MS Azure 上麦克风的连续语音识别
Continuous speech recognition from microphone on MS Azure
我想使用 Azure 语音服务从麦克风进行语音识别。我有一个程序 运行 在 Python 中使用 recognize_once_async() 顺利地运行,尽管它只识别第一个具有 15 秒音频限制的话语。我对这个主题做了一些研究,并查看了 MS (https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/python/console/speech_sample.py) 的示例代码,但找不到任何可以从麦克风进行连续语音识别的东西......有什么提示吗?
您可以试试下面的代码:
import azure.cognitiveservices.speech as speechsdk
import os
import time
path = os.getcwd()
# Creates an instance of a speech config with specified subscription key and service region.
# Replace with your own subscription key and region identifier from here: https://aka.ms/speech/sdkregion
speech_key, service_region = "6.....9", "eastus"
speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
# Creates a recognizer with the given settings
speech_config.speech_recognition_language="en-US"
#source_language_config = speechsdk.languageconfig.SourceLanguageConfig("en-US", "The Endpoint ID for your custom model.")
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)
done = False
def stop_cb(evt):
print('CLOSING on {}'.format(evt))
speech_recognizer.stop_continuous_recognition()
global 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)
speech_recognizer.start_continuous_recognition()
while not done:
time.sleep(.5)
解释:
默认情况下,当您不提供音频配置时 - 默认输入源是麦克风。
如果您想要 configure/customize - 您可以使用 audioconfig class
在连续识别中,有各种事件回调,例如 - 正在识别、已识别、已取消。
输出:
我想使用 Azure 语音服务从麦克风进行语音识别。我有一个程序 运行 在 Python 中使用 recognize_once_async() 顺利地运行,尽管它只识别第一个具有 15 秒音频限制的话语。我对这个主题做了一些研究,并查看了 MS (https://github.com/Azure-Samples/cognitive-services-speech-sdk/blob/master/samples/python/console/speech_sample.py) 的示例代码,但找不到任何可以从麦克风进行连续语音识别的东西......有什么提示吗?
您可以试试下面的代码:
import azure.cognitiveservices.speech as speechsdk
import os
import time
path = os.getcwd()
# Creates an instance of a speech config with specified subscription key and service region.
# Replace with your own subscription key and region identifier from here: https://aka.ms/speech/sdkregion
speech_key, service_region = "6.....9", "eastus"
speech_config = speechsdk.SpeechConfig(subscription=speech_key, region=service_region)
# Creates a recognizer with the given settings
speech_config.speech_recognition_language="en-US"
#source_language_config = speechsdk.languageconfig.SourceLanguageConfig("en-US", "The Endpoint ID for your custom model.")
speech_recognizer = speechsdk.SpeechRecognizer(speech_config=speech_config)
done = False
def stop_cb(evt):
print('CLOSING on {}'.format(evt))
speech_recognizer.stop_continuous_recognition()
global 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)
speech_recognizer.start_continuous_recognition()
while not done:
time.sleep(.5)
解释: 默认情况下,当您不提供音频配置时 - 默认输入源是麦克风。
如果您想要 configure/customize - 您可以使用 audioconfig class
在连续识别中,有各种事件回调,例如 - 正在识别、已识别、已取消。
输出: