Lab Details

SV Lab : Speech and Vision LaboratoryLink to Lab Webpage

Objectives

A speech translation system from one Indian language to another for conversation over telephone
A system for secure access to information using speech mode
Biometrics involving speech, image, text and audio-visual information
Content-based information storage and retrieval
Development of phonetic engine

Research Areas	Speech Synthesis and Recognition.
Members	Faculty : C. Chandra Sekhar. Students/Scholars : . PhD : Saurabh Baghel, Jyostna Devi Bodapati, Nauman Abdul Razzak Dawalatabad, Ujjal Kr Dutta, Hemalatha M. MS : Aditya Mehta, Anil Kumar Chilli, Abhiram Kumar Singh, Kaushik V V, Divi Tiru Sai Gopala Pavana Phaneendra, Vishwajit Kumar Vishnu. M.Tech : Monika Chauhan, Murali Krishna G, Ajith Kumar M, Niket Gangwar, Omji Gupta, Ridima Gupta, Joshi Vishakha Shrikant, Tatikonda Seshasai Sinzith, Kumar Vaibhav, Pranav Murali Vidhya. B.Tech(DD) : Keerthana S, Kola Sphoorti, Sathi Kesav Sai Kritin, Madisetty Uday Theja. Project Staffs :
Recent Publications	Subspace Segmentation Based Metric Learning. Ujjal Kr Dutta , C. Chandra Sekhar Appeared in 2018 IEEE International Conference on Image Processing, ICIP 2018, Athens, Greece, October 7-10, 2018, pp.1623-1627, Oct 2018 Affinity Propagation Based Closed-Form Semi-supervised Metric Learning Framework. Ujjal Kr Dutta , C. Chandra Sekhar Appeared in Artificial Neural Networks and Machine Learning - ICANN 2018 - 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part I, Lecture Notes in Computer Science, Vol 11139, pp.556-565, Oct 2018 Distance metric learning-based kernel gram matrix learning for pattern analysis tasks in kernel feature space. B. S. Shajee Mohan , C. Chandra Sekhar Appeared in Pattern Anal. Appl., Vol 21, pp.847-867, Jan 2018 Label Correlation Propagation for Semi-supervised Multi-label Learning. Aritra Ghosh , C. Chandra Sekhar Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.52-60, Dec 2017 A Two-Stage Conditional Random Field Model Based Framework for Multi-Label Classification. Abhiram Kumar Singh , C. Chandra Sekhar Appeared in Pattern Recognition and Machine Intelligence - 7th International Conference, PReMI 2017, Kolkata, India, December 5-8, 2017, Proceedings, Lecture Notes in Computer Science, Vol 10597, pp.69-76, Dec 2017
Sponsored Projects	Clustering techniques for Key-space reduction (Funding Agency :DRDO) Soft Computing Methods for Cipher System Identification and Key Clustering (Funding Agency :DRDO)

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