百度語音辨識API的使用範例（python實現）

標籤：python   語音辨識   curl   

百度給的範例程式，不論C還是Java版，都分為method1和method2兩種

前者稱為隱式（post的是json串，音頻資料編碼到json裡），後者稱為顯式（post的就是音頻資料）

一開始考慮到python wave包處理的都是“字串”，擔心跟C語言的數組不一致，所以選擇低效但保險的method1，

即先將音頻資料base64編碼，再加上採樣率、通道數等資訊彙集成dict，最後總體編碼成json串

結果老是報：

3300 輸入參數不正確

先後試過urllib2和pycurl包，都是上面情況

不得已換用method2，成功（看來wave包對音訊儲存並不是“字串”）

#encoding=utf-8import waveimport urllib, urllib2, pycurlimport base64import json## get access token by api key & secret keydef get_token():    apiKey = "xxxxxxxx"    secretKey = "xxxxxxxxx"    auth_url = "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=" + apiKey + "&client_secret=" + secretKey;    res = urllib2.urlopen(auth_url)    json_data = res.read()    return json.loads(json_data)['access_token']def dump_res(buf):    print buf## post audio to serverdef use_cloud(token):    fp = wave.open('vad_0.wav', 'rb')    nf = fp.getnframes()    f_len = nf * 2    audio_data = fp.readframes(nf)    cuid = "xxxxxxxxxx" #my xiaomi phone MAC    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 valif __name__ == "__main__":    token = get_token()    use_cloud(token)

運行結果

{"corpus_no":"6150045491002357923","err_msg":"success.","err_no":0,"result":["播放小蘋果，"],"sn":"243903724071431919050"}

百度語音辨識API的使用範例（python實現）