基于百度语音识别的智能交互系统

from aip import AipSpeech import jieba from pyaudio import PyAudio,paInt16 import wave import winsound import numpy as np import urllib import requests import json import os import sys from pydub import AudioSegment """ 你的 APPID AK SK 在下方输入你的百度项目id api key 以及SECRET_KEY""" APP_ID = '' API_KEY = '' SECRET_KEY = '' aipSpeech = AipSpeech(APP_ID, API_KEY, SECRET_KEY) framerate=8000 NUM_SAMPLES=2000 channels=1 sampwidth=2 TIME=2 def save_file(filename,data): '''save the date to the wavfile''' wf=wave.open(filename,'wb') wf.setnchannels(channels) wf.setsampwidth(sampwidth) wf.setframerate(framerate) wf.writeframes(b"".join(data)) wf.close() def my_record(): pa=PyAudio() stream=pa.open(format = paInt16,channels=1, rate=framerate,input=True, frames_per_buffer=NUM_SAMPLES) buf=[] count=0 while count<TIME*10:#控制录音时间 string_audio_data = stream.read(NUM_SAMPLES) audio_data = np.fromstring(string_audio_data, dtype=np.short) large_count = np.sum( audio_data > 900 ) temp = np.max(audio_data) if(large_count>=20): buf.append(string_audio_data) count+=1 print('.',end='') save_file('in.wav',buf) stream.close() # 定义数据流块 chunk=2014 def play(): wf=wave.open(r"in.wav",'rb') p=PyAudio() stream=p.open(format=p.get_format_from_width(wf.getsampwidth()),channels= wf.getnchannels(),rate=wf.getframerate(),output=True) while True: data=wf.readframes(chunk) if data=="":break stream.write(data) stream.close() p.terminate() return 1 # 读取文件 def get_file_content(filePath): with open(filePath, 'rb') as fp: return fp.read() # 识别本地文件 def sb(): sb=aipSpeech.asr(get_file_content('in.wav'), 'wav', 8000, { 'lan': 'zh',}) err_no=sb['err_no'] if(err_no!=0): return "" result=sb['result'][0] print("我："+result) return result def get_hecheng(para): result = aipSpeech.synthesis(para, 'zh', 1, {'vol': 5,'per':4,}) # 识别正确返回语音二进制 错误则返回dict 参照下面错误码 if not isinstance(result, dict): with open('auido.mp3', 'wb') as f: f.write(result) else: print(result['err_no']) def getHtml(url): page = urllib.request.urlopen(url) html = page.read() return html def mp3_wav(): sound = AudioSegment.from_mp3('auido.mp3') sound.export("auido.wav", format="wav") #os.remove("auido.mp3") def play(): mp3_wav() file ='auido.wav' winsound.PlaySound( file, winsound.SND_FILENAME|winsound.SND_NOWAIT, ) def shibie(): #引用图灵机器人，输入图灵key 以及 key='' api="http://www.tuling123.com/openapi/api?userid=331232482&key=" + key+"&loc="+urllib.request.quote("河北省石家庄市河北师范大学") + '&info=' while(1): my_record() print('Over!') s=sb(); if("退出"in s): get_hecheng("主人再见！"); print('机器人: ' + "再见！"); play(); sys.exit(); if(s!=""): request=api+urllib.request.quote(s) response = getHtml(request) dic_json = json.loads(response) print('机器人: ' + dic_json['text']) get_hecheng(dic_json['text']) if 'list' in dic_json.keys(): print(dic_json['list']) if 'url' in dic_json.keys(): print(dic_json['url']) play(); output = open('luyin.txt', 'a') output.write("我:"+s+'\n'+"小鱼："+dic_json['text']+'\n') output.close() if __name__ == '__main__': print("欢迎使用语音交互系统：") shibie()