activity
20182022
most citedSwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation

9 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

eess.IV2022★ 5 cited

Lung-Originated Tumor Segmentation from Computed Tomography Scan (LOTUS) Benchmark

Parnian Afshar, Arash Mohammadi, Konstantinos N. Plataniotis +22

Lung cancer is one of the deadliest cancers, and in part its effective diagnosis and treatment depend on the accurate delineation of the tumor. Human-centered segmentation, which i…

cs.LG2019

Location Forensics of Media Recordings Utilizing Cascaded SVM and Pole-matching Classifiers

Jayanta Dey, Mohammad Ariful Haque

Information regarding the location of power distribution grid can be extracted from the power signature embedded in the multimedia signals (e.g., audio, video data) recorded near e…

cs.SD2019

An Ensemble SVM-based Approach for Voice Activity Detection

Jayanta Dey, Md Sanzid Bin Hossain, Mohammad Ariful Haque

Voice activity detection (VAD), used as the front end of speech enhancement, speech and speaker recognition algorithms, determines the overall accuracy and efficiency of the algori…

cs.LG2018★ 9 cited

SwishNet: A Fast Convolutional Neural Network for Speech, Music and Noise Classification and Segmentation

Md. Shamim Hussain, Mohammad Ariful Haque

Speech, Music and Noise classification/segmentation is an important preprocessing step for audio processing/indexing. To this end, we propose a novel 1D Convolutional Neural Networ…

cs.CL2018

Native Language Identification using i-vector

Ahmed Nazim Uddin, Md Ashequr Rahman, Md. Rafidul Islam +1

The task of determining a speaker's native language based only on his speeches in a second language is known as Native Language Identification or NLI. Due to its increasing applica…