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Ayush Tripathi
Ayush Tripathi
BIDMC, Harvard Medical School
Verified email at bidmc.harvard.edu - Homepage
Title
Cited by
Cited by
Year
Estimation of Hypernasality Scores from Cleft Lip and Palate Speech.
CM Vikram, A Tripathi, S Kalita, SRM Prasanna
Interspeech, 1701-1705, 2018
242018
Improved speaker independent dysarthria intelligibility classification using deepspeech posteriors
A Tripathi, S Bhosale, SK Kopparapu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
232020
Detection of hypernasality based on vowel space area
AK Dubey, A Tripathi, SRM Prasanna, S Dandapat
The Journal of the Acoustical Society of America 143 (5), EL412-EL417, 2018
212018
A novel approach for intelligibility assessment in dysarthric subjects
A Tripathi, S Bhosale, SK Kopparapu
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
142020
Automatic speaker independent dysarthric speech intelligibility assessment system
A Tripathi, S Bhosale, SK Kopparapu
Computer Speech & Language 69, 101213, 2021
122021
Robust estimation of hypernasality in dysarthria with acoustic model likelihood features
M Saxon, A Tripathi, Y Jiao, JM Liss, V Berisha
IEEE/ACM transactions on audio, speech, and language processing 28, 2511-2522, 2020
12*2020
Dementia classification using acoustic descriptors derived from subsampled signals
A Triapthi, R Chakraborty, SK Kopparapu
2020 28th European signal processing conference (EUSIPCO), 91-95, 2021
112021
SurfMyoAiR: A surface electromyography-based framework for airwriting recognition
A Tripathi, AP Prathosh, SP Muthukrishnan, L Kumar
IEEE Transactions on Instrumentation and Measurement 72, 1-12, 2023
92023
ImAiR: Airwriting recognition framework using image representation of IMU signals
A Tripathi, AK Mondal, L Kumar, AP Prathosh
IEEE Sensors Letters 6 (10), 1-4, 2022
82022
CNN based Parkinson’s Disease Assessment using Empirical Mode Decomposition
A Tripathi, SK Kopparapu
82020
SCLAiR: Supervised contrastive learning for user and device independent airwriting recognition
A Tripathi, AK Mondal, L Kumar, AP Prathosh
IEEE Sensors Letters 6 (2), 1-4, 2021
72021
A novel adaptive minority oversampling technique for improved classification in data imbalanced scenarios
A Tripathi, R Chakraborty, SK Kopparapu
2020 25th International Conference on Pattern Recognition (ICPR), 10650-10657, 2021
72021
NeuroAiR: Deep Learning Framework for Airwriting Recognition from Scalp-recorded Neural Signals
A Tripathi, A Gupta, AP Prathosh, SP Muthukrishnan, L Kumar
IEEE Transactions on Instrumentation and Measurement, 2024
42024
TripCEAiR: A multi-loss minimization approach for surface EMG based airwriting recognition
A Tripathi, AP Prathosh, SP Muthukrishnan, L Kumar
Biomedical Signal Processing and Control 85, 104991, 2023
32023
Brain Connectivity Features-based Age Group Classification using Temporal Asynchrony Audio-Visual Integration Task
P Singh, A Tripathi, L Kumar, TK Gandhi
2023 45th Annual International Conference of the IEEE Engineering in …, 2023
32023
Analysis of EEG frequency bands for Envisioned Speech Recognition
A Tripathi
arXiv preprint arXiv:2203.15250, 2022
12022
Automatic Speech Intelligibility Assessment in Dysarthric Subjects
A Tripathi, S Bhosale, SK Kopparapu
ICDS 2020 : The Fourteenth International Conference on Digital Society, 2020
12020
Insights into Age-Related Functional Brain Changes during Audiovisual Integration Tasks: A Comprehensive EEG Source-Based Analysis
P Singh, A Tripathi, L Kumar, TK Gandhi
arXiv preprint arXiv:2311.15752, 2023
2023
Exploring Age-Related Functional Brain Changes During Audio-Visual Integration Tasks in Early to Mid-Adulthood
P Singh, A Tripathi, L Kumar, TK Gandhi
Available at SSRN 4814080, 0
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Articles 1–19