gvs / automatic-speech-recognition Open weights updated 5 years ago

wav2vec2-large-xlsr-malayalam

Fine-tuned facebook/wav2vec2-large-xlsr-53 on ml (Malayalam) using the Indic TTS Malayalam Speech Corpus (via Kaggle), Openslr Malayalam Speech Corpus, SMC Malayalam Speech Corpus and IIIT-H Indic Speech Databases. The notebooks used to train model are available here. When using this model, make sure that your speech input is sampled at 16kHz.

Params
—
Context
—
Downloads 30d
530 K
Likes
7
Commercial use: allowed apache-2.0 Not gated 1 languages View on Hugging Face ↗

Download history

daily snapshots · 101 days
▲ 153 K in the last 30 days (40.5%)
787 K301 K
Aug 2Sep 4Oct 8Nov 10

Specifications

Architecture
Wav2Vec2ForCTC
Vocabulary
76
Layers / heads
24 / 16
Licence
apache-2.0
First seen on the Hub
2022-03-02
Training datasets
undisclosed
Test split of combined dataset using all datasets mentioned above (reported)
28.43
Added to our catalog
2026-08-02
Compare with any automatic-speech-recognition model