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audio_profile.py
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#!/usr/bin/env python
# Copyright 2018 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
# limitations under the License.
#
"""Google Cloud Text-To-Speech API sample application for audio profile.
Example usage:
python audio_profile.py --text "hello" --effects_profile_id
"telephony-class-application" --output "output.mp3"
"""
import argparse
# [START tts_synthesize_text_audio_profile]
# [START tts_synthesize_text_audio_profile_beta]
def synthesize_text_with_audio_profile():
"""Synthesizes speech from the input string of text."""
from google.cloud import texttospeech
text = "hello"
output = "output.mp3"
effects_profile_id = "telephony-class-application"
client = texttospeech.TextToSpeechClient()
input_text = texttospeech.SynthesisInput(text=text)
# Note: the voice can also be specified by name.
# Names of voices can be retrieved with client.list_voices().
voice = texttospeech.VoiceSelectionParams(language_code="en-US")
# Note: you can pass in multiple effects_profile_id. They will be applied
# in the same order they are provided.
audio_config = texttospeech.AudioConfig(
audio_encoding=texttospeech.AudioEncoding.MP3,
effects_profile_id=[effects_profile_id],
)
response = client.synthesize_speech(
input=input_text, voice=voice, audio_config=audio_config
)
# The response's audio_content is binary.
with open(output, "wb") as out:
out.write(response.audio_content)
print('Audio content written to file "%s"' % output)
# [END tts_synthesize_text_audio_profile_beta]
# [END tts_synthesize_text_audio_profile]
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
)
parser.add_argument("--output", help="The output mp3 file.")
parser.add_argument("--text", help="The text from which to synthesize speech.")
parser.add_argument(
"--effects_profile_id", help="The audio effects profile id to be applied."
)
args = parser.parse_args()
synthesize_text_with_audio_profile(args.text, args.output, args.effects_profile_id)