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Motor imagery classification using sparse nonnegative matrix factorization and convolutional neural networks
The motor movement performed by different body parts affects the synaptic potential at
different brain cortices, which can be observed by the electroencephalogram (EEG) signal …
different brain cortices, which can be observed by the electroencephalogram (EEG) signal …
[PDF][PDF] International Journal of Advanced Trends in Computer Science and Engineering
AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah… - International …, 2019 - arxiv.org
Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …
lot of the researchers' attention in the recent few years. As a proven powerful machine …
[PDF][PDF] Denoising of Speech Signal using Empirical Mode Decomposition and Kalman Filter
A Nandhini, KP Bharath… - researchgate.net
Speech denoising is the process of removing the noise from the noise corrupted speech.
The applications of speech denoising are used in speech enhancement, speech recognition …
The applications of speech denoising are used in speech enhancement, speech recognition …
ASR for mixed speech using SNMF based separation algorithm
Combined experiment for separation and recognition of the mixed speech signal of two
speakers using different features are reported in this work. For separation of speech signals …
speakers using different features are reported in this work. For separation of speech signals …