Python Azure语音到文本-连续识别

我希望看到Azure语音服务的准确性，特别是使用音频文件的语音到文本

我一直在阅读文档，并使用MS quickstar页面中建议的代码进行操作。代码工作正常，我可以得到一些转录，但它只是转录音频的开头（第一句话）：

根据文档，看起来我必须使用信号和事件来捕获完整的音频，方法是start\u continuous\u recognition（这没有为python编写文档，但看起来实现了该方法和相关类）。 我试着学习c#和Java中的其他示例，但无法在Python中实现这一点

有人能做到这一点并提供一些指导吗？ 多谢各位

您可以尝试以下方法：

import azure.cognitiveservices.speech as speechsdk
import time
speech_key, service_region = "xyz", "WestEurope"
speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region, speech_recognition_language="it-IT")
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)

speech_recognizer.session_started.connect(lambda evt: print('SESSION STARTED: {}'.format(evt)))
speech_recognizer.session_stopped.connect(lambda evt: print('\nSESSION STOPPED {}'.format(evt)))
speech_recognizer.recognized.connect(lambda evt: print('\n{}'.format(evt.result.text)))

print('Say a few words\n\n')
speech_recognizer.start_continuous_recognition()
time.sleep(10)
speech_recognizer.stop_continuous_recognition()

speech_recognizer.session_started.disconnect_all()
speech_recognizer.recognized.disconnect_all()
speech_recognizer.session_stopped.disconnect_all()

---

记住设置您的首选语言。虽然不算太多，但这是一个很好的起点，而且很有效。我将继续试验。

检查Azure python示例：

或其他语言样本：

基本上如下：

def speech_recognize_continuous_from_file():
    """performs continuous speech recognition with input from an audio file"""
    # <SpeechContinuousRecognitionWithFile>
    speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
    audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)

    speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)

    done = False

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

    # Connect callbacks to the events fired by the speech recognizer
    speech_recognizer.recognizing.connect(lambda evt: print('RECOGNIZING: {}'.format(evt)))
    speech_recognizer.recognized.connect(lambda evt: print('RECOGNIZED: {}'.format(evt)))
    speech_recognizer.session_started.connect(lambda evt: print('SESSION STARTED: {}'.format(evt)))
    speech_recognizer.session_stopped.connect(lambda evt: print('SESSION STOPPED {}'.format(evt)))
    speech_recognizer.canceled.connect(lambda evt: print('CANCELED {}'.format(evt)))
    # stop continuous recognition on either session stopped or canceled events
    speech_recognizer.session_stopped.connect(stop_cb)
    speech_recognizer.canceled.connect(stop_cb)

    # Start continuous speech recognition
    speech_recognizer.start_continuous_recognition()
    while not done:
        time.sleep(.5)
    # </SpeechContinuousRecognitionWithFile>

def speech_从_文件（）中识别_continuous_:
“”“使用音频文件的输入执行连续语音识别”“”
# 
speechsdk.SpeechConfig（订阅=语音密钥，区域=服务区域）
audio\u config=speechsdk.audio.AudioConfig（文件名=weatherfilename）
语音识别器=speechsdk.SpeechRecognizer（语音配置=语音配置，音频配置=音频配置）
完成=错误
def停止_cb（evt）：
“”“在接收到事件'evt'时停止连续识别的回调”
打印（{}结束。格式（evt））
语音识别器。停止连续识别（）
非局部完成
完成=正确
#将回调连接到语音识别器触发的事件
语音识别器。识别。连接（lambda evt:print（'recogniting:{}'。格式（evt）））
语音识别器.recognized.connect（lambda evt:print（'recognized:{}.format（evt）））
语音识别器.session\u started.connect（lambda evt:print（'session started:{}'.format（evt）））
语音识别器.session\u stopped.connect（lambda evt:print（'session stopped{}.format（evt）））
语音识别器.cancelled.connect（lambda evt:print（'cancelled{}.format（evt）））
#在会话已停止或已取消的事件上停止连续识别
语音识别器。会话已停止。连接（停止\u cb）
语音识别器。已取消。连接（停止\u cb）
#启动连续语音识别
语音识别器。启动连续语音识别（）
虽然没有这样做：
时间。睡眠（.5）
# 

def speech_recognize_continuous_from_file():
    """performs continuous speech recognition with input from an audio file"""
    # <SpeechContinuousRecognitionWithFile>
    speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
    audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)

    speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_config)

    done = False

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

    # Connect callbacks to the events fired by the speech recognizer
    speech_recognizer.recognizing.connect(lambda evt: print('RECOGNIZING: {}'.format(evt)))
    speech_recognizer.recognized.connect(lambda evt: print('RECOGNIZED: {}'.format(evt)))
    speech_recognizer.session_started.connect(lambda evt: print('SESSION STARTED: {}'.format(evt)))
    speech_recognizer.session_stopped.connect(lambda evt: print('SESSION STOPPED {}'.format(evt)))
    speech_recognizer.canceled.connect(lambda evt: print('CANCELED {}'.format(evt)))
    # stop continuous recognition on either session stopped or canceled events
    speech_recognizer.session_stopped.connect(stop_cb)
    speech_recognizer.canceled.connect(stop_cb)

    # Start continuous speech recognition
    speech_recognizer.start_continuous_recognition()
    while not done:
        time.sleep(.5)
    # </SpeechContinuousRecognitionWithFile>