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egs/chime5/s5b/local/extract_noises.py 2.77 KB
8dcb6dfcb   Yannick Estève   first commit
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  #!/usr/bin/env python3
  
  import argparse
  import json
  import logging
  import os
  import sys
  import scipy.io.wavfile as siw
  import math
  import numpy as np
  
  
  def get_args():
      parser = argparse.ArgumentParser(
          """Extract noises from the corpus based on the non-speech regions.
          e.g. {} /export/corpora4/CHiME5/audio/train/ \\
                  /export/corpora4/CHiME5/transcriptions/train/ \\
                  /export/b05/zhiqiw/noise/""".format(sys.argv[0]))
  
      parser.add_argument("--segment-length", default=20)
      parser.add_argument("audio_dir", help="""Location of the CHiME5 Audio files. e.g. /export/corpora4/CHiME5/audio/train/""")
      parser.add_argument("trans_dir", help="""Location of the CHiME5 Transcriptions. e.g. /export/corpora4/CHiME5/transcriptions/train/""")
      parser.add_argument("audio_list", help="""List of ids of the CHiME5 recordings from which noise is extracted. e.g. local/distant_audio_list""")
      parser.add_argument("out_dir", help="Output directory to write noise files. e.g. /export/b05/zhiqiw/noise/")
  
      args = parser.parse_args()
      return args
  
  
  def Trans_time(time, fs):
      units = time.split(':')
      time_second = float(units[0]) * 3600 + float(units[1]) * 60 + float(units[2])
      return int(time_second*fs)
  
  
  def Get_time(conf, tag, mic, fs):
      for i in conf:
          st = Trans_time(i['start_time'][mic], fs)
          ed = Trans_time(i['end_time'][mic], fs)
          tag[st:ed] = 0
      return tag
  
  
  def write_noise(out_dir, seg, audio, sig, tag, fs, cnt):
      sig_noise = sig[np.nonzero(tag)]
      for i in range(math.floor(len(sig_noise)/(seg*fs))):
          siw.write(out_dir +'/noise'+str(cnt)+'.wav', fs, sig_noise[i*seg*fs:(i+1)*seg*fs])
          cnt += 1
      return cnt
  
  
  def main():
      args = get_args()
  
      if not os.path.exists(args.out_dir):
          os.makedirs(args.out_dir)
  
      wav_list = open(args.audio_list).readlines()
  
      cnt = 1
      for i, audio in enumerate(wav_list):
          parts = audio.strip().split('.')
          if len(parts) == 2:
              # Assuming distant mic with name like S03_U01.CH1
              session, mic = parts[0].split('_')
              channel = parts[1]
              base_name = session + "_" + mic + "." + channel
          else:
              # Assuming close talk mic with name like S03_P09
              session, mic = audio.strip().split('_')
              base_name = session + "_" + mic
          fs, sig = siw.read(args.audio_dir + "/" + base_name + '.wav')
          tag = np.ones(len(sig))
          if i == 0 or session != session_p:
              with open(args.trans_dir + "/" + session + '.json') as f:
                  conf = json.load(f)
          tag = Get_time(conf, tag, mic, fs)
          cnt = write_noise(args.out_dir, args.segment_length, audio, sig, tag, fs, cnt)
          session_p = session
  
  
  if __name__ == '__main__':
      main()