98 citations · 348 across the 22 of their papers we have counts for
6 papers · 1 filter
Real-Time Lightweight Chaotic Encryption for 5G IoT Enabled Lip-Reading Driven Secure Hearing-Aid
Ahsan Adeel, Jawad Ahmad, Amir Hussain
Existing audio-only hearing-aids are known to perform poorly in noisy situations where overwhelming noise is present. Next-generation audio-visual (lip-reading driven) hearing-aids…
Contextual Audio-Visual Switching For Speech Enhancement in Real-World Environments
Ahsan Adeel, Mandar Gogate, Amir Hussain
Human speech processing is inherently multimodal, where visual cues (lip movements) help to better understand the speech in noise. Lip-reading driven speech enhancement significant…
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…
Lip-Reading Driven Deep Learning Approach for Speech Enhancement
Ahsan Adeel, Mandar Gogate, Amir Hussain +1
This paper proposes a novel lip-reading driven deep learning framework for speech enhancement. The proposed approach leverages the complementary strengths of both deep learning and…
Multimodal Sentiment Analysis: Addressing Key Issues and Setting up the Baselines
Soujanya Poria, Navonil Majumder, Devamanyu Hazarika +3
We compile baselines, along with dataset split, for multimodal sentiment analysis. In this paper, we explore three different deep-learning based architectures for multimodal sentim…
Complex-valued Neural Networks with Non-parametric Activation Functions
Simone Scardapane, Steven Van Vaerenbergh, Amir Hussain +1
Complex-valued neural networks (CVNNs) are a powerful modeling tool for domains where data can be naturally interpreted in terms of complex numbers. However, several analytical pro…