基于python实现百度语音识别和图灵对话

图例如下

https://github.com/Dongvdong/python_Smartvoice

代码如下

# -*- coding: utf-8 -*-# 树莓派from pyaudio import PyAudio, paInt16import numpy as npfrom datetime import datetimeimport waveimport timeimport requests#导入requests库import urllib, urllib.request, pycurlimport base64import jsonimport osimport sysfrom imp import reload # 调用电脑API生成语音交互import speechimport win32apiimport osimport sysimport timeimport win32con reload(sys) #sys.setdefaultencoding( 'utf-8' )#一些全局变量save_count = 0save_buffer = []t = 0sum = 0time_flag = 0flag_num = 0filename = ’’duihua = ’1’def getHtml(url): html= requests.get(url) # html.encoding = ’utf-8’#防止中文乱码 return html.textdef get_token(): apiKey = 'AxXDYEN27Ks9XHocsGmCEdPm' secretKey = '61cd52759f4d704d91c155a22ff7183d' auth_url = 'https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=' + apiKey + '&client_secret=' + secretKey; res = requests.get(auth_url) #res.encoding = ’utf-8’#防止中文乱码 #print (res.text) return json.loads(res.text)[’access_token’]def dump_res(buf):#输出百度语音识别的结果 global duihua #print ('字符串类型') #print (buf) a = eval(buf) #print (type(a)) if a[’err_msg’]==’success.’: #print (a[’result’][0]）#终于搞定了，在这里可以输出，返回的语句 duihua = a[’result’][0] print ('我：'+duihua)def use_cloud(token):#进行合成 fp = wave.open(filename, ’rb’) nf = fp.getnframes() f_len = nf * 2 audio_data = fp.readframes(nf) cuid = '9120612' #产品id srv_url = ’http://vop.baidu.com/server_api’ + ’?cuid=’ + cuid + ’&token=’ + token http_header = [ ’Content-Type: audio/pcm; rate=8000’, ’Content-Length: %d’ % f_len ] c = pycurl.Curl() c.setopt(pycurl.URL, str(srv_url)) #curl doesn’t support unicode #c.setopt(c.RETURNTRANSFER, 1) c.setopt(c.HTTPHEADER, http_header) #must be list, not dict c.setopt(c.POST, 1) c.setopt(c.CONNECTTIMEOUT, 30) c.setopt(c.TIMEOUT, 30) c.setopt(c.WRITEFUNCTION, dump_res) c.setopt(c.POSTFIELDS, audio_data) c.setopt(c.POSTFIELDSIZE, f_len) c.perform() #pycurl.perform() has no return val# 将data中的数据保存到名为filename的WAV文件中def save_wave_file(filename, data): wf = wave.open(filename, ’wb’) wf.setnchannels(1) wf.setsampwidth(2) wf.setframerate(SAMPLING_RATE) wf.writeframes(b''.join(data)) wf.close()NUM_SAMPLES = 2000 # pyAudio内部缓存的块的大小SAMPLING_RATE = 8000 # 取样频率LEVEL = 1500 # 声音保存的阈值COUNT_NUM = 20 # NUM_SAMPLES个取样之内出现COUNT_NUM个大于LEVEL的取样则记录声音SAVE_LENGTH = 8 # 声音记录的最小长度：SAVE_LENGTH * NUM_SAMPLES 个取样exception_on_overflow=False# 开启声音输入ｐｙａｕｄｉｏ对象pa = PyAudio()stream = pa.open(format=paInt16, channels=1, rate=SAMPLING_RATE, input=True,frames_per_buffer=NUM_SAMPLES)token = get_token()#获取ｔｏｋｅｎkey = ’35ff2856b55e4a7f9eeb86e3437e23fe’api = ’http://www.tuling123.com/openapi/api?key=’ + key + ’&info=’while(True): # 读入NUM_SAMPLES个取样 string_audio_data = stream.read(NUM_SAMPLES,False); # 将读入的数据转换为数组 audio_data = np.fromstring(string_audio_data, dtype=np.short) # 计算大于LEVEL的取样的个数 large_sample_count = np.sum( audio_data > LEVEL ) temp = np.max(audio_data) if temp > 2000 and t == 0: t = 1#开启录音 print ('---------主人我在听你说！（5S）----------') begin = time.time() # print (temp) if t: #print (np.max(audio_data)) if np.max(audio_data)<1000: sum += 1 # print (sum) end = time.time() if end-begin>5: time_flag = 1 # print ('五秒到了，准备结束') # 如果个数大于COUNT_NUM，则至少保存SAVE_LENGTH个块 if large_sample_count > COUNT_NUM: save_count = SAVE_LENGTH else: save_count -= 1 if save_count < 0: save_count = 0 if save_count > 0: # 将要保存的数据存放到save_buffer中 save_buffer.append(string_audio_data ) else: # 将save_buffer中的数据写入WAV文件，WAV文件的文件名是保存的时刻 #if time_flag: if len(save_buffer) > 0 or time_flag:#filename = datetime.now().strftime('%Y-%m-%d_%H_%M_%S') + '.wav'#原本是用时间做名字filename = str(flag_num)+'.wav'flag_num += 1save_wave_file(filename, save_buffer)save_buffer = []t = 0sum =0time_flag = 0 # print (filename, '保存成功正在进行语音识别')use_cloud(token) # print (duihua)info = duihuaduihua = ''request = api + str(info)response = getHtml(request) # print ( '-----1-----')dic_json = json.loads(response) a = dic_json[’text’] unicodestring = a# 将Unicode转化为普通Python字符串：'encode'utf8string = unicodestring.encode('utf-8') print ('科塔娜：'+str(a)) # 电脑说话speech.say(str(a)) url = 'http://tsn.baidu.com/text2audio?tex='+dic_json[’text’]+'&lan=zh&per=0&pit=1&spd=7&cuid=7519663&ctp=1&tok=25.41bf315625c68b3e947c49b90788532d.315360000.1798261651.282335-9120612'os.system(’mpg123 '%s'’%(url))

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