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

no code implementations • 15 May 2023 • Fazle Rabbi Rakib, Souhardya Saha Dip, Samiul Alam, Nazia Tasnim, Md. Istiak Hossain Shihab, MD. Nazmuddoha Ansary, Syed Mobassir Hossen, Marsia Haque Meghla, Mamunur Mamun, Farig Sadeque, Sayma Sultana Chowdhury, Tahsin Reasat, Asif Sushmit, Ahmed Imtiaz Humayun

Our test dataset comprises 23. 03 hours of speech collected and manually annotated from 17 different sources, e. g., Bengali TV drama, Audiobook, Talk show, Online class, and Islamic sermons to name a few.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

Abugida Normalizer and Parser for Unicode texts

1 code implementation • 11 May 2023 • Nazmuddoha Ansary, Quazi Adibur Rahman Adib, Tahsin Reasat, Sazia Mehnaz, Asif Shahriyar Sushmit, Ahmed Imtiaz Humayun, Mohammad Mamun Or Rashid, Farig Sadeque

This paper proposes two libraries to address common and uncommon issues with Unicode-based writing schemes for Indic languages.

Language Modelling

Data Efficient Contrastive Learning in Histopathology using Active Sampling

no code implementations • 28 Mar 2023 • Tahsin Reasat, David S. Smith

Deep Learning based diagnostics systems can provide accurate and robust quantitative analysis in digital pathology.

Contrastive Learning

BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset

1 code implementation • 9 Mar 2023 • Md. Istiak Hossain Shihab, Md. Rakibul Hasan, Mahfuzur Rahman Emon, Syed Mobassir Hossen, MD. Nazmuddoha Ansary, Intesur Ahmed, Fazle Rabbi Rakib, Shahriar Elahi Dhruvo, Souhardya Saha Dip, Akib Hasan Pavel, Marsia Haque Meghla, Md. Rezwanul Haque, Sayma Sultana Chowdhury, Farig Sadeque, Tahsin Reasat, Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit

While strides have been made in deep learning based Bengali Optical Character Recognition (OCR) in the past decade, the absence of large Document Layout Analysis (DLA) datasets has hindered the application of OCR in document transcription, e. g., transcribing historical documents and newspapers.

Benchmarking Document Layout Analysis +2

Bengali Common Voice Speech Dataset for Automatic Speech Recognition

no code implementations • 28 Jun 2022 • Samiul Alam, Asif Sushmit, Zaowad Abdullah, Shahrin Nakkhatra, MD. Nazmuddoha Ansary, Syed Mobassir Hossen, Sazia Morshed Mehnaz, Tahsin Reasat, Ahmed Imtiaz Humayun

Bengali is one of the most spoken languages in the world with over 300 million speakers globally.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +2

A Large Multi-Target Dataset of Common Bengali Handwritten Graphemes

2 code implementations • 1 Oct 2020 • Samiul Alam, Tahsin Reasat, Asif Shahriyar Sushmit, Sadi Mohammad Siddiquee, Fuad Rahman, Mahady Hasan, Ahmed Imtiaz Humayun

We propose a labeling scheme based on graphemes (linguistic segments of word formation) that makes segmentation in-side alpha-syllabary words linear and present the first dataset of Bengali handwritten graphemes that are commonly used in an everyday context.

Multi-Label Classification Optical Character Recognition +1

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

no code implementations • 10 Oct 2018 • Sharif Amit Kamran, Ahmed Imtiaz Humayun, Samiul Alam, Rashed Mohammad Doha, Manash Kumar Mandal, Tahsin Reasat, Fuad Rahman

Solving problems with Artificial intelligence in a competitive manner has long been absent in Bangladesh and Bengali-speaking community.

BIG-bench Machine Learning

NumtaDB - Assembled Bengali Handwritten Digits

2 code implementations • 6 Jun 2018 • Samiul Alam, Tahsin Reasat, Rashed Mohammad Doha, Ahmed Imtiaz Humayun

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.

Detection of Inferior Myocardial Infarction using Shallow Convolutional Neural Networks

1 code implementation • 3 Oct 2017 • Tahsin Reasat, Celia Shahnaz

The performance of the model is evaluated on IMI and healthy signals obtained from Physikalisch-Technische Bundesanstalt (PTB) database.

Electrocardiography (ECG) Specificity