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Home/Authors/Hemant Kumar Kathania

Hemant Kumar Kathania

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Audio and Speech Processing×2AI×1ML×1Sound×1Signal Processing×1

Frequent co-authors

Paban Sapkota2×
Mikko Kurimo2×
Shrikanth Narayanan2×
Sudarsana Reddy Kadiri2×

Research Timeline

2026
Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models

This paper investigates the use of various acoustic features for recognizing dysarthric speech using a Factorized Time Delay Neural Network (F-TDNN) model, achieving a relative improvement of 4.65% in isolated word recognition and 4.63% in sentence recognition.

Autoencoder based optimized SSL representations: Complexity Minimization and improved Dysarthric ASR

This paper proposes an SSL-AutoEncoder (SSL-AE) approach for reducing feature dimensions in self-supervised learning models while maintaining dysarthric ASR performance.

Highlighted terms show continued research focus across papers

Papers

eess.ASEmpiricalRecentJun 23, 2026

Autoencoder based optimized SSL representations: Complexity Minimization and improved Dysarthric ASR

Paban Sapkota, Hemant Kumar Kathania, Mikko Kurimo, Shrikanth Narayanan +1 more

This paper proposes an SSL-AutoEncoder (SSL-AE) approach for reducing feature dimensions in self-supervised learning models while maintaining dysarthric ASR performance.

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eess.AScs.AIcs.LGEmpirical
Recent
Jun 18, 2026

Systematic Study of Dysarthric Speech Recognition: Spectral Features and Acoustic Models

Paban Sapkota, Hemant Kumar Kathania, Mikko Kurimo, Sudarsana Reddy Kadiri +1 more

This paper investigates the use of various acoustic features for recognizing dysarthric speech using a Factorized Time Delay Neural Network (F-TDNN) model, achieving a relative improvement of 4.65% in…

View →