131 citations · 394 across the 29 of their papers we have counts for
10 papers · 1 filter
Unlocking the potential of two-point cells for energy-efficient and resilient training of deep nets
Ahsan Adeel, Adewale Adetomi, Khubaib Ahmed +3
Context-sensitive two-point layer 5 pyramidal cells (L5PCs) were discovered as long ago as 1999. However, the potential of this discovery to provide useful neural computation has y…
A Novel Frame Structure for Cloud-Based Audio-Visual Speech Enhancement in Multimodal Hearing-aids
Abhijeet Bishnu, Ankit Gupta, Mandar Gogate +5
In this paper, we design a first of its kind transceiver (PHY layer) prototype for cloud-based audio-visual (AV) speech enhancement (SE) complying with high data rate and low laten…
PL-kNN: A Parameterless Nearest Neighbors Classifier
Danilo Samuel Jodas, Leandro Aparecido Passos, Ahsan Adeel +1
Demands for minimum parameter setup in machine learning models are desirable to avoid time-consuming optimization processes. The -Nearest Neighbors is one of the most effective…
Multimodal Speech Enhancement Using Burst Propagation
Mohsin Raza, Leandro A. Passos, Ahmed Khubaib +1
This paper proposes the MBURST, a novel multimodal solution for audio-visual speech enhancements that consider the most recent neurological discoveries regarding pyramidal cells of…
Context-sensitive neocortical neurons transform the effectiveness and efficiency of neural information processing
Khubaib Ahmed, Ahsan Adeel, Mario Franco +1
Deep learning (DL) has big-data processing capabilities that are as good, or even better, than those of humans in many real-world domains, but at the cost of high energy requiremen…
Canonical Cortical Graph Neural Networks and its Application for Speech Enhancement in Audio-Visual Hearing Aids
Leandro A. Passos, João Paulo Papa, Amir Hussain +1
Despite the recent success of machine learning algorithms, most models face drawbacks when considering more complex tasks requiring interaction between different sources, such as m…