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Debmalya Chakrabarty

Debmalya Chakrabarty

Johns Hopkins University

H-index: 7

North America-United States

About Debmalya Chakrabarty

Debmalya Chakrabarty, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Johns Hopkins University, specializes in the field of Machine Learning, Auditory Scene Analysis, Speaker Verification.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multi-modal pre-training for automated speech recognition

Efficient large scale semi-supervised learning for CTC based acoustic models

Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models

Debmalya Chakrabarty Information

University

Position

___

Citations(all)

173

Citations(since 2020)

108

Cited By

97

hIndex(all)

7

hIndex(since 2020)

7

i10Index(all)

7

i10Index(since 2020)

5

Email

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University Profile Page

Johns Hopkins University

Google Scholar

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Debmalya Chakrabarty Skills & Research Interests

Machine Learning

Auditory Scene Analysis

Speaker Verification

Top articles of Debmalya Chakrabarty

Title

Journal

Author(s)

Publication Date

Multi-modal pre-training for automated speech recognition

David M Chan

Shalini Ghosh

Debmalya Chakrabarty

Björn Hoffmeister

2022/5/23

Efficient large scale semi-supervised learning for CTC based acoustic models

Prakhar Swarup

Debmalya Chakrabarty

Ashtosh Sapru

Hitesh Tulsiani

Harish Arsikere

...

2021/1/19

Knowledge Distillation and Data Selection for Semi-Supervised Learning in CTC Acoustic Models

arXiv preprint arXiv:2008.03923

Prakhar Swarup

Debmalya Chakrabarty

Ashtosh Sapru

Hitesh Tulsiani

Harish Arsikere

...

2020/8/10

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