python 语音合成

 

0树莓派

Python 使用 mpg123 播放声音

安装 mpg123

执行命令：sudo apt-get install mpg123

播放声音

import os

os.system('mpg123 test.mp3')

　　

备注 2：树莓派设置音频输出

1. 执行命令：sudo raspi-config

2. 选中 Advanced Options

   

3. 选中 Audio

   

4. 选中对应的输出方式

   

 

#from func import speak
# -*- coding: utf-8 -*-
#如果系统默认pytho路径不是 python3  我认为修改成3了
#import sys
#sys.path.append("/home/pi/.local/lib/python2.7/site-packages")

import click
import os
from urllib.parse import quote
import urllib.request

def speak(text):
   
    #文字编码后结果
    text_encoded = quote(text.encode('utf8'))
    #获取密钥 这个网站自己获取了密钥 如果是自己的帐号需要自己替换
    url = "https://ilangbd.azurewebsites.net/token.txt"
    get_token=urllib.request.urlopen(url).read()
    token = str(get_token)   
    token=token.split('\'' )[1]
    #token='24.cec28b1805703b84010325a0d08fdb25.2592000.1587258841.282335-10778068'
    print(token)
    voice_url = "http://tsn.baidu.com/text2audio?tex=" + text_encoded + "&lan=zh&per=0&cuid=784f436aa242&ctp=1&tok=" + str(token)
    print("Now read: ")
    print(text)
    os.system('mpg123 -q "%s"'% voice_url)


if __name__ == '__main__':
    #当作方法直接调用  语音播报
    speak('车牌识别成功！号码是京G6386. ')

　　

 

1文字生成语音

#!/usr/bin/python3

import urllib.request
import requests#导入requests库
import urllib
import json
import base64
class BaiduRest:
    def __init__(self, cu_id, api_key, api_secert):
        # token认证的url
        self.token_url = "https://openapi.baidu.com/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s"
        # 语音合成的resturl
        self.getvoice_url = "http://tsn.baidu.com/text2audio?tex=%s&lan=zh&cuid=%s&ctp=1&tok=%s"
        # 语音识别的resturl
        self.upvoice_url = 'http://vop.baidu.com/server_api'

        self.cu_id = cu_id
        self.getToken(api_key, api_secert)
        return

    def getToken(self, api_key, api_secert):
        # 1.获取token
        token_url = self.token_url % (api_key,api_secert)

        r_str = requests.get(token_url).text
        token_data = json.loads(r_str)
        self.token_str = token_data['access_token']
        pass

    def getVoice(self, text, filename):
        # 2. 向Rest接口提交数据
        get_url = self.getvoice_url % (urllib.parse.quote(text), self.cu_id, self.token_str)

        voice_data = urllib.request.urlopen(get_url).read()
        # 3.处理返回数据
        voice_fp = open(filename,'wb+')
        voice_fp.write(voice_data)
        voice_fp.close()
        pass

    def getText(self, filename):
        # 2. 向Rest接口提交数据
        data = {}
        # 语音的一些参数
        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')
        
        post_data = json.dumps(data)
        
       # data=bytes(post_data,encoding="utf-8")
        
        url=self.upvoice_url+post_data
        r_data = requests.get(url).text
        # 3.处理返回数据
        return json.loads(r_data)['result']

if __name__ == "__main__":
    # 我的api_key,供大家测试用，在实际工程中请换成自己申请的应用的key和secert
    api_key = "SrhYKqzl3SE1URnAEuZ0FKdT" 
    api_secert = "hGqeCkaMPb0ELMqtRGc2VjWdmjo7T89d"
    # 初始化
    bdr = BaiduRest("test_python", api_key, api_secert)
    # 将字符串语音合成并保存为out.mp3
    bdr.getVoice("你好北京邮电大学!我是瑶瑶", "out.mp3")
    # 识别test.wav语音内容并显示
    print(bdr.getText("1.wav"))