# Noise Robustness

A model fine-tuned based on OpenAI Whisper Large V3 Turbo, specifically optimized for transcribing Air Traffic Control (ATC) communications.

AV-HuBERT is an audio-visual speech recognition model trained on the MuAViC multilingual audio-visual corpus, combining audio and visual modalities for robust performance.

AudioX is a multilingual automatic speech recognition model developed by Jivi AI, specifically optimized for South Indian languages, supporting Tamil, Telugu, Kannada, and Malayalam.

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the ATCOSIM corpus, specifically designed for automatic speech recognition tasks in air traffic control communications.

This model is a fine-tuned speech recognition model based on facebook/wav2vec2-base using toy training data, primarily designed for speech recognition tasks in random noise environments.

A speech recognition model fine-tuned on a random noise dataset based on the facebook/wav2vec2-base model

A medical text spell-checking model fine-tuned on macbert, trained on a 300-million-scale medical dataset with 96% accuracy