gvs / automatic-speech-recognition updated 5 years ago

wav2vec2-large-xlsr-malayalam

Name: wav2vec2-large-xlsr-malayalam
Author: gvs

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.

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350 K

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Commercial use: allowed apache-2.0 Not gated 1 languages View on Hugging Face ↗

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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

speaker-diarization-3.1 8.9 M whisper-large-v3-turbo 8.7 M whisperkit-coreml 8.3 M whisper-large-v3 5.5 M speaker-diarization-community-1 5.3 M whisper-base 4.8 M

Appears in

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