python语音识别whisper的使用

Python语音识别Whisper的使用

Whisper是一种轻量级的Python语音识别库，它可以通过声音输入文本。本文将介绍如何使用Whisper库进行声音识别，并提供两个使用例子。

安装

在使用Whisper之前，需要先安装相应的库。

1. 安装PyAudio

PyAudio是Python用于访问麦克风和扬声器的库。可以使用以下命令进行安装:

pip install pyaudio

1. 安装SpeechRecognition

SpeechRecognition是Python语音识别库，Whisper是其支持的一种语音识别引擎。可以使用以下命令进行安装:

pip install SpeechRecognition

使用Whisper进行语音识别

1. 导入SpeechRecognition和Whisper

在开始使用Whisper之前，需要导入SpeechRecognition库，并将Whisper作为语音识别引擎。

import speech_recognition as sr
r = sr.Recognizer()
r.energy_threshold = 4000
r.dynamic_energy_threshold = False
r.pause_threshold = 0.5
r.operation_timeout = None
r.microphone = None
r.phrase_threshold = 0.3
r.non_speaking_duration = 0.5
r.apply_speedup = 1.0
r.processing_rate = 16000
r.language = 'en-US'
r.acoustic_customization = ''
r.grammar_customization = ''
r.endpoint_example = ''
r.enhance_model_enabled = True
r.mfcc_max_features = 26
r.mfcc_htk_compat = False
r.features_extractor = 'MfccFeatureExtractor'
r.background_audio_gathering = True
r.background_audio_duration = 5.0
r.hardware_specs = ''
r.instance_transport = 'websocket'
r.socket_options = ''

with sr.Microphone() as source:
    print("Speak now!")
    audio = r.listen(source, timeout=None, phrase_time_limit=None, snowboy_configuration=None)

1. 通过麦克风输入音频

使用Whisper进行语音识别的第一步是从麦克风中读取音频。

with sr.Microphone() as source:
    print("Speak now!")
    audio = r.listen(source)

1. 识别声音

在将音频从麦克风读取到内存中后，下一步是使用Whisper进行语音识别。可以使用recognize_google或recognize_sphinx进行语音识别。

try:
    text = r.recognize_google(audio)
    print("You said: {}".format(text))
except sr.UnknownValueError:
    print("Whisper could not understand audio")
except sr.RequestError as e:
    print("Could not request results from Whisper service; {0}".format(e))

1. 示例1: 说出数字，进行语音识别

import speech_recognition as sr
r = sr.Recognizer()

with sr.Microphone() as source:
    print("Speak now!")
    audio = r.listen(source)

try:
    text = r.recognize_google(audio)
    print("You said: {}".format(text))
except sr.UnknownValueError:
    print("Whisper could not understand audio")
except sr.RequestError as e:
    print("Could not request results from Whisper service; {0}".format(e))

1. 示例2: 说出一句话，进行语音识别

import speech_recognition as sr
r = sr.Recognizer()

with sr.Microphone() as source:
    print("Speak now!")
    audio = r.listen(source)

try:
    text = r.recognize_google(audio)
    print("You said: {}".format(text))
except sr.UnknownValueError:
    print("Whisper could not understand audio")
except sr.RequestError as e:
    print("Could not request results from Whisper service; {0}".format(e))

总结

在本文中，我们介绍了如何使用Python语音识别Whisper库识别声音，并提供了两个简单的示例。