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wanchichen_fleurs_asr_conformer_scctc
espnet/wanchichen_fleurs_asr_conformer_scctc
wanchichen_fleurs_asr_conformer_scctc 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.
All-time downloads
10
Public
Repo size
1.8 GB
Likes
1
Public
Repo makeup
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.pth1.8 GB · 100%
At a glance
- Task
- Automatic Speech Recognition
- Library
- espnet
- License
- cc-by-4.0
- Access
- Public
- Created
- Nov 1, 2022
- Updated
- Sep 19, 2026
- SHA
- c08984b4
Datasets
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_asr_conformer_scctc")
# 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_asr_conformer_sctctc
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:
Sat Oct 22 14:55:21 EDT 2022 - python version:
3.8.6 (default, Dec 17 2020, 16:57:01) [GCC 10.2.0] - espnet version:
espnet 202207 - pytorch version:
pytorch 1.8.1+cu102 - Git hash:
e534106b837ff6cdd29977a52983c022ff1afb0f- Commit date:
Sun Sep 11 22:31:23 2022 -0400
- Commit date:
asr_train_asr_xlsr_conformer_scctc_raw_all_bpe6500_sp
WER
| dataset | Snt | Wrd | Corr | Sub | Del | Ins | Err | S.Err |
|---|---|---|---|---|---|---|---|---|
| decode_asr_lm_lm_train_lm_all_bpe6500_valid.loss.ave_asr_model_valid.acc.ave_3best/test_all | 77809 | 1592160 | 70.5 | 26.1 | 3.4 | 3.4 | 32.9 | 97.0 |
CER
| dataset | Snt | Wrd | Corr | Sub | Del | Ins | Err | S.Err |
|---|---|---|---|---|---|---|---|---|
| decode_asr_lm_lm_train_lm_all_bpe6500_valid.loss.ave_asr_model_valid.acc.ave_3best/test_all | 77809 | 10235271 | 92.2 | 4.7 | 3.1 | 2.6 | 10.4 | 97.0 |
TER
| dataset | Snt | Wrd | Corr | Sub | Del | Ins | Err | S.Err |
|---|---|---|---|---|---|---|---|---|
| decode_asr_lm_lm_train_lm_all_bpe6500_valid.loss.ave_asr_model_valid.acc.ave_3best/test_all | 77809 | 9622352 | 91.3 | 5.6 | 3.1 | 2.7 | 11.4 | 97.0 |
- Task
- Automatic Speech Recognition
- Library
- espnet
- License
- cc-by-4.0
- Languages
- en
- Created
- Nov 1, 2022
- Updated
- Sep 19, 2026