speech_recognition/FunASR
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Merge pull request #27 from alibaba-damo-academy/dev

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modify export_models.py
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zhifu gao 2023-01-05 12:40:10 +08:00 committed by GitHub
commit 53d5fea00a
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2 changed files with 16 additions and 3 deletions
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17
fun_text_processing/inverse_text_normalization/export_models.py
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@ -21,6 +21,12 @@ def parse_args():
parser.add_argument(
"--language", help="language", choices=['de', 'en', 'es', 'fr', 'id', 'ja', 'ko', 'pt', 'ru', 'vi', 'zh'], default="en", type=str
)
parser.add_argument(
"--token_and_classify_and_verbalize", help="export the single token&classify and verbalize or combined", choices=['single', 'combine'],
default="combine", type=str
)
parser.add_argument(
"--export_dir",
help="path to export directory. Default to current directory.",
@ -77,10 +83,17 @@ if __name__ == "__main__":
os.makedirs(export_dir, exist_ok=True)
tagger_far_file = os.path.join(export_dir, args.language + "_itn_tagger.far")
verbalizer_far_file = os.path.join(export_dir, args.language + "_itn_verbalizer.far")
tager_and_verbalizer_far_file = os.path.join(export_dir, args.language, "model.far" )
start_time = perf_counter()
tagger_fst, verbalizer_fst = get_grammars(args.language)
generator_main(tagger_far_file, {"tokenize_and_classify": tagger_fst})
generator_main(verbalizer_far_file, {"verbalize": verbalizer_fst})
if args.token_and_classify_and_verbalize == 'single':
generator_main(tagger_far_file, {"tokenize_and_classify": tagger_fst})
generator_main(verbalizer_far_file, {"verbalize": verbalizer_fst})
elif args.token_and_classify_and_verbalize == 'combine':
if not os.path.exists(os.path.join(export_dir, args.language)):
os.makedirs(os.path.join(export_dir, args.language))
generator_main(tager_and_verbalizer_far_file, {"tokenize_and_classify": tagger_fst, "verbalize": verbalizer_fst})
print(f'Time to generate graph: {round(perf_counter() - start_time, 2)} sec')

2
fun_text_processing/version.txt
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@ -1 +1 @@
0.1.0
0.1.1