一、所需库安装
pip install PyAudio pip install SpeechRecognition pip install baidu-aip pip install Wave pip install Wheel pip install Pyinstaller
二、百度官网申请服务
三、源代码分享
import pyaudio
import wave
from aip import AipSpeech
import time
# 用Pyaudio库录制音频
# out_file:输出音频文件名
# rec_time:音频录制时间(秒)
def audio_record(out_file, rec_time):
CHUNK = 1024
FORMAT = pyaudio.paInt16 # 16bit编码格式
CHANNELS = 1 # 单声道
RATE = 16000 # 16000采样频率
p = pyaudio.PyAudio()
# 创建音频流
stream = p.open(format=FORMAT, # 音频流wav格式
channels=CHANNELS, # 单声道
rate=RATE, # 采样率16000
input=True,
frames_per_buffer=CHUNK)
print("开始记录语音{0}秒后开始识别...".format(rec_time))
frames = [] # 录制的音频流
# 录制音频数据
for i in range(0, int(RATE / CHUNK * rec_time)):
data = stream.read(CHUNK)
frames.append(data)
# 录制完成
stream.stop_stream()
stream.close()
p.terminate()
print("结束识别")
# 保存音频文件
wf = wave.open(out_file, 'wb')
wf.setnchannels(CHANNELS)
wf.setsampwidth(p.get_sample_size(FORMAT))
wf.setframerate(RATE)
wf.writeframes(b''.join(frames))
wf.close()
def audio_recog(recogFile):
# 读取文件
def get_file_content(filePath):
with open(filePath, 'rb') as fp:
return fp.read()
# 识别本地文件
result = client.asr(get_file_content(recogFile), 'wav', 16000, {'dev_pid': 1537,})
return result
def write_file(file,text):
import time
time = time.strftime("%Y-%m-%d %H:%M:%S", time.localtime())
f = open(file, 'a')
f.write(time+':'+text+'\n')
f.close()
audioFile="audio.wav"
textFile="识别结果.txt"
""" 你的 APPID AK SK """
APP_ID = '你的APP_ID'
API_KEY = '你的API_KEY'
SECRET_KEY = '你的SECRET_KEY'
client = AipSpeech(APP_ID, API_KEY, SECRET_KEY)
if __name__ == '__main__':
while True:
audio_record(audioFile, 5)
textResult = audio_recog("audio.wav")
if textResult['err_msg'] =="success.":
print(textResult['result'])
write_file(textFile,str(textResult['result']))
四、打包成软件
进入到目录执行下面命令：
pyinstaller -F main.py
