文本转语音 Google Cloud Python

Question

我想计算在 Google Cloud 中使用 Python 将文本转换为语音时句子的持续时间。例如，如果我将三个句子转换为音频，我想知道第一个句子何时在音频中开始，第二个句子等。

示例：

text= 'Hello, World 。我会说任何语言。我很想帮助你。'

你好，世界：开始 00:00 结束 00:03

我会说任何语言：开始 00:04 结束 00:09 strong>

我想帮助你：开始 00:10 结束 00:13

python 中有这样的东西吗？这是主要代码：

"""Synthesizes speech from the input string of text or ssml.

Note: ssml must be well-formed according to:
    https://www.w3.org/TR/speech-synthesis/
"""
from google.cloud import texttospeech

# Instantiates a client
client = texttospeech.TextToSpeechClient()

# Set the text input to be synthesized
synthesis_input = texttospeech.types.SynthesisInput(text="Hello, World. I can speak any language. I would like to help you.")

# Build the voice request, select the language code ("en-US") and the ssml
# voice gender ("neutral")
voice = texttospeech.types.VoiceSelectionParams(
    language_code="en-US", ssml_gender=texttospeech.enums.SsmlVoiceGender.NEUTRAL
)

texttospeech_v1beta1.types.cloud_tts_pb2

# Select the type of audio file you want returned
audio_config = texttospeech.types.AudioConfig(
    audio_encoding=texttospeech.enums.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"')