移除旧版API接口
This commit is contained in:
parent
087f51f8b4
commit
5eb15b0c3a
157
asrserver.py
157
asrserver.py
|
@ -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 <https://www.gnu.org/licenses/>.
|
||||
# ============================================================================
|
||||
|
||||
"""
|
||||
@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
|
40
client.py
40
client.py
|
@ -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 <https://www.gnu.org/licenses/>.
|
||||
# ============================================================================
|
||||
|
||||
'''
|
||||
@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')
|
Loading…
Reference in New Issue