (optional) Returns information about a specified
custom voice model. This field is returned only by the **Get a voice** method and
only when you specify the customization ID of a custom voice model.
"""
self.url = url
self.gender = gender
self.name = name
self.language = language
self.description = description
self.customizable = customizable
self.supported_features = supported_features
self.customization = customization
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Voice object from a json dictionary."""
args = {}
validKeys = [
'url', 'gender', 'name', 'language', 'description', 'customizable',
'supported_features', 'customization'
]
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class Voice: ' +
', '.join(badKeys))
if 'url' in _dict:
args['url'] = _dict.get('url')
else:
raise ValueError(
'Required property \'url\' not present in Voice JSON')
if 'gender' in _dict:
args['gender'] = _dict.get('gender')
else:
raise ValueError(
'Required property \'gender\' not present in Voice JSON')
if 'name' in _dict:
args['name'] = _dict.get('name')
else:
raise ValueError(
'Required property \'name\' not present in Voice JSON')
if 'language' in _dict:
args['language'] = _dict.get('language')
else:
raise ValueError(
'Required property \'language\' not present in Voice JSON')
if 'description' in _dict:
args['description'] = _dict.get('description')
else:
raise ValueError(
'Required property \'description\' not present in Voice JSON')
if 'customizable' in _dict:
args['customizable'] = _dict.get('customizable')
else:
raise ValueError(
'Required property \'customizable\' not present in Voice JSON')
if 'supported_features' in _dict:
args['supported_features'] = SupportedFeatures._from_dict(
_dict.get('supported_features'))
else:
raise ValueError(
'Required property \'supported_features\' not present in Voice JSON'
)
if 'customization' in _dict:
args['customization'] = VoiceModel._from_dict(
_dict.get('customization'))
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'url') and self.url is not None:
_dict['url'] = self.url
if hasattr(self, 'gender') and self.gender is not None:
_dict['gender'] = self.gender
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'language') and self.language is not None:
_dict['language'] = self.language
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'customizable') and self.customizable is not None:
_dict['customizable'] = self.customizable
if hasattr(
self,
'supported_features') and self.supported_features is not None:
_dict['supported_features'] = self.supported_features._to_dict()
if hasattr(self, 'customization') and self.customization is not None:
_dict['customization'] = self.customization._to_dict()
return _dict
def __str__(self):
"""Return a `str` version of this Voice object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class VoiceModel(object):
"""
Information about an existing custom voice model.
:attr str customization_id: The customization ID (GUID) of the custom voice model. The
**Create a custom model** method returns only this field. It does not not return the
other fields of this object.
:attr str name: (optional) The name of the custom voice model.
:attr str language: (optional) The language identifier of the custom voice model (for
example, `en-US`).
:attr str owner: (optional) The GUID of the credentials for the instance of the
service that owns the custom voice model.
:attr str created: (optional) The date and time in Coordinated Universal Time (UTC) at
which the custom voice model was created. The value is provided in full ISO 8601
format (`YYYY-MM-DDThh:mm:ss.sTZD`).
:attr str last_modified: (optional) The date and time in Coordinated Universal Time
(UTC) at which the custom voice model was last modified. The `created` and `updated`
fields are equal when a voice model is first added but has yet to be updated. The
value is provided in full ISO 8601 format (`YYYY-MM-DDThh:mm:ss.sTZD`).
:attr str description: (optional) The description of the custom voice model.
:attr list[Word] words: (optional) An array of `Word` objects that lists the words and
their translations from the custom voice model. The words are listed in alphabetical
order, with uppercase letters listed before lowercase letters. The array is empty if
the custom model contains no words. This field is returned only by the **Get a voice**
method and only when you specify the customization ID of a custom voice model.
"""
def __init__(self,
customization_id,
name=None,
language=None,
owner=None,
created=None,
last_modified=None,
description=None,
words=None):
"""
Initialize a VoiceModel object.
:param str customization_id: The customization ID (GUID) of the custom voice
model. The **Create a custom model** method returns only this field. It does not
not return the other fields of this object.
:param str name: (optional) The name of the custom voice model.
:param str language: (optional) The language identifier of the custom voice model
(for example, `en-US`).
:param str owner: (optional) The GUID of the credentials for the instance of the
service that owns the custom voice model.
:param str created: (optional) The date and time in Coordinated Universal Time
(UTC) at which the custom voice model was created. The value is provided in full
ISO 8601 format (`YYYY-MM-DDThh:mm:ss.sTZD`).
