如果要识别中文语音,需要在 python安装目录\Lib\site-packages\speech_recognition\pocketsphinx-data\ 下,增加一个zh-CN的模型。这个中文模型,如果你按照提示去github(https://github.com/Uberi/speech_recognition/blob/master/reference/pocketsphinx.rst)上找,会发现作者把普通话的模型放在谷歌云盘上了,但是别处还是有...
Microphone+list_microphone_names()+adjust_for_ambient_noise()+listen() 结尾 通过以上的步骤,你应该能够使用Python的SpeechRecognition库进行语音识别,并列出可用的麦克风设备。在实践中,将所学的内容应用于更复杂的项目中,例如语音助手、语音转文本应用等,会大有帮助。希望这篇文章能够对你有所帮助!继续学习并享受...
https://pypi.org/project/SpeechRecognition/ https://github.com/Uberi/speech_recognition SpeechRecognition用于执行语音识别的库,支持多个引擎和 API,在线和离线。 2 测试 2.1 命令 python-mspeech_recognition 1. 2.2 fastapi importjsonimportosfrompprintimportpprintimportspeech_recognitionimporttorchimportuvicornfro...
当然,我可以帮助你利用Python编写代码来实现语音录制功能,并使用speechrecognition包的.listen()方法。以下是详细的步骤和代码片段: 1. 导入speechrecognition包 首先,你需要确保已经安装了speechrecognition包。如果还没有安装,可以使用以下命令进行安装: bash pip install SpeechRecognition 然后,在你的Python代码中导入这...
import pythoncom #主要应用于python调用com接口 #定义语音识别对象并开启SAPI语音识别引擎 speaker=win32com.client.Dispatch('SAPI.SPVOICE') #定义一个语音识别类 class SpeechRecognition: #用传入的单词列表初始化语音识别 def __init__(self,wordsToAdd): ...
Microphone(device_index = None) 和 代码语言:javascript 复制 A device index is an integer between 0 and pyaudio.get_device_count() - 1 您还可以看到如何获取所有可用设备的列表。 代码语言:javascript 复制 import speech_recognition as sr for index, name in enumerate(sr.Microphone.list_microphone_...
Microsoft Bing Voice Recognition (Deprecated) Houndify API IBM Speech to Text Snowboy Hotword Detection(works offline) Quickstart:pip install SpeechRecognition. See the "Installing" section for more details. To quickly try it out, runpython -m speech_recognitionafter installing. ...
import speech_recognition as sr for index, name in enumerate(sr.Microphone.list_microphone_names()): print("Microphone with name \"{1}\" found for `Microphone(device_index={0})`".format(index, name)) This will print out something like the following: ...
因此,我尝试使用python1.1.3,但它没有通过我的麦克风识别我。我已经安装了pyAudio,当我运行SpeechRecognition提供的示例代码时,一切似乎都很顺利: 代码语言:javascript 复制 # NOTE: this requires PyAudio because it uses the Microphone class import speech_recognition as sr r = sr.Recognizer() with sr.Micro...
The first component of speech recognition is, of course, speech. Speech must be converted from physical sound to an electrical signal with a microphone, and then to digital data with an analog-to-digital converter. Once digitized, several models can be used to transcribe the audio to text. ...