Movie py：从内存中的文本到语音导入音频

我正在尝试将 Azure 的文本转语音与movie.py为视频创建音频流。

result = synthesizer.speak_ssml_async(xml_string).get()
stream = AudioDataStream(result)

该过程的输出是：

<azure.cognitiveservices.speech.AudioDataStream at 0x2320cb87ac0>

然而，movie.py无法使用以下命令导入它：

audioClip = AudioFileClip(stream)

这给了我错误：

AudioDataStream' 对象没有属性 'endswith'

我需要将 Azure Stream 转换为.wav？我怎么做？我需要在不写的情况下完成整个过程.wav本地文件（例如stream.save_to_wav_file）但仅使用内存流。

请问有人可以找一盏灯吗？

我为你写了一个HTTP触发Python函数，只需尝试下面的代码：

import azure.functions as func
import azure.cognitiveservices.speech as speechsdk
import tempfile
import imageio
imageio.plugins.ffmpeg.download()
from moviepy.editor import AudioFileClip



speech_key="<speech service key>"
service_region="<speech service region>"
temp_file_path = tempfile.gettempdir() + "/result.wav"
text = 'hello, this is a test'

def main(req: func.HttpRequest) -> func.HttpResponse:
    speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)

    auto_detect_source_language_config = speechsdk.languageconfig.AutoDetectSourceLanguageConfig()

    speech_synthesizer = speechsdk.SpeechSynthesizer(
        speech_config=speech_config, auto_detect_source_language_config=auto_detect_source_language_config,audio_config=None)

    result = speech_synthesizer.speak_text_async(text).get();
    if result.reason == speechsdk.ResultReason.SynthesizingAudioCompleted:
            stream = speechsdk.AudioDataStream(result)
            stream.save_to_wav_file(temp_file_path)
    
    myclip = AudioFileClip(temp_file_path)

    return func.HttpResponse(str(myclip.duration))

逻辑很简单，从语音服务获取语音流并保存到临时文件并使用AudioDataStream以获得其持续时间。

Result:

If you still get some errors, you can get error details here:

如果您还有任何疑问，请告诉我。