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

RomanSetu is a multilingual continual pretrained transformer model designed for transliteration across six Indic languages

RomanSetu is a multilingual continual pretrained transformer model designed for transliteration across six Indic languages

This model takes in mono-channel audio files at a 16,000 Hz sampling rate (WAV format) and outputs the transcribed text of the speech contained in the audio.

Automatic Speech Recognition (ASR) model for Konkani speech recognition, processing 16,000 KHz mono WAV audio and transcribing spoken content into text

This Automatic Speech Recognition (ASR) model transcribes Kashmiri speech from 16,000 KHz mono WAV audio files into text

RomanSetu is Efficiently unlocking multilingual (Indian Languages) capabilities of Large Language Models via Romanization.

RomanSetu is Efficiently unlocking multilingual (Indian Languages) capabilities of Large Language Models via Romanization.

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.

Romansetu model is built on base pretrained model which is supervised fine tuned on instuction-following tasks using romanized Indian languages.

A large-scale neural machine translation (NMT) model for translating English to Hindi (Devanagari) language, leveraging 1 billion parameters for high-quality translations.