准备工作
您向 Google 提供了 Google Cloud 项目 ID,以便访问 Custom Voice 功能。确保您已为此项目启用结算功能、启用 Text-to-Speech API 和 AutoML API,并且已安装并初始化 Google Cloud CLI。
向您的 Google 账号授予项目的 AutoML Predictor 角色。如需查看相关说明,请参阅授予单个角色。
使用命令行
HTTP 方法和网址:
POST https://texttospeech.googleapis.com/v1beta1/text:synthesize
请求 JSON 正文:
{
"input":{
"text":"Android is a mobile operating system developed by Google, based on the Linux kernel and designed primarily for touchscreen mobile devices such as smartphones and tablets."
},
"voice":{
"custom_voice":{
"reportedUsage":"REALTIME",
"model":"projects/{project_id}/locations/us-central1/models/{model_id}",
}
},
"audioConfig":{
"audioEncoding":"LINEAR16"
}
}
将请求正文保存在名为 request.json
的文件中,然后执行以下命令,并将 PROJECT_ID
替换为您的项目 ID:
curl -X POST \ -H "Authorization: Bearer "$(gcloud auth print-access-token) \ -H "x-goog-user-project: PROJECT_ID" \ -H "Content-Type: application/json; charset=utf-8" \ -d @request.json \ https://texttospeech.googleapis.com/v1beta1/text:synthesize
使用 Python 客户端库
下载客户端库并运行以下命令:
pip install texttospeech-custom-voice-beta-v1beta1-py.tar.gz
pip install protobuf --upgrade pip
Python 代码示例
"""Synthesize custom voice from the input string of text or ssml.
"""
from google.cloud import texttospeech_v1beta1
# Instantiate a client
client = texttospeech_v1beta1.TextToSpeechClient()
# Set the text input to be synthesized
synthesis_input = texttospeech_v1beta1.types.SynthesisInput(text="Hello, World!")
# Build the voice request, select the language code ("en-US") and specify
# custom voice model and speaker_id.
custom_voice = texttospeech_v1beta1.types.CustomVoiceParams(
reported_usage=texttospeech_v1beta1.enums.CustomVoiceParams.ReportedUsage.REALTIME,
model='projects/{project_id}/locations/us-central1/models/{model_id}')
voice = texttospeech_v1beta1.types.VoiceSelectionParams(
language_code='en-US',
custom_voice=custom_voice)
# Select the type of audio file you want returned
audio_config = texttospeech_v1beta1.types.AudioConfig(
audio_encoding=texttospeech_v1beta1.enums.AudioEncoding.LINEAR16)
# Perform the text-to-speech request on the text input with the selected
# voice parameters and audio file type
response = client.synthesize_speech(synthesis_input, voice, audio_config)
# The response's audio_content is binary.
with open('output.wav', 'wb') as out:
# Write the response to the output file.
out.write(response.audio_content)
print('Audio content written to file "output.wav"')