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百度语音识别API的使用样例(python实现)

时间:2015-05-18 14:45:28      阅读:900      评论:0      收藏:0      [点我收藏+]

标签:python   语音识别   curl   

百度给的样例程序,不论C还是Java版,都分为method1和method2两种

前者称为隐式(post的是json串,音频数据编码到json里),后者称为显式(post的就是音频数据)


一开始考虑到python wave包处理的都是“字符串”,担心跟C语言的数组不一致,所以选择低效但保险的method1,

即先将音频数据base64编码,再加上采样率、通道数等信息汇集成dict,最后总体编码成json串

结果老是报:

3300 输入参数不正确

先后试过urllib2和pycurl包,都是上面情况

不得已换用method2,成功(看来wave包对音频的存储并不是“字符串”)

#encoding=utf-8

import wave
import urllib, urllib2, pycurl
import base64
import json
## get access token by api key & secret key

def 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 server
def 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 val

if __name__ == "__main__":
    token = get_token()
    use_cloud(token)

运行结果

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


百度语音识别API的使用样例(python实现)

标签:python   语音识别   curl   

原文地址:http://blog.csdn.net/happen23/article/details/45821697

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