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20182025
most citedAn Experimental Analysis of Attack Classification Using Machine Learning in IoT Networks

432 citations · 832 across the 20 of their papers we have counts for

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7 papers · 1 filter

cs.SD2024

Towards Environmental Preference Based Speech Enhancement For Individualised Multi-Modal Hearing Aids

Jasper Kirton-Wingate, Shafique Ahmed, Adeel Hussain +6

Since the advent of Deep Learning (DL), Speech Enhancement (SE) models have performed well under a variety of noise conditions. However, such systems may still introduce sonic arte…

cs.SD2022★ 1 cited

A Novel Speech Intelligibility Enhancement Model based on CanonicalCorrelation and Deep Learning

Tassadaq Hussain, Muhammad Diyan, Mandar Gogate +4

Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are often trained to minimise the feature distance between noise-free speech…

cs.SD2021★ 2 cited

Towards Robust Real-time Audio-Visual Speech Enhancement

Mandar Gogate, Kia Dashtipour, Amir Hussain

The human brain contextually exploits heterogeneous sensory information to efficiently perform cognitive tasks including vision and hearing. For example, during the cocktail party…

cs.SD2021

Towards Intelligibility-Oriented Audio-Visual Speech Enhancement

Tassadaq Hussain, Mandar Gogate, Kia Dashtipour +1

Existing deep learning (DL) based speech enhancement approaches are generally optimised to minimise the distance between clean and enhanced speech features. These often result in i…

cs.SD2019★ 7 cited

AV Speech Enhancement Challenge using a Real Noisy Corpus

Mandar Gogate, Ahsan Adeel, Kia Dashtipour +2

This paper presents, a first of its kind, audio-visual (AV) speech enhacement challenge in real-noisy settings. A detailed description of the AV challenge, a novel real noisy AV co…

cs.SD2019

CochleaNet: A Robust Language-independent Audio-Visual Model for Speech Enhancement

Mandar Gogate, Kia Dashtipour, Ahsan Adeel +1

Noisy situations cause huge problems for suffers of hearing loss as hearing aids often make the signal more audible but do not always restore the intelligibility. In noisy settings…

cs.SD2018★ 45 cited

DNN driven Speaker Independent Audio-Visual Mask Estimation for Speech Separation

Mandar Gogate, Ahsan Adeel, Ricard Marxer +2

Human auditory cortex excels at selectively suppressing background noise to focus on a target speaker. The process of selective attention in the brain is known to contextually expl…