通过google cloud API 使用 WaveNet

Cloud Text-to-Speech 中使用了WaveNet,用于TTS,页面上有Demo。目前是BETA版

使用方法

  • 注册及认证参考:Quickstart: Text-to-Speech
  • 安装google clould 的python库
  • 安装 Google Cloud Text-to-Speech API Python 依赖(Dependencies),参见github说明
  • ----其中包括了,安装pip install google-cloud-texttospeech==0.1.0

为了implicit调用,设置环境变量GOOGLE_APPLICATION_CREDENTIALS到你的API Key(json文件),完成后重启

通过google cloud API 使用 WaveNet

python脚本:text到mp3

# [START tts_synthesize_text]
def synthesize_text(text):
"""Synthesizes speech from the input string of text."""
from google.cloud import texttospeech
client = texttospeech.TextToSpeechClient() input_text = texttospeech.types.SynthesisInput(text=text) # Note: the voice can also be specified by name.
# Names of voices can be retrieved with client.list_voices().
voice = texttospeech.types.VoiceSelectionParams(
language_code='en-US',
ssml_gender=texttospeech.enums.SsmlVoiceGender.FEMALE) audio_config = texttospeech.types.AudioConfig(
audio_encoding=texttospeech.enums.AudioEncoding.MP3) response = client.synthesize_speech(input_text, voice, audio_config) # The response's audio_content is binary.
with open('output.mp3', 'wb') as out:
out.write(response.audio_content)
print('Audio content written to file "output.mp3"')
# [END tts_synthesize_text]

  

WaveNet特性

目前支持的6种voice type

通过google cloud API 使用 WaveNet

通过google cloud API 使用 WaveNet

参数说明

https://cloud.google.com/text-to-speech/docs/reference/rest/v1beta1/text/synthesize#audioconfig

  • input_text

通过google cloud API 使用 WaveNet

  • voice

通过google cloud API 使用 WaveNet

  • audio_config

通过google cloud API 使用 WaveNet

通过google cloud API 使用 WaveNet

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