:param str last_modified: (optional) The date and time in Coordinated Universal
Time (UTC) at which the custom voice model was last modified. The `created` and
`updated` fields are equal when a voice model is first added but has yet to be
updated. The value is provided in full ISO 8601 format
(`YYYY-MM-DDThh:mm:ss.sTZD`).
:param str description: (optional) The description of the custom voice model.
:param list[Word] words: (optional) An array of `Word` objects that lists the
words and their translations from the custom voice model. The words are listed in
alphabetical order, with uppercase letters listed before lowercase letters. The
array is empty if the custom model contains no words. This field is returned only
by the **Get a voice** method and only when you specify the customization ID of a
custom voice model.
"""
self.customization_id = customization_id
self.name = name
self.language = language
self.owner = owner
self.created = created
self.last_modified = last_modified
self.description = description
self.words = words
@classmethod
def _from_dict(cls, _dict):
"""Initialize a VoiceModel object from a json dictionary."""
args = {}
validKeys = [
'customization_id', 'name', 'language', 'owner', 'created',
'last_modified', 'description', 'words'
]
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class VoiceModel: '
+ ', '.join(badKeys))
if 'customization_id' in _dict:
args['customization_id'] = _dict.get('customization_id')
else:
raise ValueError(
'Required property \'customization_id\' not present in VoiceModel JSON'
)
if 'name' in _dict:
args['name'] = _dict.get('name')
if 'language' in _dict:
args['language'] = _dict.get('language')
if 'owner' in _dict:
args['owner'] = _dict.get('owner')
if 'created' in _dict:
args['created'] = _dict.get('created')
if 'last_modified' in _dict:
args['last_modified'] = _dict.get('last_modified')
if 'description' in _dict:
args['description'] = _dict.get('description')
if 'words' in _dict:
args['words'] = [Word._from_dict(x) for x in (_dict.get('words'))]
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self,
'customization_id') and self.customization_id is not None:
_dict['customization_id'] = self.customization_id
if hasattr(self, 'name') and self.name is not None:
_dict['name'] = self.name
if hasattr(self, 'language') and self.language is not None:
_dict['language'] = self.language
if hasattr(self, 'owner') and self.owner is not None:
_dict['owner'] = self.owner
if hasattr(self, 'created') and self.created is not None:
_dict['created'] = self.created
if hasattr(self, 'last_modified') and self.last_modified is not None:
_dict['last_modified'] = self.last_modified
if hasattr(self, 'description') and self.description is not None:
_dict['description'] = self.description
if hasattr(self, 'words') and self.words is not None:
_dict['words'] = [x._to_dict() for x in self.words]
return _dict
def __str__(self):
"""Return a `str` version of this VoiceModel object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class VoiceModels(object):
"""
Information about existing custom voice models.
:attr list[VoiceModel] customizations: An array of `VoiceModel` objects that provides
information about each available custom voice model. The array is empty if the
requesting credentials own no custom voice models (if no language is specified) or own
no custom voice models for the specified language.
"""
def __init__(self, customizations):
"""
Initialize a VoiceModels object.
:param list[VoiceModel] customizations: An array of `VoiceModel` objects that
provides information about each available custom voice model. The array is empty
if the requesting credentials own no custom voice models (if no language is
specified) or own no custom voice models for the specified language.
"""
self.customizations = customizations
@classmethod
def _from_dict(cls, _dict):
"""Initialize a VoiceModels object from a json dictionary."""
args = {}
validKeys = ['customizations']
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class VoiceModels: '
+ ', '.join(badKeys))
if 'customizations' in _dict:
args['customizations'] = [
VoiceModel._from_dict(x) for x in (_dict.get('customizations'))
]
else:
raise ValueError(
'Required property \'customizations\' not present in VoiceModels JSON'
)
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'customizations') and self.customizations is not None:
_dict['customizations'] = [
x._to_dict() for x in self.customizations
]
return _dict
def __str__(self):
"""Return a `str` version of this VoiceModels object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class Voices(object):
"""
Information about all available voice models.
:attr list[Voice] voices: A list of available voices.
"""
def __init__(self, voices):
"""
Initialize a Voices object.
:param list[Voice] voices: A list of available voices.
"""
self.voices = voices
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Voices object from a json dictionary."""
args = {}
validKeys = ['voices']
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class Voices: ' +
', '.join(badKeys))
if 'voices' in _dict:
args['voices'] = [
Voice._from_dict(x) for x in (_dict.get('voices'))
]
else:
raise ValueError(
'Required property \'voices\' not present in Voices JSON')
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'voices') and self.voices is not None:
_dict['voices'] = [x._to_dict() for x in self.voices]
return _dict
def __str__(self):
"""Return a `str` version of this Voices object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class Word(object):
"""
Information about a word for the custom voice model.
