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150 lines
4.8 KiB
150 lines
4.8 KiB
#!/usr/bin/env python3
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import argparse
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import logging
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from distutils.util import strtobool
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import kaldiio
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import numpy
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from paddlespeech.s2t.transform.cmvn import CMVN
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from paddlespeech.s2t.utils.cli_readers import file_reader_helper
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from paddlespeech.s2t.utils.cli_utils import get_commandline_args
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from paddlespeech.s2t.utils.cli_utils import is_scipy_wav_style
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from paddlespeech.s2t.utils.cli_writers import file_writer_helper
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def get_parser():
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parser = argparse.ArgumentParser(
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description="apply mean-variance normalization to files",
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formatter_class=argparse.ArgumentDefaultsHelpFormatter, )
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parser.add_argument(
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"--verbose", "-V", default=0, type=int, help="Verbose option")
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parser.add_argument(
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"--in-filetype",
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type=str,
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default="mat",
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choices=["mat", "hdf5", "sound.hdf5", "sound"],
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help="Specify the file format for the rspecifier. "
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'"mat" is the matrix format in kaldi', )
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parser.add_argument(
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"--stats-filetype",
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type=str,
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default="mat",
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choices=["mat", "hdf5", "npy"],
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help="Specify the file format for the rspecifier. "
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'"mat" is the matrix format in kaldi', )
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parser.add_argument(
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"--out-filetype",
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type=str,
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default="mat",
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choices=["mat", "hdf5"],
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help="Specify the file format for the wspecifier. "
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'"mat" is the matrix format in kaldi', )
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parser.add_argument(
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"--norm-means",
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type=strtobool,
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default=True,
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help="Do variance normalization or not.", )
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parser.add_argument(
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"--norm-vars",
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type=strtobool,
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default=False,
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help="Do variance normalization or not.", )
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parser.add_argument(
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"--reverse",
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type=strtobool,
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default=False,
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help="Do reverse mode or not")
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parser.add_argument(
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"--spk2utt",
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type=str,
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help="A text file of speaker to utterance-list map. "
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"(Don't give rspecifier format, such as "
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'"ark:spk2utt")', )
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parser.add_argument(
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"--utt2spk",
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type=str,
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help="A text file of utterance to speaker map. "
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"(Don't give rspecifier format, such as "
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'"ark:utt2spk")', )
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parser.add_argument(
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"--write-num-frames",
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type=str,
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help="Specify wspecifer for utt2num_frames")
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parser.add_argument(
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"--compress",
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type=strtobool,
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default=False,
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help="Save in compressed format")
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parser.add_argument(
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"--compression-method",
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type=int,
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default=2,
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help="Specify the method(if mat) or "
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"gzip-level(if hdf5)", )
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parser.add_argument(
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"stats_rspecifier_or_rxfilename",
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help="Input stats. e.g. ark:stats.ark or stats.mat", )
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parser.add_argument(
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"rspecifier", type=str, help="Read specifier id. e.g. ark:some.ark")
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parser.add_argument(
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"wspecifier", type=str, help="Write specifier id. e.g. ark:some.ark")
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return parser
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def main():
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args = get_parser().parse_args()
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# logging info
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logfmt = "%(asctime)s (%(module)s:%(lineno)d) %(levelname)s: %(message)s"
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if args.verbose > 0:
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logging.basicConfig(level=logging.INFO, format=logfmt)
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else:
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logging.basicConfig(level=logging.WARN, format=logfmt)
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logging.info(get_commandline_args())
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if ":" in args.stats_rspecifier_or_rxfilename:
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is_rspcifier = True
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if args.stats_filetype == "npy":
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stats_filetype = "hdf5"
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else:
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stats_filetype = args.stats_filetype
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stats_dict = dict(
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file_reader_helper(args.stats_rspecifier_or_rxfilename,
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stats_filetype))
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else:
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is_rspcifier = False
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if args.stats_filetype == "mat":
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stats = kaldiio.load_mat(args.stats_rspecifier_or_rxfilename)
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else:
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stats = numpy.load(args.stats_rspecifier_or_rxfilename)
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stats_dict = {None: stats}
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cmvn = CMVN(
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stats=stats_dict,
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norm_means=args.norm_means,
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norm_vars=args.norm_vars,
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utt2spk=args.utt2spk,
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spk2utt=args.spk2utt,
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reverse=args.reverse, )
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with file_writer_helper(
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args.wspecifier,
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filetype=args.out_filetype,
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write_num_frames=args.write_num_frames,
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compress=args.compress,
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compression_method=args.compression_method, ) as writer:
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for utt, mat in file_reader_helper(args.rspecifier, args.in_filetype):
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if is_scipy_wav_style(mat):
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# If data is sound file, then got as Tuple[int, ndarray]
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rate, mat = mat
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mat = cmvn(mat, utt if is_rspcifier else None)
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writer[utt] = mat
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if __name__ == "__main__":
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main()
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