146 citations · 405 across the 20 of their papers we have counts for
21 papers
Efficient Audio-Visual Speech Enhancement via Reinforcement Learning-Based Neural Architecture Search
Khubaib Ahmed, Ahsan Adeel, Nasir Saleem +3
Audio-visual speech enhancement (AVSE) improves speech intelligibility in noisy environments but often relies on computationally expensive models unsuitable for resource-constraine…
A Comparative Evaluation of Large Language Models for Persian Sentiment Analysis and Emotion Detection in Social Media Texts
Kian Tohidi, Kia Dashtipour, Simone Rebora +1
This study presents a comprehensive comparative evaluation of four state-of-the-art Large Language Models (LLMs)--Claude 3.7 Sonnet, DeepSeek-V3, Gemini 2.0 Flash, and GPT-4o--for…
Audio-Visual Feature Synchronization for Robust Speech Enhancement in Hearing Aids
Nasir Saleem, Mandar Gogate, Kia Dashtipour +5
Audio-visual feature synchronization for real-time speech enhancement in hearing aids represents a progressive approach to improving speech intelligibility and user experience, par…
Chain of Questions: Guiding Multimodal Curiosity in Language Models
Nima Iji, Kia Dashtipour
Reasoning capabilities in large language models (LLMs) have substantially advanced through methods such as chain-of-thought and explicit step-by-step explanations. However, these i…
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…
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…