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espnet/
wanchichen_fleurs_multilingual_asr_hubert_frontend

Name: wanchichen_fleurs_multilingual_asr_hubert_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 21 15:18:30 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	77809	1669969	54.2	38.1	7.8	4.0	49.9	99.7
decode_asr_asr_model_valid.acc.best/dev_all	31622	610500	53.4	38.7	7.9	3.5	50.1	99.5

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.best/test_all	77809	10876592	85.1	7.4	7.5	3.2	18.0	99.7
decode_asr_asr_model_valid.acc.best/dev_all	31622	3988181	84.7	7.7	7.7	2.8	18.1	99.5

dataset	Snt	Wrd	Corr	Sub	Del	Ins	Err	S.Err
decode_asr_asr_model_valid.acc.best/test_all	77809	9622352	82.8	9.2	8.0	3.4	20.6	99.7
decode_asr_asr_model_valid.acc.best/dev_all	31622	3547834	82.4	9.4	8.2	3.0	20.6	99.5