6 papers
BanglaWild: An In-the-Wild Bengali Scene Text Recognition Benchmark for OCR and Vision-Language Models
Sadab Shiper, Tawsif Tashwar Dipto, Mir Md Inzamam +1
In-the-wild Bengali scene text recognition is largely unmeasured: existing resources target handwritten documents or constrained sign-board parsing, report only aggregate edit-dist…
From Lightweight CNNs to SpikeNets: Benchmarking Accuracy-Energy Tradeoffs with Pruned Spiking SqueezeNet
Radib Bin Kabir, Tawsif Tashwar Dipto, Mehedi Ahamed +2
Spiking Neural Networks (SNNs) are increasingly studied as energy-efficient alternatives to Convolutional Neural Networks (CNNs), particularly for edge intelligence. However, prior…
Are ASR foundation models generalized enough to capture features of regional dialects for low-resource languages?
Tawsif Tashwar Dipto, Azmol Hossain, Rubayet Sabbir Faruque +12
Conventional research on speech recognition modeling relies on the canonical form for most low-resource languages while automatic speech recognition (ASR) for regional dialects is…
RegSpeech12: A Regional Corpus of Bengali Spontaneous Speech Across Dialects
Md. Rezuwan Hassan, Azmol Hossain, Kanij Fatema +13
The Bengali language, spoken extensively across South Asia and among diasporic communities, exhibits considerable dialectal diversity shaped by geography, culture, and history. Pho…
Evaluating LLMs' Multilingual Capabilities for Bengali: Benchmark Creation and Performance Analysis
Shimanto Bhowmik, Tawsif Tashwar Dipto, Md Sazzad Islam +2
Bengali is an underrepresented language in NLP research. However, it remains a challenge due to its unique linguistic structure and computational constraints. In this work, we syst…
Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
Mehedi Ahamed, Radib Bin Kabir, Tawsif Tashwar Dipto +3
This study investigates the performance of few-shot learning (FSL) approaches in recognizing Bangla handwritten characters and numerals using limited labeled data. It demonstrates…