Government Of India
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About Model
This 30M-parameter hybrid CTC-RNNT Branchformer model, developed by BharatGen, is designed for Automatic Speech Recognition (ASR) in Hindi. Trained on over 1,000 hours of Hindi audio-text parallel data, the model achieves a Word Error Rate (WER) of 14.85% on the Vistaar benchmark, averaged across all included datasets.
For any queries, please visit https://bharatgen.discourse.group/invites/BcouFsKk4g
BharatGen - ASR: Hindi
Metadata
MIT
BharatGen
Automatic Speech Recognition Model
PyTorch
Restricted
Sector Agnostic
29/04/25 06:29:32
N.A
94.49 MB
Activity Overview
0
5 
290 
94.49 MB
Tags
- ASR
- SpeechToText
- AutomaticSpeechRecognition
- Hindi
- generative AI
License Control
MIT
Version Control
Version 1(94.49 MB)
- admin·11 month(s) ago
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file-1745413290994-780372815
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BharatGen-ASR
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