wanchichen_fleurs_english_asr_wav2vec_frontend

espnet/wanchichen_fleurs_english_asr_wav2vec_frontend

wanchichen_fleurs_english_asr_wav2vec_frontend is a automatic speech recognition model from espnet. Use it when you need speech turned into text. It is set up for espnet. The card lists the license as cc-by-4.0.

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

Downloads · 30 days

13% of all-time downloads

All-time downloads

120

Public

Repo size

1.4 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.pth1.4 GB · 100%

At a glance

Task: Automatic Speech Recognition
Library: espnet
License: cc-by-4.0
Access: Public
Created: Aug 24, 2022
Updated: Sep 19, 2026
SHA: 2931b8f7

Datasets

google/fleurs

Model card

From the Hugging Face model README

Usage

import librosa
from espnet2.bin.asr_inference import Speech2Text

speech2text = Speech2Text.from_pretrained(model_tag="espnet/wanchichen_fleurs_english_asr_wav2vec_frontend")
# librosa resamples and mixes to one channel, so any file works; 16000 is
# what nearly every espnet recogniser is trained on - check this model's
# config if its audio is not 16 kHz
speech, rate = librosa.load("audio.wav", sr=16000, mono=True)
text, *_ = speech2text(speech)[0]
print(text)

ESPnet2 ASR model

`espnet/wanchichen_fleurs_english_asr_wav2vec_frontend`

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

Demo: How to use in ESPnet2

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

RESULTS

Environments

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

asr_train_asr_wav2vec_960h_transformer_raw_en_us_bpe300_sp

WER

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

CER

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

TER

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

Task: Automatic Speech Recognition
Library: espnet
License: cc-by-4.0
Languages: en
Created: Aug 24, 2022
Updated: Sep 19, 2026