如何使用 Python Azure 文本转语音 api 生成 mp3 文件

Question

我可以使用下面的代码生成“Mary had a little lamb”的 wav 文件。但是当我尝试生成 mp3 时它失败了

#https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/get-started-text-to-speech?tabs=script%2Cwindowsinstall&pivots=programming-language-python

import azure.cognitiveservices.speech as speechsdk

languageCode = 'en-US'
ssmlGender = 'MALE'
voicName = 'en-US-JennyNeural'
speakingRate = '-5%'
pitch = '-10%'
voiceStyle = 'newscast'

azureKey = 'FAKE KEY'
azureRegion = 'FAKE REGION'

#############################################################
#audioOuputFile = './audioFiles/test.wav'
audioOuputFile = './audioFiles/test.mp3'
#############################################################

txt = 'Mary had a little lamb it\'s fleece was white as snow.'
txt+= 'And everywhere that Mary went, the lamb was sure to go,'
txt+= 'It followed her to school one day,'
txt+= 'That was against the rule,'
txt+= 'It made the children laugh and play,'
txt+= 'To see a lamb at school.'

head1 = f'<speak xmlns="http://www.w3.org/2001/10/synthesis" xmlns:mstts="http://www.w3.org/2001/mstts" xmlns:emo="http://www.w3.org/2009/10/emotionml" version="1.0" xml:lang="{languageCode}">'
head2 = f'<voice name="{voicName}">'
head3 =f'<mstts:express-as style="{voiceStyle}">'
head4 = f'<prosody rate="{speakingRate}" pitch="{pitch}">'
tail= '</prosody></mstts:express-as></voice></speak>'

ssml = head1 + head2 + head3 + head4 + txt + tail
print('this is the ssml======================================')
print(ssml)
print('end ssml======================================')
print()

speech_config = speechsdk.SpeechConfig(subscription=azureKey, region=azureRegion)
audio_config = speechsdk.AudioConfig(filename=audioOuputFile)

#HERE IS THE PROBLEM
#Without this statement everything works fine
#Can produce a wav file 
speech_config.set_speech_synthesis_output_format(SpeechSynthesisOutputFormat["Audio16Khz128KBitRateMonoMp3"])

synthesizer = speechsdk.SpeechSynthesizer(speech_config=speech_config, audio_config=audio_config)
synthesizer.speak_ssml_async(ssml)

这是控制台输出：

(envo) D:\py_new\tts>python ttsTest3.py 这是ssml======================================= 玛丽有一只小羊羔，它的羊毛像雪一样洁白。玛丽走到哪里，羊羔肯定会去，有一天它跟着她去学校，那是违反规定的,让孩子们笑着玩耍,在学校看到一只小羊。 结束ssml=======================================

Traceback（最近一次调用最后一次）： 文件“D:\py_new\tts\ttsTest3.py”，第 45 行，在 Speech_config.set_speech_synthesis_output_format（SpeechSynthesisOutputFormat[“Audio16Khz128KBitRateMonoMp3”]） NameError：未定义名称“SpeechSynthesisOutputFormat”

(envo) D:\py_new\tts>

注意错误： NameError：未定义名称“SpeechSynthesisOutputFormat”

比较： 自定义音频格式

在：

https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/get-started-text-to-speech?tabs=script%2Cwindowsinstall&pivots=programming-language-python

在 Nodejs 中一切正常。但我也需要能够在 Python 中做到这一点。

Answer 1

你需要像这样配置你的音频

def hindi_text_to_speech_azure(hindi_text):
    speech_config = SpeechConfig(subscription=SPEECH_KEY, region=LOCATION_AREA)
    # Note: if only language is set, the default voice of that language is chosen.
    speech_config.speech_synthesis_language = LANGUAGE_LOCATION_HINDI  # e.g. "de-DE"
    # The voice setting will overwrite language setting.
    # The voice setting will not overwrite the voice element in input SSML.
    speech_config.speech_synthesis_voice_name = MALE_VOICE_NAME_HINDI

    audio_config = AudioOutputConfig(
    filename="{name}.mp3".format(name=hindi_text[:30]))

    synthesizer = SpeechSynthesizer(
    speech_config=speech_config, audio_config=audio_config)
    synthesizer.speak_text_async(hindi_text)

试试这个。

但问题是实际上这不是问题，但我坚持将文件保存在本地，但我想在本地存储中即时将其上传到服务器（默认存储）。你知道吗？

Answer 2

试试这个

speech_config.set_speech_synthesis_output_format(speechsdk.SpeechSynthesisOutputFormat.Audio16Khz32KBitRateMonoMp3)