158 lines
4.4 KiB
Python
158 lines
4.4 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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#
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# Copyright 2016-2099 Ailemon.net
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#
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# This file is part of ASRT Speech Recognition Tool.
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#
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# ASRT is free software: you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation, either version 3 of the License, or
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# (at your option) any later version.
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# ASRT is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with ASRT. If not, see <https://www.gnu.org/licenses/>.
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# ============================================================================
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"""
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@author: nl8590687
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ASRT语音识别API的HTTP服务器程序
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"""
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import http.server
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import socket
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from speech_model import ModelSpeech
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from speech_model_zoo import SpeechModel251
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from speech_features import Spectrogram
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from LanguageModel2 import ModelLanguage
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AUDIO_LENGTH = 1600
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AUDIO_FEATURE_LENGTH = 200
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CHANNELS = 1
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# 默认输出的拼音的表示大小是1428，即1427个拼音+1个空白块
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OUTPUT_SIZE = 1428
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sm251 = SpeechModel251(
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input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
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output_size=OUTPUT_SIZE
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)
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feat = Spectrogram()
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ms = ModelSpeech(sm251, feat, max_label_length=64)
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ms.load_model('save_models/' + sm251.get_model_name() + '.model.h5')
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ml = ModelLanguage('model_language')
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ml.LoadModel()
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class ASRTHTTPHandle(http.server.BaseHTTPRequestHandler):
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def setup(self):
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self.request.settimeout(10)
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http.server.BaseHTTPRequestHandler.setup(self)
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def _set_response(self):
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self.send_response(200)
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self.send_header('Content-type', 'text/html')
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self.end_headers()
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def do_GET(self):
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buf = 'ASRT_SpeechRecognition API'
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self.protocal_version = 'HTTP/1.1'
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self._set_response()
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buf = bytes(buf,encoding="utf-8")
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self.wfile.write(buf)
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def do_POST(self):
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'''
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处理通过POST方式传递过来并接收的语音数据
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通过语音模型和语言模型计算得到语音识别结果并返回
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'''
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path = self.path
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print(path)
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#获取post提交的数据
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datas = self.rfile.read(int(self.headers['content-length']))
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#datas = urllib.unquote(datas).decode("utf-8", 'ignore')
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datas = datas.decode('utf-8')
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datas_split = datas.split('&')
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token = ''
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fs = 0
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wavs = []
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for line in datas_split:
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[key, value]=line.split('=')
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if key == 'wavs' and value != '':
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wavs.append(int(value))
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elif key == 'fs':
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fs = int(value)
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elif key == 'token':
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token = value
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else:
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print(key, value)
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if token != 'qwertasd':
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buf = '403'
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print(buf)
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buf = bytes(buf,encoding="utf-8")
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self.wfile.write(buf)
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return
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if len(wavs)>0:
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r = self.recognize([wavs], fs)
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else:
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r = ''
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if token == 'qwertasd':
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buf = r
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else:
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buf = '403'
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self._set_response()
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print(buf)
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buf = bytes(buf,encoding="utf-8")
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self.wfile.write(buf)
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def recognize(self, wavs, fs):
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r=''
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try:
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r_speech = ms.recognize_speech(wavs, fs)
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print(r_speech)
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str_pinyin = r_speech
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r = ml.SpeechToText(str_pinyin)
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except Exception as ex:
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r=''
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print('[*Message] Server raise a bug. ', ex)
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return r
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def recognize_from_file(self, filename):
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pass
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class HTTPServerV6(http.server.HTTPServer):
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address_family = socket.AF_INET6
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def start_server(ip, port):
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if ':' in ip:
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http_server = HTTPServerV6((ip, port), ASRTHTTPHandle)
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else:
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http_server = http.server.HTTPServer((ip, int(port)), ASRTHTTPHandle)
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print('服务器已开启')
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try:
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http_server.serve_forever() #设置一直监听并接收请求
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except KeyboardInterrupt:
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pass
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http_server.server_close()
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print('HTTP server closed')
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if __name__ == '__main__':
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start_server('', 20000) # For IPv4 Network Only
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#start_server('::', 20000) # For IPv6 Network
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