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Deep Neural Networks for Speech Enhancement in Complex-Noisy Environments
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-03)
In this paper, we considered the problem of the speech enhancement similar to the real-world environments where several complex noise sources simultaneously degrade the quality and intelligibility of a target speech. The ...
On Improvement of Speech Intelligibility and Quality: A Survey of Unsupervised Single Channel Speech Enhancement Algorithms
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2020-06)
Many forms of human communication exist; for instance, text and nonverbal based. Speech is, however, the most powerful and dexterous form for the humans. Speech signals enable humans to communicate and this usefulness of ...
Automated Detection of COVID-19 using Chest X-Ray Images and CT Scans through Multilayer- Spatial Convolutional Neural Networks
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2021-06)
The novel coronavirus-2019 (Covid-19), a contagious disease became a pandemic and has caused overwhelming effects on the human lives and world economy. The detection of the contagious disease is vital to avert further ...
ERBM-SE: Extended Restricted Boltzmann Machine for Multi-Objective Single-Channel Speech Enhancement
(International Journal of Interactive Multimedia and Artificial Intelligence (IJIMAI), 2022-06)
Machine learning-based supervised single-channel speech enhancement has achieved considerable research interest over conventional approaches. In this paper, an extended Restricted Boltzmann Machine (RBM) is proposed for ...