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espnet/
wanchichen_fleurs_english_asr_wav2vec_frontend

Name: wanchichen_fleurs_english_asr_wav2vec_frontend
Availability: InStock

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ESPnet2 ASR model

This model was trained by William Chen using the fleurs recipe in espnet.

bash

cd espnet
pip install -e .
cd egs2/fleurs/asr1
./run.sh

date: Sun Aug 14 14:52:04 EDT 2022
python version: 3.8.6 (default, Dec 17 2020, 16:57:01) [GCC 10.2.0]
espnet version: espnet 202205
pytorch version: pytorch 1.8.1+cu102
Git hash: 45e8cb9173a072f85ee7a7ccbcae06af7c5c484a
- Commit date: Wed Jun 1 14:21:14 2022 +0900

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.best/test_all	647	14344	67.1	29.4	3.5	4.6	37.5	99.8
decode_asr_asr_model_valid.acc.best/dev_all	388	7935	66.8	29.7	3.6	5.0	38.2	99.0

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.best/test_all	647	83954	88.6	5.4	6.0	4.8	16.2	99.8
decode_asr_asr_model_valid.acc.best/dev_all	388	47051	88.1	6.0	5.9	4.4	16.3	99.0

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.best/test_all	647	39965	7.7	14.9	7.4	4.1	26.4	99.8
decode_asr_asr_model_valid.acc.best/dev_all	388	22491	77.3	15.2	7.5	3.8	26.5	99.0