编辑 Azure Python 代码以清理 Speech-to-Text 输出

Question

我正在使用 Microsoft Azure 的语音到文本 API，它运行良好，但输出很麻烦，我想对其进行清理，以便只显示已识别的语音。

这就是输出的样子

azure 提供的 python 片段是：

try:
    import azure.cognitiveservices.speech as speechsdk
import sys
sys.exit(1)

speech_key, service_region = "***", "***"

weatherfilename = os.path.join(
    os.path.dirname(__file__),
    'orf_audio_2',
    '716_anton.wav')
# def speech_recognize_once_from_file():
    """performs one-shot speech recognition with input from an audio     file"""
# <SpeechRecognitionWithFile>
speech_config = speechsdk.SpeechConfig(subscription=speech_key,     region=service_region)
audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)
# Creates a speech recognizer using a file as audio input.
# The default language is "en-us".
speech_recognizer =     speechsdk.SpeechRecognizer(speech_config=speech_config,     audio_config=audio_config)

start_continuous_recognition() instead.
result = speech_recognizer.recognize_once()

# Check the result
if result.reason == speechsdk.ResultReason.RecognizedSpeech:
    print("Recognized: {}".format(result.text))
elif result.reason == speechsdk.ResultReason.NoMatch:
    print("No speech could be recognized: {}".format(result.no_match_details))
elif result.reason == speechsdk.ResultReason.Canceled:
    cancellation_details = result.cancellation_details
    print("Speech Recognition canceled: {}".format(cancellation_details.reason))
    if cancellation_details.reason == speechsdk.CancellationReason.Error:
        print("Error details: {}".format(cancellation_details.error_details))
# </SpeechRecognitionWithFile>

Answer 1

示例代码中的result.text是识别语音的最简单输出。

我使用默认麦克风的测试：

---

请参考以下对我有用的代码片段。

import azure.cognitiveservices.speech as speechsdk
import time
# Creates an instance of a speech config with specified subscription key and service region.
# Replace with your own subscription key and service region (e.g., "westus").
speech_key, service_region = "***", "***"

weatherfilename = "D:\\whatstheweatherlike.wav"

speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
audio_config = speechsdk.audio.AudioConfig(filename=weatherfilename)

# Creates a recognizer with the given settings
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config, audio_config=audio_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()

输出如下所示：