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 = "/oauth/2.0/token?grant_type=client_credentials&client_id=%s&client_secret=%s"
# 语音合成的resturl
self.getvoice_url = "/text2audio?tex=%s&lan=zh&cuid=%s&ctp=1&tok=%s"
# 语音识别的resturl
self.upvoice_url = '/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"))