1. 首先安装依赖库
pip install playsound # 该库用于播放音频文件
pip install speech_recognition # 该库用于语音识别
pip install PocketSphinx # 语音识别模块中只有sphinx支持离线的,使用该模块需单独安装
pip install pyttsx3 # 该库用于将文本转换为语音播放
pip install comtypes # 该库可以从文本文件中获取输入转换为语音文件
2. 播放音频文件
from playsound import playsound
playsound('audio_filescnhello.mp3')
3. 语音识别
默认只识别英文,如果需要支持中文,需要下载中文模型包,下载地址如下:
CMU Sphinx – Browse /Acoustic and Language Models at SourceForge.net
下载完解压到sphinx安装路径下:
D:installAnacondaLibsite-packagesspeech_recognitionpocketsphinx-data
import speech_recognition as sr
r = sr.Recognizer()
harvard = sr.AudioFile('audio_filesharvard.wav')
with harvard as source:
# r.adjust_for_ambient_noise(source) # 消除环境背景音
audio = r.record(source) # record()函数,将整个音频文件读入AudioData实例
print(type(audio))
r.recognize_sphinx(audio)
4. 通过麦克风输入并识别
import speech_recognition as sr
mic = sr.Microphone()
with mic as 服务器托管网source:
r.adjust_for_ambient_noise(source)
audio = r.listen(source)
r.recognize_sphinx(audio)
5. 文本转语音播放
import pyttsx3
engine = pyttsx3.init()
engine.say("hello world")
engine.say("你好")
engine.runAndWait()
engine.stop()
6. 文本转语音
# 文本转语音
from comtypes.client import CreateObject
from comtypes.gen import SpeechLib
engine = CreateObject("SAPI.SpVoice")
stream = CreateObject('SAPI.SpFileStream')
infile = 'demo.txt'
outfile = 'demo_audio.wav'服务器托管网
stream.open(outfile, SpeechLib.SSFMCreateForWrite)
engine.AudioOutputStream = stream
f = open(infile, 'r', encoding='utf-8')
theText = f.read()
f.close()
engine.speak(theText)
stream.close()
7. 语音转文本(英文识别)
# 语音文件转文本文件
import speech_recognition as sr
r = sr.Recognizer()
harvard = sr.AudioFile('demo_audio.wav')
with harvard as source:
# r.adjust_for_ambient_noise(source)
audio = r.record(source)
r.recognize_sphinx(audio, language='en-US')
>>'hello everyone my name is bob'
8. 语音转文本(中文识别)
# 语音文件转文本文件
import speech_recognition as sr
r = sr.Recognizer()
harvard = sr.AudioFile('demo_audio.wav')
with harvard as source:
# r.adjust_for_ambient_noise(source)
audio = r.record(source)
r.recognize_sphinx(audio, language='zh-CN')
>> ‘好好 学习 天天 向上’
参考:
python实现语音识别功能
从0开始语音识别
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