Kumar, Akshay

An Efficient Deep Learning Based Method for Speech Assessment of Mandarin-Speaking Aphasic Patients

Mahmoud, S. S., Kumar, A., Tang, Y., Li, Y., Gu, X., Fu, J., & Fang, Q. (2020) · IEEE Journal of Biomedical and Health Informatics

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 36

Performance Evaluation of Machine Learning Frameworks for Aphasia Assessment

Mahmoud, S. S., Kumar, A., Li, Y., Tang, Y., & Fang, Q. (2021) · Sensors

Voice and Speech DisordersSpeech Recognition and Synthesis

Cited by 27

A Comparative Investigation of Automatic Speech Recognition Platforms for Aphasia Assessment Batteries

Mahmoud, S. S., Pallaud, R. F., Kumar, A., Faisal, S., Wang, Y., & Fang, Q. (2023) · Sensors

Speech Recognition and SynthesisVoice and Speech Disorders

Cited by 25

Classification of error-related potentials evoked during stroke rehabilitation training

Kumar, A., Pirogova, E., Mahmoud, S. S., & Fang, Q. (2021) · Journal of Neural Engineering

EEG and Brain-Computer InterfacesStroke Rehabilitation and Recovery

Cited by 17

A deep neural network and transfer learning combined method for cross-task classification of error-related potentials

Ren, G., Kumar, A., Mahmoud, S. S., & Fang, Q. (2024) · Frontiers in Human Neuroscience

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 4

A Transformer Encoder and Convolutional Neural Network Combined Method for Classification of Error-related Potentials

Ren, G., Mahmoud, S. S., Kumar, A., Fang, Q., & Yu, B. (2023) · 2023 IEEE Biomedical Circuits and Systems Conference (BioCAS)

EEG and Brain-Computer InterfacesEmotion and Mood Recognition

Cited by 0