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 AreasSpeech Synthesis and Recognition.
MembersFaculty : C. Chandra Sekhar.

Students/Scholars :
Project Staffs :

Recent Publications
  • Domain-Specific Semantics Guided Approach to Video Captioning.  
           M. Hemalatha , C. Chandra Sekhar
          Appeared in IEEE Winter Conference on Applications of Computer Vision, WACV 2020, Snowmass Village, CO, USA, March 1-5, 2020, pp.1576-1585, Mar 2020
  • Multi-label Classification Models for Detection of Phonetic Features in building Acoustic Models.  
           Rupam Ojha , C. Chandra Sekhar
          Appeared in International Joint Conference on Neural Networks, IJCNN 2019 Budapest, Hungary, July 14-19, 2019, pp.1-8, Jul 2019
  • 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

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