1 citations · 1 across the 4 of their papers we have counts for
4 papers
DuRep: Dual-Mode Speech Representation Learning via ASR-Aware Distillation
Prabash Reddy Male, Swayambhu Nath Ray, Harish Arsikere +9
Recent advancements in speech encoders have drawn attention due to their integration with Large Language Models for various speech tasks. While most research has focused on either…
Multi-Modal Pre-Training for Automated Speech Recognition
David M. Chan, Shalini Ghosh, Debmalya Chakrabarty +1
Traditionally, research in automated speech recognition has focused on local-first encoding of audio representations to predict the spoken phonemes in an utterance. Unfortunately,…
Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models
Prakhar Swarup, Debmalya Chakrabarty, Ashtosh Sapru +3
Semi-supervised learning (SSL) is an active area of research which aims to utilize unlabelled data in order to improve the accuracy of speech recognition systems. The current study…
Joint Acoustic and Class Inference for Weakly Supervised Sound Event Detection
Sandeep Kothinti, Keisuke Imoto, Debmalya Chakrabarty +3
Sound event detection is a challenging task, especially for scenes with multiple simultaneous events. While event classification methods tend to be fairly accurate, event localizat…