11 citations · 33 across the 6 of their papers we have counts for
6 papers
Application of Graph Networks to background rejection in Imaging Air Cherenkov Telescopes
Jonas Glombitza, Vikas Joshi, Benedetta Bruno +1
Imaging Air Cherenkov Telescopes (IACTs) are essential to ground-based observations of gamma rays in the GeV to TeV regime. One particular challenge of ground-based gamma-ray astro…
WavFT: Acoustic model finetuning with labelled and unlabelled data
Utkarsh Chauhan, Vikas Joshi, Rupesh R. Mehta
Unsupervised and self-supervised learning methods have leveraged unlabelled data to improve the pretrained models. However, these methods need significantly large amount of unlabel…
Transfer Learning Approaches for Streaming End-to-End Speech Recognition System
Vikas Joshi, Rui Zhao, Rupesh R. Mehta +2
Transfer learning (TL) is widely used in conventional hybrid automatic speech recognition (ASR) system, to transfer the knowledge from source to target language. TL can be applied…
Learning not to Discriminate: Task Agnostic Learning for Improving Monolingual and Code-switched Speech Recognition
Gurunath Reddy Madhumani, Sanket Shah, Basil Abraham +2
Recognizing code-switched speech is challenging for Automatic Speech Recognition (ASR) for a variety of reasons, including the lack of code-switched training data. Recently, we sho…
Learning to Recognize Code-switched Speech Without Forgetting Monolingual Speech Recognition
Sanket Shah, Basil Abraham, Gurunath Reddy M +2
Recently, there has been significant progress made in Automatic Speech Recognition (ASR) of code-switched speech, leading to gains in accuracy on code-switched datasets in many lan…
Modified SPLICE and its Extension to Non-Stereo Data for Noise Robust Speech Recognition
D. S. Pavan Kumar, N. Vishnu Prasad, Vikas Joshi +1
In this paper, a modification to the training process of the popular SPLICE algorithm has been proposed for noise robust speech recognition. The modification is based on feature co…