ASRT_SpeechRecognition/asrserver.py

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#!/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 <https://www.gnu.org/licenses/>.
# ============================================================================
"""
@author: nl8590687
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ASRT语音识别API的HTTP服务器程序
"""
import http.server
import urllib
import socket
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from speech_model import ModelSpeech
from speech_model_zoo import SpeechModel251
from speech_features import Spectrogram
from LanguageModel2 import ModelLanguage
audio_length = 1600
audio_feature_length = 200
channels = 1
# 默认输出的拼音的表示大小是1428即1427个拼音+1个空白块
output_size = 1428
sm251 = SpeechModel251(
input_shape=(audio_length, audio_feature_length, channels),
output_size=output_size
)
feat = Spectrogram()
ms = ModelSpeech(sm251, feat, max_label_length=64)
ms.load_model('save_models/' + sm251.get_model_name() + '.h5')
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ml = ModelLanguage('model_language')
ml.LoadModel()
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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:
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r_speech = ms.recognize_speech(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
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class HTTPServerV6(http.server.HTTPServer):
address_family = socket.AF_INET6
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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