#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright 2016-2099 Ailemon.net # # This file is part of ASRT Speech Recognition Tool. # # ASRT is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # ASRT is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with ASRT. If not, see . # ============================================================================ """ @author: nl8590687 语音识别API的HTTP服务器程序 """ import http.server import urllib import socket import keras from SpeechModel251 import ModelSpeech from LanguageModel import ModelLanguage datapath = './' modelpath = 'model_speech/' ms = ModelSpeech(datapath) ms.LoadModel(modelpath + 'm251/speech_model251_e_0_step_12000.model') ml = ModelLanguage('model_language') ml.LoadModel() class ASRTHTTPHandle(http.server.BaseHTTPRequestHandler): def setup(self): self.request.settimeout(10) http.server.BaseHTTPRequestHandler.setup(self) def _set_response(self): self.send_response(200) self.send_header('Content-type', 'text/html') self.end_headers() def do_GET(self): buf = 'ASRT_SpeechRecognition API' self.protocal_version = 'HTTP/1.1' self._set_response() buf = bytes(buf,encoding="utf-8") self.wfile.write(buf) def do_POST(self): ''' 处理通过POST方式传递过来并接收的语音数据 通过语音模型和语言模型计算得到语音识别结果并返回 ''' path = self.path print(path) #获取post提交的数据 datas = self.rfile.read(int(self.headers['content-length'])) #datas = urllib.unquote(datas).decode("utf-8", 'ignore') datas = datas.decode('utf-8') datas_split = datas.split('&') token = '' fs = 0 wavs = [] for line in datas_split: [key, value]=line.split('=') if('wavs' == key and '' != value): wavs.append(int(value)) elif('fs' == key): fs = int(value) elif('token' == key ): token = value #elif('type' == key): # type = value else: print(key, value) if(token != 'qwertasd'): buf = '403' print(buf) buf = bytes(buf,encoding="utf-8") self.wfile.write(buf) return if(len(wavs)>0): r = self.recognize([wavs], fs) else: r = '' if(token == 'qwertasd'): buf = r else: buf = '403' self._set_response() print(buf) buf = bytes(buf,encoding="utf-8") self.wfile.write(buf) def recognize(self, wavs, fs): r='' try: r_speech = ms.RecognizeSpeech(wavs, fs) print(r_speech) str_pinyin = r_speech r = ml.SpeechToText(str_pinyin) except Exception as ex: r='' print('[*Message] Server raise a bug. ', ex) return r pass def recognize_from_file(self, filename): pass class HTTPServerV6(http.server.HTTPServer): address_family = socket.AF_INET6 def start_server(ip, port): if(':' in ip): http_server = HTTPServerV6((ip, port), ASRTHTTPHandle) else: http_server = http.server.HTTPServer((ip, int(port)), ASRTHTTPHandle) print('服务器已开启') try: http_server.serve_forever() #设置一直监听并接收请求 except KeyboardInterrupt: pass http_server.server_close() print('HTTP server closed') if __name__ == '__main__': start_server('', 20000) # For IPv4 Network Only #start_server('::', 20000) # For IPv6 Network