most citedA Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

1 citations · 4 across the 6 of their papers we have counts for

collaborators

6 papers

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…

eess.AS20241 cited

Audio-Visual Speech Enhancement in Noisy Environments via Emotion-Based Contextual Cues

Tassadaq Hussain, Kia Dashtipour, Yu Tsao +1

In real-world environments, background noise significantly degrades the intelligibility and clarity of human speech. Audio-visual speech enhancement (AVSE) attempts to restore spee…

eess.AS20221 cited

A Speech Intelligibility Enhancement Model based on Canonical Correlation and Deep Learning for Hearing-Assistive Technologies

Tassadaq Hussain, Muhammad Diyan, Mandar Gogate +4

Current deep learning (DL) based approaches to speech intelligibility enhancement in noisy environments are generally trained to minimise the distance between clean and enhanced sp…

cs.SD20221 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.CR20221 cited

A Novel Chaos-based Light-weight Image Encryption Scheme for Multi-modal Hearing Aids

Awais Aziz Shah, Ahsan Adeel, Jawad Ahmad +8

Multimodal hearing aids (HAs) aim to deliver more intelligible audio in noisy environments by contextually sensing and processing data in the form of not only audio but also visual…

eess.AS2022

A Novel Temporal Attentive-Pooling based Convolutional Recurrent Architecture for Acoustic Signal Enhancement

Tassadaq Hussain, Wei-Chien Wang, Mandar Gogate +5

In acoustic signal processing, the target signals usually carry semantic information, which is encoded in a hierarchal structure of short and long-term contexts. However, the backg…