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

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

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

About Model

The Bodo ASR (Automatic Speech Recognition) model is designed for transcribing spoken Bodo into text from 16kHz mono-channel audio files. It is based on a Conformer-Large architecture with 120 million parameters, leveraging 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 patterns, making it highly efficient for speech recognition tasks in Bodo. This model is ideal for applications requiring precise and reliable Bodo speech transcription.

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

Metadata Metadata

MIT

AI4Bharat

Automatic Speech Recognition

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:21:48

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 34
  • File Size 0
  • Views 653

Tags Tags

  • Automatic Speech Recognition
  • Audio Processing
  • NLP
  • Speech-to-Text

License Control License Control

MIT

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