1 citations · 2 across the 6 of their papers we have counts for
6 papers
Subject Representation Learning from EEG using Graph Convolutional Variational Autoencoders
Aditya Mishra, Ahnaf Mozib Samin, Ali Etemad +1
We propose GC-VASE, a graph convolutional-based variational autoencoder that leverages contrastive learning for subject representation learning from EEG data. Our method successful…
ColorFoil: Investigating Color Blindness in Large Vision and Language Models
Ahnaf Mozib Samin, M. Firoz Ahmed, Md. Mushtaq Shahriyar Rafee
With the utilization of Transformer architecture, large Vision and Language (V&L) models have shown promising performance in even zero-shot settings. Several studies, however, indi…
Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition
Ahnaf Mozib Samin
Byte pair encoding (BPE) emerges as an effective tokenization method for tackling the out-of-vocabulary (OOV) challenge in various natural language and speech processing tasks. Rec…
Arguments to Key Points Mapping with Prompt-based Learning
Ahnaf Mozib Samin, Behrooz Nikandish, Jingyan Chen
Handling and digesting a huge amount of information in an efficient manner has been a long-term demand in modern society. Some solutions to map key points (short textual summaries…
Analysis of Male and Female Speakers' Word Choices in Public Speeches
Md Zobaer Hossain, Ahnaf Mozib Samin
The extent to which men and women use language differently has been questioned previously. Finding clear and consistent gender differences in language is not conclusive in general,…
Investigating self-supervised, weakly supervised and fully supervised training approaches for multi-domain automatic speech recognition: a study on Bangladeshi Bangla
Ahnaf Mozib Samin, M. Humayon Kobir, Md. Mushtaq Shahriyar Rafee +5
Despite huge improvements in automatic speech recognition (ASR) employing neural networks, ASR systems still suffer from a lack of robustness and generalizability issues due to dom…