131 citations · 159 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
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…
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…
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…