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）本文主要介绍了Python语言实现百度语音识别API的使用实例，具有一定借鉴价值，需要的朋友可以参考下，希望能帮助到大家。

一开始考虑到pythonwave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base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 base 
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"}