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"))