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Dr.K.Karthika

Assistant Professor (Sr.Grade)

Qualification: M.C.A.,M.Phil.,Ph.D.,
k_karthika@cb.amrita.edu
Orcid Profile
Google Scholar Profile
Scopus Author ID
Research Interest: Speech Processing, Deep Learning, Machine Learning

Bio
  • Cleared UGC NET IN JUNE 2022
  • Worked as a Project Fellow under the RUSA 2.0 Grant
Publications

Journal Article

Year : 2021

Convolutional and Deep Neural Networks based techniques for extracting the age-relevant features of the speaker

Cite this Research Publication : Kuppusamy, Karthika, and Chandra Eswaran. "Convolutional and Deep Neural Networks based techniques for extracting the age-relevant features of the speaker." Journal of Ambient Intelligence and Humanized Computing 13, no. 12 (2022): 5655-5667.

Publisher : Springer Nature

Year : 2019

Speech And Speaker Recognition: A Review

Cite this Research Publication : Kuppusamy, Karthika, and Chandra Eswaran. "Speech and speaker recognition: a review." Int J Sci Technol Res 8 (2019): 938-944.

Year : 2018

An Advance on Gender Classification by Information Preserving Features

Cite this Research Publication : Kuppusamy, Karthika, and Chandra Eswaran. "An advance on gender classification by information preserving features." In Proceedings of the 2018 International Conference on Electronics and Electrical Engineering Technology, pp. 227-231. 2018.

FDP / Workshops
  • Attended, NEP2020 Orientation and Sensitization Programme, UGC – Malaviya Mission Teacher Training Center, Bharathidasan University, Trichy, March 2024.
  • Participated in National Level Faculty Development Programme on Recent Technologies, Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Nov 29th-December 06,2022.
  • Participated, in Faculty Development Programme, Prominent Challenges in Computer Vision Data and Intelligence, Navarasam Arts and Science College for Women,26th-31st December 2022.
  • Attended,“Fundamentals of Arduino”, Department of Electronics and Communication Science, Dharmamurthi Rao Bahadur Calavala Cunnan Chetty’s Hindu College, May 2020.
  • Participated, in “Building Web Application using Java Spring, Department of Computer Science and Engineering,Aarupadai Veedu Institute of Technology,May 2020.
  • Participated,”Applications of Data Analytics in Data Science,Department of Computer Science , National College, Trichy,May 2020.
Invited Talks
  • Session Chair,  “Voice recognition “ in an Association Activity organised by the PG Department of Computer Science and Applications, Auxilium College (Autonomous), Gandhi Nagar, Vellore on 4th February 2023.
  • Reviewer, Contemporary Applications of Data Fusion for Advanced Healthcare Informatics IGI Global Book Chapter Peer Reviews., April 2023.
  • Moderator, International Conference on “Advances in Artificial Intelligence and Machine Learning,” PSGR Krishnammal College for Women February 22nd and 23rd 2024.
Conferences
  •  Presented and published entitled, “Review on Dimensionality Reduction Techniques for Speaker Recognition”, International Conference on Advanced Computing (ICAC-2022) held at Department of Computer Science, Bharathiar University, Coimbatore.
  • Presented and published” An advance on gender classification by information preserving features in International Conference on Electronics and Electrical Engineering Technology (EEET 2018) held at Tianjin Polytechnic University, Tianjin, China.
  •  Presented an article entitled,” Speaker Age and Gender Classification based on Feature Parameters – A Review”, in National Conference on Advance Computing (NCAC – 2019) Held at Department of Computer Science, Bharathiar University, Coimbatore.
  •  Presented an article entitled, “Analysis of Different Windowing Techniques for Feature Extraction in Speaker Gender Recognition in International Conference on Computational Sciences  (ICCS 2019) held at Department of Computer Science, Bharathiar University, Coimbatore.
Research Grants

Granted Patent for the invention,” Method for Recognition of Speaker For Forensic Applications Based on Extraction and Classification of Parameters”, Patent Number: 416793.

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