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PaddleSpeech/deepspeech/utils/socket_server.py

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4.0 KiB

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