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

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

This Hindi Automatic Speech Recognition (ASR) model converts 16kHz mono-channel audio into text. It is based on a Conformer-Large architecture with 120M parameters and a hybrid CTC-RNNT decoder, ensuring high-accuracy speech transcription.

About Model

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

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

Metadata Metadata

MIT

AI4Bharat

Automatic Speech Recognition

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:21:45

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 72
  • Views 1,240
  • File Size 0

Tags Tags

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

License Control License Control

MIT

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