most citedAutoEmbedder: A semi-supervised DNN embedding system for clustering

49 citations · 78 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20212 cited

Challenges and Opportunities of Speech Recognition for Bengali Language

M. F. Mridha, Abu Quwsar Ohi, Md. Abdul Hamid +1

Speech recognition is a fascinating process that offers the opportunity to interact and command the machine in the field of human-computer interactions. Speech recognition is a lan…

cs.CV2021

End-to-End Optical Character Recognition for Bengali Handwritten Words

Farisa Benta Safir, Abu Quwsar Ohi, M. F. Mridha +2

Optical character recognition (OCR) is a process of converting analogue documents into digital using document images. Currently, many commercial and non-commercial OCR systems exis…

cs.CV202127 cited

FabricNet: A Fiber Recognition Architecture Using Ensemble ConvNets

Abu Quwsar Ohi, M. F. Mridha, Md. Abdul Hamid +2

Fabric is a planar material composed of textile fibers. Textile fibers are generated from many natural sources; including plants, animals, minerals, and even, it can be synthetic.…

cs.SD2020

A Lightweight Speaker Recognition System Using Timbre Properties

Abu Quwsar Ohi, M. F. Mridha, Md. Abdul Hamid +3

Speaker recognition is an active research area that contains notable usage in biometric security and authentication system. Currently, there exist many well-performing models in th…

cs.LG202049 cited

AutoEmbedder: A semi-supervised DNN embedding system for clustering

Abu Quwsar Ohi, M. F. Mridha, Farisa Benta Safir +2

Clustering is widely used in unsupervised learning method that deals with unlabeled data. Deep clustering has become a popular study area that relates clustering with Deep Neural N…