Dr. Achintya Kr. Sarkar received the M. Tech. degree in Instrumentation and Control Engineering from Punjab Technical University, India, in 2006, and a Ph.D. degree from IIT Madras, Chennai, India, in 2011. From 2011 to 2017, he was working as a research fellow in several laboratories: Laboratoire Informatique d’Avignon, France, LIMSI-CNRS, France, Department of Electrical and Electronic Engineering, University College Cork, Ireland, and the Department of Electronic Systems, Aalborg University, Denmark. From 2018-2020, he was working as a faculty in the School of Electronics Engineering, VIT-AP University, India.
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Research Interests:
Research Interests:
Speech signal processing
Biomedical signal processing
DNN, Machine learning
Profile: Google scholar, Linkedin , ResearchGgate
Popular conferences: [Interspeech] [IEEE-ICASSP-event] [EUSIPCO] [NCC]
ArXiV papers:
ArXiV papers:
I. Stylianou and A. K. Sarkar and N. Dawalatabad and J. Glass and Z.-H. Tan, "LibriVAD: A Scalable Open Dataset with Deep Learning Benchmarks for Voice Activity Detection", https://arxiv.org/abs/2512.17281 (Source code)
Ongoing externally funded projects:
Ongoing externally funded projects:
"End-to-End Spoken Keyword Detection System in Nine Indian Languages and its Application in Healthcare Information Dissemination”. Meity, Govt. of India. (PI) [~ 24 Lakhs INR]
"Design and development of a communication system for the speech and hearing disorder persons". IDEAS, ISI Kolkata, Govt. of India. (Co-PI) [~ 43 Lakhs INR]
Evaluation/Competition:
Evaluation/Competition:
NIST Speaker recognition, Speech recognition, Language recognition
Toolkit/software :
Toolkit/software :
Speech processing, feature extraction (voicebox, GMM-UBM python, RASTA)
Voice activity detection (rVAD)
Plotting high-dimensional data (TSNE), EER, DCF (Bosaris Toolkits)
Machine learning (Tensorflow, Pytorch, Scikit-learn-python)
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