activity
20182023
most citedA Large Multi-Target Dataset of Common Bengali Handwritten Graphemes

15 citations · 25 across the 4 of their papers we have counts for

collaborators

5 papers

eess.AS2023

OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking

Fazle Rabbi Rakib, Souhardya Saha Dip, Samiul Alam +11

We present OOD-Speech, the first out-of-distribution (OOD) benchmarking dataset for Bengali automatic speech recognition (ASR). Being one of the most spoken languages globally, Ben…

cs.CL2022★ 10 cited

Bengali Common Voice Speech Dataset for Automatic Speech Recognition

Samiul Alam, Asif Sushmit, Zaowad Abdullah +6

Bengali is one of the most spoken languages in the world with over 300 million speakers globally. Despite its popularity, research into the development of Bengali speech recognitio…

cs.CV2020★ 15 cited

A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes

Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit +4

Latin has historically led the state-of-the-art in handwritten optical character recognition (OCR) research. Adapting existing systems from Latin to alpha-syllabary languages is pa…

cs.CV2018

AI Learns to Recognize Bengali Handwritten Digits: Bengali.AI Computer Vision Challenge 2018

Sharif Amit Kamran, Ahmed Imtiaz Humayun, Samiul Alam +4

Solving problems with Artificial intelligence in a competitive manner has long been absent in Bangladesh and Bengali-speaking community. On the other hand, there has not been a wel…

cs.CV2018

NumtaDB - Assembled Bengali Handwritten Digits

Samiul Alam, Tahsin Reasat, Rashed Mohammad Doha +1

To benchmark Bengali digit recognition algorithms, a large publicly available dataset is required which is free from biases originating from geographical location, gender, and age.…