synthesize_speech_multiple_speakers.py

#!/usr/bin/env python
# Copyright 2024 Google LLC
#
# 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
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"""Google Cloud Text-To-Speech API sample application .

Example usage:
    python synthesize_speech_multiple_speakers.py
"""


def synthesize_speech_multiple_speakers():
    # [START tts_synthesize_speech_multiple_speakers]
    """Synthesizes speech for multiple speakers.
    Make sure to be working in a virtual environment.
    """
    from google.cloud import texttospeech_v1beta1 as texttospeech

    # Instantiates a client
    client = texttospeech.TextToSpeechClient()

    multi_speaker_markup = texttospeech.MultiSpeakerMarkup(
        turns=[
            texttospeech.MultiSpeakerMarkup.Turn(
                text="I've heard that the Google Cloud multi-speaker audio generation sounds amazing!",
                speaker="R",
            ),
            texttospeech.MultiSpeakerMarkup.Turn(
                text="Oh? What's so good about it?", speaker="S"
            ),
            texttospeech.MultiSpeakerMarkup.Turn(text="Well..", speaker="R"),
            texttospeech.MultiSpeakerMarkup.Turn(text="Well what?", speaker="S"),
            texttospeech.MultiSpeakerMarkup.Turn(
                text="Well, you should find it out by yourself!", speaker="R"
            ),
            texttospeech.MultiSpeakerMarkup.Turn(
                text="Alright alright, let's try it out!", speaker="S"
            ),
        ]
    )

    # Set the text input to be synthesized
    synthesis_input = texttospeech.SynthesisInput(
        multi_speaker_markup=multi_speaker_markup
    )

    # Build the voice request, select the language code ('en-US') and the voice
    voice = texttospeech.VoiceSelectionParams(
        language_code="en-US", name="en-US-Studio-MultiSpeaker"
    )

    # Select the type of audio file you want returned
    audio_config = texttospeech.AudioConfig(
        audio_encoding=texttospeech.AudioEncoding.MP3
    )

    # Perform the text-to-speech request on the text input with the selected
    # voice parameters and audio file type
    response = client.synthesize_speech(
        input=synthesis_input, voice=voice, audio_config=audio_config
    )

    # The response's audio_content is binary.
    with open("output.mp3", "wb") as out:
        # Write the response to the output file.
        out.write(response.audio_content)
        print('Audio content written to file "output.mp3"')
    # [END tts_synthesize_speech_multiple_speakers]


if __name__ == "__main__":
    synthesize_speech_multiple_speakers()