Ayush Tripathi

About Ayush Tripathi

Ayush Tripathi, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at Indian Institute of Technology Delhi, specializes in the field of Speech Processing, Pathological Speech, Signal Processing.

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

NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals

Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task

SurfMyoAiR: A surface electromyography-based framework for airwriting recognition

Insights into Age-Related Functional Brain Changes during Audiovisual Integration Tasks: A Comprehensive EEG Source-Based Analysis

TripCEAiR: A multi-loss minimization approach for surface EMG based airwriting recognition

ImAiR: Airwriting recognition framework using image representation of IMU signals

Analysis of EEG frequency bands for Envisioned Speech Recognition

Dementia classification using acoustic descriptors derived from subsampled signals

Ayush Tripathi Information

University

Position

___

Citations(all)

146

Citations(since 2020)

146

Cited By

38

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

Indian Institute of Technology Delhi

Google Scholar

View Google Scholar Profile

Ayush Tripathi Skills & Research Interests

Speech Processing

Pathological Speech

Signal Processing

Top articles of Ayush Tripathi

Title

Journal

Author(s)

Publication Date

NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals

IEEE Transactions on Instrumentation and Measurement

Ayush Tripathi

Aryan Gupta

AP Prathosh

Suriya Prakash Muthukrishnan

Lalan Kumar

2024/3/25

Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task

Prerna Singh

Ayush Tripathi

Lalan Kumar

Tapan Kumar Gandhi

2023/7/24

SurfMyoAiR: A surface electromyography-based framework for airwriting recognition

IEEE Transactions on Instrumentation and Measurement

Ayush Tripathi

A.P. Prathosh

Suriya Prakash Muthukrishnan

Lalan Kumar

2023/2/24

Insights into Age-Related Functional Brain Changes during Audiovisual Integration Tasks: A Comprehensive EEG Source-Based Analysis

arXiv preprint arXiv:2311.15752

Prerna Singh

Ayush Tripathi

Lalan Kumar

Tapan Kumar Gandhi

2023/11/27

TripCEAiR: A multi-loss minimization approach for surface EMG based airwriting recognition

Biomedical Signal Processing and Control

Ayush Tripathi

A.P. Prathosh

Suriya Prakash Muthukrishnan

Kumar

Lalan

2023/5/10

ImAiR: Airwriting recognition framework using image representation of IMU signals

IEEE Sensors Letters

Ayush Tripathi

Arnab Kumar Mondal

Lalan Kumar

AP Prathosh

2022/9/13

Analysis of EEG frequency bands for Envisioned Speech Recognition

arXiv preprint arXiv:2203.15250

Ayush Tripathi

2022/3/29

Dementia classification using acoustic descriptors derived from subsampled signals

Ayush Triapthi

Rupayan Chakraborty

Sunil Kumar Kopparapu

2021/1/18

A novel adaptive minority oversampling technique for improved classification in data imbalanced scenarios

Ayush Tripathi

Rupayan Chakraborty

Sunil Kumar Kopparapu

2021/1/10

SCLAiR: Supervised contrastive learning for user and device independent airwriting recognition

IEEE Sensors Letters

Ayush Tripathi

Arnab Kumar Mondal

Lalan Kumar

AP Prathosh

2021/12/31

Automatic speaker independent dysarthric speech intelligibility assessment system

Computer Speech & Language

Ayush Tripathi

Swapnil Bhosale

Sunil Kumar Kopparapu

2021/9/1

Automatic Speech Intelligibility Assessment in Dysarthric Subjects

Ayush Tripathi

Swapnil Bhosale

Sunil Kumar Kopparapu

2020/3/22

CNN based Parkinson’s Disease Assessment using Empirical Mode Decomposition

Ayush Tripathi

Sunil Kumar Kopparapu

2020

Robust estimation of hypernasality in dysarthria with acoustic model likelihood features

IEEE/ACM transactions on audio, speech, and language processing

Michael Saxon

Ayush Tripathi

Yishan Jiao

Julie M Liss

Visar Berisha

2020/8/7

A novel approach for intelligibility assessment in dysarthric subjects

Ayush Tripathi

Swapnil Bhosale

Sunil Kumar Kopparapu

2020/5/4

Improved speaker independent dysarthria intelligibility classification using deepspeech posteriors

Ayush Tripathi

Swapnil Bhosale

Sunil Kumar Kopparapu

2020/5/4

See List of Professors in Ayush Tripathi University(Indian Institute of Technology Delhi)

Co-Authors

H-index: 30
Visar Berisha

Visar Berisha

Arizona State University

H-index: 26
TAPAN KUMAR GANDHI, Ph.D.  FNAE

TAPAN KUMAR GANDHI, Ph.D. FNAE

Indian Institute of Technology Delhi

H-index: 15
Prathosh A P

Prathosh A P

Indian Institute of Technology Delhi

H-index: 11
Dr. Lalan Kumar

Dr. Lalan Kumar

Indian Institute of Technology Delhi

H-index: 10
Vikram C. Mathad

Vikram C. Mathad

Arizona State University

H-index: 9
Michael Saxon

Michael Saxon

University of California, Santa Barbara

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