Hui Zhang
5 years ago
parent
ac6a4da2e0
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4b6d4a1c06
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# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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import random
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import time
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from time import gmtime, strftime
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import socketserver
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import struct
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import wave
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from deepspeech.frontend.utility import read_manifest
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__all__ = ["socket_send", "warm_up_test", "AsrTCPServer", "AsrRequestHandler"]
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def socket_send(server_ip: str, server_port: str, data: bytes):
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# Connect to server and send data
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sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
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sock.connect((server_ip, server_port))
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sent = data
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sock.sendall(struct.pack('>i', len(sent)) + sent)
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print('Speech[length=%d] Sent.' % len(sent))
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# Receive data from the server and shut down
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received = sock.recv(1024)
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print("Recognition Results: {}".format(received.decode('utf8')))
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sock.close()
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def warm_up_test(audio_process_handler,
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manifest_path,
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num_test_cases,
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random_seed=0):
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"""Warming-up test."""
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manifest = read_manifest(manifest_path)
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rng = random.Random(random_seed)
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samples = rng.sample(manifest, num_test_cases)
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for idx, sample in enumerate(samples):
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print("Warm-up Test Case %d: %s", idx, sample['audio_filepath'])
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start_time = time.time()
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transcript = audio_process_handler(sample['audio_filepath'])
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finish_time = time.time()
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print("Response Time: %f, Transcript: %s" %
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(finish_time - start_time, transcript))
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class AsrTCPServer(socketserver.TCPServer):
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"""The ASR TCP Server."""
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def __init__(self,
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server_address,
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RequestHandlerClass,
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speech_save_dir,
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audio_process_handler,
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bind_and_activate=True):
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self.speech_save_dir = speech_save_dir
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self.audio_process_handler = audio_process_handler
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socketserver.TCPServer.__init__(
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self, server_address, RequestHandlerClass, bind_and_activate=True)
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class AsrRequestHandler(socketserver.BaseRequestHandler):
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"""The ASR request handler."""
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def handle(self):
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# receive data through TCP socket
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chunk = self.request.recv(1024)
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target_len = struct.unpack('>i', chunk[:4])[0]
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data = chunk[4:]
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while len(data) < target_len:
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chunk = self.request.recv(1024)
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data += chunk
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# write to file
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filename = self._write_to_file(data)
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print("Received utterance[length=%d] from %s, saved to %s." %
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(len(data), self.client_address[0], filename))
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start_time = time.time()
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transcript = self.server.audio_process_handler(filename)
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finish_time = time.time()
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print("Response Time: %f, Transcript: %s" %
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(finish_time - start_time, transcript))
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self.request.sendall(transcript.encode('utf-8'))
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def _write_to_file(self, data):
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# prepare save dir and filename
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if not os.path.exists(self.server.speech_save_dir):
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os.mkdir(self.server.speech_save_dir)
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timestamp = strftime("%Y%m%d%H%M%S", gmtime())
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out_filename = os.path.join(
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self.server.speech_save_dir,
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timestamp + "_" + self.client_address[0] + ".wav")
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# write to wav file
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file = wave.open(out_filename, 'wb')
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file.setnchannels(1)
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file.setsampwidth(2)
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file.setframerate(16000)
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file.writeframes(data)
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file.close()
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return out_filename
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@ -0,0 +1,20 @@
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#! /usr/bin/env bash
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if [ $# != 2 ];then
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echo "usage: export ckpt_path jit_model_path"
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exit -1
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fi
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python3 -u ${BIN_DIR}/export.py \
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--config conf/deepspeech2.yaml \
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--checkpoint_path ${1} \
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--export_path ${2}
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if [ $? -ne 0 ]; then
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echo "Failed in evaluation!"
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exit 1
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fi
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exit 0
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