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

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

This Kannada Automatic Speech Recognition (ASR) model transcribes 16kHz mono-channel audio into text. It utilizes a Conformer-Large architecture with 120M parameters and a hybrid CTC-RNNT decoder for high-accuracy speech recognition.

About Model

This Automatic Speech Recognition (ASR) model is designed to transcribe spoken Kannada into text from 16kHz mono-channel audio inputs. It is built on a Conformer-Large architecture, featuring 120 million parameters for robust speech processing. The model employs a hybrid CTC-RNNT decoder, ensuring efficient and accurate transcription. With 17 conformer blocks and a model dimension of 512, it captures linguistic nuances effectively, making it ideal for various speech-to-text applications in Kannada.

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

Metadata Metadata

MIT

AI4Bharat

Automatic Speech Recognition

N.A.

Open

AI4Bharat

Sector Agnostic

21/02/25 13:21:44

Nikhil Narasimhan

0

Activity Overview Activity Overview

  • Downloads0
  • Redirect 13
  • Views 333
  • File Size 0

Tags Tags

  • Automatic Speech Recognition
  • Audio Processing
  • NLP

License Control License Control

MIT

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