From 5eb15b0c3a03872d807010af51296b0db0fe612d Mon Sep 17 00:00:00 2001
From: ailemon <3210346136@qq.com>
Date: Mon, 28 Mar 2022 20:33:09 +0800
Subject: [PATCH] =?UTF-8?q?=E7=A7=BB=E9=99=A4=E6=97=A7=E7=89=88API?=
=?UTF-8?q?=E6=8E=A5=E5=8F=A3?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit
---
asrserver.py | 157 ---------------------------------------------------
client.py | 40 -------------
2 files changed, 197 deletions(-)
delete mode 100644 asrserver.py
delete mode 100644 client.py
diff --git a/asrserver.py b/asrserver.py
deleted file mode 100644
index f3f8489..0000000
--- a/asrserver.py
+++ /dev/null
@@ -1,157 +0,0 @@
-#!/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
-ASRT语音识别API的HTTP服务器程序
-"""
-
-import http.server
-import socket
-from speech_model import ModelSpeech
-from speech_model_zoo import SpeechModel251BN
-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
-sm251bn = SpeechModel251BN(
- input_shape=(AUDIO_LENGTH, AUDIO_FEATURE_LENGTH, CHANNELS),
- output_size=OUTPUT_SIZE
- )
-feat = Spectrogram()
-ms = ModelSpeech(sm251bn, feat, max_label_length=64)
-ms.load_model('save_models/' + sm251bn.get_model_name() + '.model.h5')
-
-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 key == 'wavs' and value != '':
- wavs.append(int(value))
- elif key == 'fs':
- fs = int(value)
- elif key == 'token':
- token = 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.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
-
- 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
diff --git a/client.py b/client.py
deleted file mode 100644
index d7be0f8..0000000
--- a/client.py
+++ /dev/null
@@ -1,40 +0,0 @@
-#!/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
-ASRT语音识别asrserver测试专用客户端
-'''
-import time
-import requests
-from utils.ops import read_wav_data
-
-URL = 'http://127.0.0.1:20000/'
-TOKEN = 'qwertasd'
-wavsignal, fs, _, _ = read_wav_data('X:\\语音数据集\\data_thchs30\\train\\A11_0.wav')
-datas={'token':TOKEN, 'fs':fs, 'wavs':wavsignal}
-
-t0=time.time()
-r = requests.post(URL, datas)
-t1=time.time()
-r.encoding='utf-8'
-
-print(r.text)
-print('time:', t1-t0, 's')