如何在使用Azure认知语音翻译API中使用python sdk识别说话人？

Question

我试图使用修改的基于事件的合成代码示例提供的azure文档语音到语音翻译。但是，在这个过程中，我也希望识别扬声器(Seaker1,speaker2)，但是我在Python SDK中没有看到一个函数可以帮助我识别扬声器作为Speech=to-Text翻译的一部分。有人能建议在语音到文本的翻译过程中识别说话人的方法吗？下面是代码片段：

def translate_speech_to_text():

    translation_config = speechsdk.translation.SpeechTranslationConfig(subscription=speech_key, region=service_region)
    translation_config.speech_recognition_language = from_language
    translation_config.add_target_language(to_language)
    translation_config.voice_name = "en-GB-Susan"

    translation_config.request_word_level_timestamps()
    translation_config.output_format = speechsdk.OutputFormat(0)

    audio_input = speechsdk.AudioConfig(filename=filename)
    recognizer = speechsdk.translation.TranslationRecognizer(translation_config = translation_config, audio_config = audio_input)

    done = False

    def stop_cb(evt):
        """callback that stops continuous recognition upon receiving an event `evt`"""
        #print('CLOSING on {}'.format(evt))
        recognizer.stop_continuous_recognition()
        nonlocal done
        done = True

    all_results = []
    def handle_final_result(evt):
        #all_results.append(evt.result.text)
        #all_results.append(evt.result.translations['en'])
        all_results.append(evt.result.json)
    
    recognizer.recognized.connect(handle_final_result)
    # Connect callbacks to the events fired by the speech recognizer
    recognizer.recognizing.connect(lambda evt: print('RECOGNIZING: {}'.format(evt)))
    recognizer.recognized.connect(lambda evt: print('RECOGNIZED: {}'.format(evt)))
    recognizer.session_started.connect(lambda evt: print('SESSION STARTED: {}'.format(evt)))
    recognizer.session_stopped.connect(lambda evt: print('SESSION STOPPED {}'.format(evt)))
    #recognizer.canceled.connect(lambda evt: print('CANCELED {}'.format(evt)))
    recognizer.session_stopped.connect(stop_cb)
    recognizer.canceled.connect(stop_cb)
    
    def synthesis_callback(evt):
        print('Audio: {}'.format(len(evt.result.audio)))
        print('Reason: {}'.format(evt.result.reason))
        with open('out.wav', 'wb') as wavfile:
            wavfile.write(evt.result.audio)
   
    recognizer.synthesizing.connect(synthesis_callback)
    recognizer.start_continuous_recognition()    

    while not done:
        time.sleep(.5)
    
    print("Printing all results:")
    print(all_results)

translate_speech_to_text()

Answer 1

如果要识别说话人，应使用语音服务。

文本无关-识别单个说话人

Speech Services有一个完整的SDK，使用C#、C++、JavaScript、REST，并且可以执行说话人识别。（我搜索了Python SDK，但没有找到可以直接用于识别它的方法。）

2.建议使用request发送http post请求。