AI4Bharat - Hindi IndicWav2Vec Speech Model
IndicWav2Vec is a multilingual speech model pre-trained on 40 Indian languages and fine-tuned for Automatic Speech Recognition (ASR) in 9 languages, achieving state-of-the-art results on multiple benchmarks.
About Model
IndicWav2Vec is a multilingual speech model pretrained on 40 Indian langauges. This model represents the largest diversity of Indian languages in the pool of multilingual speech models. The model is fine-tuned for downstream ASR for 9 languages and obtain state-of-the-art results on 3 public benchmarks, namely MUCS, MSR and OpenSLR. This model is fine tuned for Hindi Language.
AI4Bharat - Hindi IndicWav2Vec Speech Model
Metadata
MIT
Tahir Javed, Sumanth Doddapaneni, Abhigyan Raman, Kaushal Santosh Bhogale, Gowtham Ramesh, Anoop Kunchukuttan, Pratyush Kumar, Mitesh M. Khapra
Automatic Speech Recognition
N.A.
Open
Sector Agnostic
21/02/25 13:20:50
0
Activity Overview
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43 
460 
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Tags
- Speech Recognition
- ASR
- IndicWav2Vec
- AI4Bharat
- Deep Learning
License Control
MIT
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