Fetch the repository succeeded.
This action will force synchronization from AI柠檬/ASRT_SpeechRecognition, which will overwrite any changes that you have made since you forked the repository, and can not be recovered!!!
Synchronous operation will process in the background and will refresh the page when finishing processing. Please be patient.
#!/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
一个配置为可用于ASRT语音识别系统的录音程序
"""
import wave
import pyaudio
def record_wave(wavfile,
duration=10,
channels=1,
sampling_rate=16000,
sampling_bits=16,
chunk_size=1024,
keyboard_interrupt='keep_audio'):
"""Record audio using the default audio device by PyAudio and Wave"""
format_ = None
if sampling_bits == 8:
format_ = pyaudio.paInt8
if sampling_bits == 16:
format_ = pyaudio.paInt16
elif sampling_bits == 24:
format_ = pyaudio.paInt24
elif sampling_bits == 32:
format_ = pyaudio.paFloat32
else:
raise ValueError('Unsupported sampling bits')
audio = pyaudio.PyAudio()
stream = audio.open(format=format_,
channels=channels,
rate=sampling_rate,
input=True,
frames_per_buffer=chunk_size)
frames = []
print('Start to record with {}-seconds audio\n'
'Type Ctrl-C to get an early stop (a shorter audio)'
.format(duration))
try:
for _ in range(0, int(sampling_rate / chunk_size * duration)):
data = stream.read(chunk_size)
frames.append(data)
print('.', end='', flush=True)
except KeyboardInterrupt:
if keyboard_interrupt == 'keep_audio':
used_seconds = int(len(frames) * chunk_size / sampling_rate)
print('\n-*- Early stop with {} seconds'.format(used_seconds))
else:
raise
print('\nRecording finished')
stream.stop_stream()
stream.close()
audio.terminate()
print('Convert PCM frames to WAV... ', end='')
wavfp = wave.open(wavfile, 'wb')
wavfp.setnchannels(channels)
wavfp.setsampwidth(audio.get_sample_size(format_))
wavfp.setframerate(sampling_rate)
wavfp.writeframes(b''.join(frames))
wavfp.close()
print('OK')
if __name__ == "__main__":
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
parser = ArgumentParser(description='Simple Wave Audio Recorder',
formatter_class=ArgumentDefaultsHelpFormatter)
parser.add_argument('-d', '--duration', type=int,
default=10, help='maximum duration in seconds')
parser.add_argument('-r', '--sampling-rate', type=int,
default=16000, help='sampling rate')
parser.add_argument('-b', '--sampling-bits', type=int,
default=16, choices=(8, 16, 24, 32), help='sampling bits')
parser.add_argument('-c', '--channels', type=int,
default=1, help='audio channels')
parser.add_argument('output', nargs='?', default='output.wav',
help='audio file to store audio stream')
args = parser.parse_args()
record_wave(args.output, duration=args.duration,
channels=args.channels,
sampling_bits=args.sampling_bits,
sampling_rate=args.sampling_rate)
此处可能存在不合适展示的内容,页面不予展示。您可通过相关编辑功能自查并修改。
如您确认内容无涉及 不当用语 / 纯广告导流 / 暴力 / 低俗色情 / 侵权 / 盗版 / 虚假 / 无价值内容或违法国家有关法律法规的内容,可点击提交进行申诉,我们将尽快为您处理。