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Home/Models/AI4Bharat- Gujarati - IndicConformer Automatic Speech Recognition (ASR) Model

AI4Bharat- Gujarati - IndicConformer Automatic Speech Recognition (ASR) Model

This Gujarati Automatic Speech Recognition (ASR) model converts 16kHz mono-channel audio into text. Built on a Conformer-Large architecture with 120M parameters and a hybrid CTC-RNNT decoder, it delivers high-accuracy speech-to-text transcription.

About Model

The Automatic Speech Recognition (ASR) model is designed to transcribe spoken Gujarati into text from 16kHz mono-channel audio files. It utilizes a Conformer-Large architecture with 120 million parameters, ensuring robust and efficient speech recognition. The model employs a hybrid CTC-RNNT decoder for enhanced transcription accuracy. With 17 conformer blocks and a model dimension of 512, it effectively captures linguistic and acoustic nuances, making it suitable for various speech-to-text applications in Gujarati.

AI4Bharat- Gujarati - IndicConformer Automatic Speech Recognition (ASR) Model

Metadata Metadata

MIT

AI4Bharat

Automatic Speech Recognition

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:21:46

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 30
  • Views 207
  • File Size 0

Tags Tags

  • Automatic Speech Recognition
  • Audio Processing
  • NLP

License Control License Control

MIT

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