activity
20162021
most citedInterpretable Representation Learning for Speech and Audio Signals Based on Relevance Weighting

19 citations · 40 across the 16 of their papers we have counts for

collaborators

35 papers

eess.AS20215 cited

The Second DiCOVA Challenge: Dataset and performance analysis for COVID-19 diagnosis using acoustics

Neeraj Kumar Sharma, Srikanth Raj Chetupalli, Debarpan Bhattacharya +3

The Second Diagnosis of COVID-19 using Acoustics (DiCOVA) Challenge aimed at accelerating the research in acoustics based detection of COVID-19, a topic at the intersection of acou…

eess.AS2021

Self-Supervised Metric Learning With Graph Clustering For Speaker Diarization

Prachi Singh, Sriram Ganapathy

In this paper, we propose a novel algorithm for speaker diarization using metric learning for graph based clustering. The graph clustering algorithms use an adjacency matrix consis…

eess.AS2021

Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition

Anurenjan Purushothaman, Anirudh Sreeram, Rohit Kumar +1

The task of speech recognition in far-field environments is adversely affected by the reverberant artifacts that elicit as the temporal smearing of the sub-band envelopes. In this…

eess.AS2021

A Multi-Head Relevance Weighting Framework For Learning Raw Waveform Audio Representations

Debottam Dutta, Purvi Agrawal, Sriram Ganapathy

In this work, we propose a multi-head relevance weighting framework to learn audio representations from raw waveforms. The audio waveform, split into windows of short duration, are…

eess.AS2021

SRIB-LEAP submission to Far-field Multi-Channel Speech Enhancement Challenge for Video Conferencing

R G Prithvi Raj, Rohit Kumar, M K Jayesh +3

This paper presents the details of the SRIB-LEAP submission to the ConferencingSpeech challenge 2021. The challenge involved the task of multi-channel speech enhancement to improve…

eess.AS2021

Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge

Neeraj Kumar Sharma, Ananya Muguli, Prashant Krishnan +3

The technology development for point-of-care tests (POCTs) targeting respiratory diseases has witnessed a growing demand in the recent past. Investigating the presence of acoustic…