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icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01

K2
English
icefall
transducer
librispeech
ASR
stateless transducer
PyTorch
RNN-T
speech recognition
Model card Files Community
1
icefall-asr-librispeech-transducer-stateless-multi-datasets-bpe-500-2022-03-01
File size: 23,429 Bytes 
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2022-03-01 10:30:58,402 INFO [decode.py:416] Decoding started
2022-03-01 10:30:58,402 INFO [decode.py:422] Device: cuda:0
2022-03-01 10:30:58,407 INFO [decode.py:431] {'feature_dim': 80, 'encoder_out_dim': 512, 'subsampling_factor': 4, 'attention_dim': 512, 'nhead': 8, 'dim_feedforward': 2048, 'num_encoder_layers': 12, 'vgg_frontend': False, 'env_info': {'k2-version': '1.13', 'k2-build-type': 'Release', 'k2-with-cuda': True, 'k2-git-sha1': 'f4fefe4882bc0ae59af951da3f47335d5495ef71', 'k2-git-date': 'Thu Feb 10 15:16:02 2022', 'lhotse-version': '1.0.0.dev+missing.version.file', 'torch-cuda-available': True, 'torch-cuda-version': '10.2', 'python-version': '3.8', 'icefall-git-branch': 'multiple-datasets', 'icefall-git-sha1': 'aadd7ca-clean', 'icefall-git-date': 'Mon Feb 21 15:11:46 2022', 'icefall-path': '/ceph-fj/fangjun/open-source-2/icefall-multi-datasets', 'k2-path': '/ceph-fj/fangjun/open-source-2/k2-multi-datasets/k2/python/k2/__init__.py', 'lhotse-path': '/ceph-fj/fangjun/open-source-2/lhotse-multi-datasets/lhotse/__init__.py', 'hostname': 'de-74279-k2-dev-8-0218134109-68b6994b68-l4qrs', 'IP address': '10.177.63.208'}, 'epoch': 39, 'avg': 15, 'exp_dir': PosixPath('transducer_stateless_multi_datasets/exp-full-2'), 'bpe_model': './data/lang_bpe_500/bpe.model', 'decoding_method': 'modified_beam_search', 'beam_size': 4, 'context_size': 2, 'max_sym_per_frame': 3, 'max_duration': 100, 'bucketing_sampler': True, 'num_buckets': 30, 'shuffle': True, 'return_cuts': True, 'num_workers': 2, 'enable_spec_aug': True, 'spec_aug_time_warp_factor': 80, 'enable_musan': True, 'manifest_dir': PosixPath('data/fbank'), 'on_the_fly_feats': False, 'res_dir': PosixPath('transducer_stateless_multi_datasets/exp-full-2/modified_beam_search'), 'suffix': 'epoch-39-avg-15-beam-4', 'blank_id': 0, 'vocab_size': 500}
2022-03-01 10:30:58,407 INFO [decode.py:433] About to create model
2022-03-01 10:30:58,889 INFO [decode.py:444] averaging ['transducer_stateless_multi_datasets/exp-full-2/epoch-25.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-26.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-27.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-28.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-29.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-30.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-31.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-32.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-33.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-34.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-35.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-36.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-37.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-38.pt', 'transducer_stateless_multi_datasets/exp-full-2/epoch-39.pt']
2022-03-01 10:31:16,354 INFO [decode.py:455] Number of model parameters: 84007924
2022-03-01 10:31:16,355 INFO [librispeech.py:58] About to get test-clean cuts from data/fbank/cuts_test-clean.json.gz
2022-03-01 10:31:16,481 INFO [librispeech.py:63] About to get test-other cuts from data/fbank/cuts_test-other.json.gz
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2022-03-01 10:38:04,007 INFO [decode.py:358] The transcripts are stored in transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/recogs-test-clean-beam_4-epoch-39-avg-15-beam-4.txt
2022-03-01 10:38:04,080 INFO [utils.py:404] [test-clean-beam_4] %WER 2.61% [1372 / 52576, 160 ins, 104 del, 1108 sub ]
2022-03-01 10:38:04,293 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/errs-test-clean-beam_4-epoch-39-avg-15-beam-4.txt
2022-03-01 10:38:04,294 INFO [decode.py:388] 
For test-clean, WER of different settings are:
beam_4	2.61	best for test-clean

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2022-03-01 10:48:31,719 INFO [decode.py:358] The transcripts are stored in transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/recogs-test-other-beam_4-epoch-39-avg-15-beam-4.txt
2022-03-01 10:48:31,793 INFO [utils.py:404] [test-other-beam_4] %WER 6.46% [3381 / 52343, 362 ins, 294 del, 2725 sub ]
2022-03-01 10:48:32,010 INFO [decode.py:371] Wrote detailed error stats to transducer_stateless_multi_datasets/exp-full-2/modified_beam_search/errs-test-other-beam_4-epoch-39-avg-15-beam-4.txt
2022-03-01 10:48:32,011 INFO [decode.py:388] 
For test-other, WER of different settings are:
beam_4	6.46	best for test-other

2022-03-01 10:48:32,011 INFO [decode.py:483] Done!