:attr str word: The word for the custom voice model.
:attr str translation: The phonetic or sounds-like translation for the word. A
phonetic translation is based on the SSML format for representing the phonetic string
of a word either as an IPA or IBM SPR translation. A sounds-like translation consists
of one or more words that, when combined, sound like the word.
:attr str part_of_speech: (optional) **Japanese only.** The part of speech for the
word. The service uses the value to produce the correct intonation for the word. You
can create only a single entry, with or without a single part of speech, for any word;
you cannot create multiple entries with different parts of speech for the same word.
For more information, see [Working with Japanese
entries](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-rules#jaNotes).
"""
def __init__(self, word, translation, part_of_speech=None):
"""
Initialize a Word object.
:param str word: The word for the custom voice model.
:param str translation: The phonetic or sounds-like translation for the word. A
phonetic translation is based on the SSML format for representing the phonetic
string of a word either as an IPA or IBM SPR translation. A sounds-like
translation consists of one or more words that, when combined, sound like the
word.
:param str part_of_speech: (optional) **Japanese only.** The part of speech for
the word. The service uses the value to produce the correct intonation for the
word. You can create only a single entry, with or without a single part of speech,
for any word; you cannot create multiple entries with different parts of speech
for the same word. For more information, see [Working with Japanese
entries](https://cloud.ibm.com/docs/services/text-to-speech?topic=text-to-speech-rules#jaNotes).
"""
self.word = word
self.translation = translation
self.part_of_speech = part_of_speech
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Word object from a json dictionary."""
args = {}
validKeys = ['word', 'translation', 'part_of_speech']
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class Word: ' +
', '.join(badKeys))
if 'word' in _dict:
args['word'] = _dict.get('word')
else:
raise ValueError(
'Required property \'word\' not present in Word JSON')
if 'translation' in _dict:
args['translation'] = _dict.get('translation')
else:
raise ValueError(
'Required property \'translation\' not present in Word JSON')
if 'part_of_speech' in _dict:
args['part_of_speech'] = _dict.get('part_of_speech')
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'word') and self.word is not None:
_dict['word'] = self.word
if hasattr(self, 'translation') and self.translation is not None:
_dict['translation'] = self.translation
if hasattr(self, 'part_of_speech') and self.part_of_speech is not None:
_dict['part_of_speech'] = self.part_of_speech
return _dict
def __str__(self):
"""Return a `str` version of this Word object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other
[docs]class Words(object):
"""
For the **Add custom words** method, one or more words that are to be added or updated
for the custom voice model and the translation for each specified word.
For the **List custom words** method, the words and their translations from the custom
voice model.
:attr list[Word] words: The **Add custom words** method accepts an array of `Word`
objects. Each object provides a word that is to be added or updated for the custom
voice model and the word's translation.
The **List custom words** method returns an array of `Word` objects. Each object shows
a word and its translation from the custom voice model. The words are listed in
alphabetical order, with uppercase letters listed before lowercase letters. The array
is empty if the custom model contains no words.
"""
def __init__(self, words):
"""
Initialize a Words object.
:param list[Word] words: The **Add custom words** method accepts an array of
`Word` objects. Each object provides a word that is to be added or updated for the
custom voice model and the word's translation.
The **List custom words** method returns an array of `Word` objects. Each object
shows a word and its translation from the custom voice model. The words are listed
in alphabetical order, with uppercase letters listed before lowercase letters. The
array is empty if the custom model contains no words.
"""
self.words = words
@classmethod
def _from_dict(cls, _dict):
"""Initialize a Words object from a json dictionary."""
args = {}
validKeys = ['words']
badKeys = set(_dict.keys()) - set(validKeys)
if badKeys:
raise ValueError(
'Unrecognized keys detected in dictionary for class Words: ' +
', '.join(badKeys))
if 'words' in _dict:
args['words'] = [Word._from_dict(x) for x in (_dict.get('words'))]
else:
raise ValueError(
'Required property \'words\' not present in Words JSON')
return cls(**args)
def _to_dict(self):
"""Return a json dictionary representing this model."""
_dict = {}
if hasattr(self, 'words') and self.words is not None:
_dict['words'] = [x._to_dict() for x in self.words]
return _dict
def __str__(self):
"""Return a `str` version of this Words object."""
return json.dumps(self._to_dict(), indent=2)
def __eq__(self, other):
"""Return `true` when self and other are equal, false otherwise."""
if not isinstance(other, self.__class__):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return `true` when self and other are not equal, false otherwise."""
return not self == other