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|
|
| import argparse |
| import numpy as np |
| import sys |
|
|
|
|
| def get_parser(): |
| parser = argparse.ArgumentParser( |
| description="converts words to phones adding optional silences around in between words" |
| ) |
| parser.add_argument( |
| "--sil-prob", |
| "-s", |
| type=float, |
| default=0, |
| help="probability of inserting silence between each word", |
| ) |
| parser.add_argument( |
| "--surround", |
| action="store_true", |
| help="if set, surrounds each example with silence", |
| ) |
| parser.add_argument( |
| "--lexicon", |
| help="lexicon to convert to phones", |
| required=True, |
| ) |
|
|
| return parser |
|
|
|
|
| def main(): |
| parser = get_parser() |
| args = parser.parse_args() |
|
|
| sil_prob = args.sil_prob |
| surround = args.surround |
| sil = "<SIL>" |
|
|
| wrd_to_phn = {} |
|
|
| with open(args.lexicon, "r") as lf: |
| for line in lf: |
| items = line.rstrip().split() |
| assert len(items) > 1, line |
| assert items[0] not in wrd_to_phn, items |
| wrd_to_phn[items[0]] = items[1:] |
|
|
| for line in sys.stdin: |
| words = line.strip().split() |
|
|
| if not all(w in wrd_to_phn for w in words): |
| continue |
|
|
| phones = [] |
| if surround: |
| phones.append(sil) |
|
|
| sample_sil_probs = None |
| if sil_prob > 0 and len(words) > 1: |
| sample_sil_probs = np.random.random(len(words) - 1) |
|
|
| for i, w in enumerate(words): |
| phones.extend(wrd_to_phn[w]) |
| if ( |
| sample_sil_probs is not None |
| and i < len(sample_sil_probs) |
| and sample_sil_probs[i] < sil_prob |
| ): |
| phones.append(sil) |
|
|
| if surround: |
| phones.append(sil) |
| print(" ".join(phones)) |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
