如何用python调用百度语音识别

Python015

如何用python调用百度语音识别,第1张

#!/usr/bin/env python

# -*- coding: utf-8 -*-

########################################################################

#

# Copyright (c) 2017 aibot.me, Inc. All Rights Reserved

#

########################################################################

"""

File: util_voice.py

Author: darrenwang([email protected])

Date: 2017/03/24 11:29:50

Brief:

"""

import sys

import json

import time

import base64

import urllib

import urllib2

import requests

class BaiduRest:

def __init__(self, cu_id, api_key, api_secert):

self.token_url = "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s"

self.getvoice_url = "http://tsn.baidu.com/text2audio?tex=%s&lan=zh&cuid=%s&ctp=1&tok=%s"

self.upvoice_url = 'http://vop.baidu.com/server_api'

self.cu_id = cu_id

self.get_token(api_key, api_secert)

return

def get_token(self, api_key, api_secert):

token_url = self.token_url % (api_key,api_secert)

r_str = urllib2.urlopen(token_url).read()

token_data = json.loads(r_str)

self.token_str = token_data['access_token']

return True

#语音合成

def text2audio(self, text, filename):

get_url = self.getvoice_url % (urllib2.quote(text), self.cu_id, self.token_str)

voice_data = urllib2.urlopen(get_url).read()

voice_fp = open(filename,'wb+')

voice_fp.write(voice_data)

voice_fp.close()

return True

##语音识别

def audio2text(self, filename):

data = {}

data['format'] = 'wav'

data['rate'] = 8000

data['channel'] = 1

data['cuid'] = self.cu_id

data['token'] = self.token_str

wav_fp = open(filename,'rb')

voice_data = wav_fp.read()

data['len'] = len(voice_data)

#data['speech'] = base64.b64encode(voice_data).decode('utf-8')

data['speech'] = base64.b64encode(voice_data).replace('\n', '')

#post_data = json.dumps(data)

result = requests.post(self.upvoice_url, json=data, headers={'Content-Type': 'application/json'})

data_result = result.json()

print data_result

return data_result['result'][0]

def test_voice():

api_key = "SrhYKqzl3SE1URnAEuZ0FKdT"

api_secert = "hGqeCkaMPb0ELMqtRGc2VjWdmjo7T89d"

bdr = BaiduRest("test_python", api_key, api_secert)

#生成

start = time.time()

bdr.text2audio("你好啊", "out.wav")

using = time.time() - start

print using

#识别

start = time.time()

#result = bdr.audio2text("test.wav")

#result = bdr.audio2text("weather.pcm")

using = time.time() - start

print using, result

return True

if __name__ == "__main__":

test_voice()

Python中实现离线音乐识别方法：1.先安装PyAudio python -m pip install PyAudio-0.2.11-cp37-cp37m-win_amd64.whl2.安装语音识别 pip install SpeechRecognition3.安装离线语音识别 python -m pip install pocketsphinx-0.1.15-cp37-cp37m-win_amd64.whl4.无普通话库 下载地址https://sourceforge.net/projects/cmusphinx/files/Acoustic%20and%20Language%20Models/选 Mandarin文件夹 Mandarin->cmusphinx-zh-cn-5.2.tar.gz。

这需要用到python中拼音库的用法。

Python中提供了汉字转拼音的库，名字叫做PyPinyin，可以用于汉字注音，排序，检索等等场合，是基于hotto或pinyin这个库开发的。

它有这么几个特性。1.根据词组智能匹配最正确的拼音2.支持多音字，3.简单的繁体支持，注音支持，4.支持多种不同拼音或注音风格。