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Dr. Lekshmi C. R.

Assistant Professor, Centre for Computational Engineering and Networking, School of Artificial Intelligence, Coimbatore

Qualification: M.Tech., Ph.D
cr_lekshmi@cb.amrita.edu
Research Interest: Signal Processing using deep learning, Neural networks, Generative adversarial networks, Transformer architectures, Attention mechanism

Bio Publications Qualifications Positions Awards/Honors/Recognition Reviewers
Bio

Dr. Lekshmi C. R. is an Assistant Professor at the Centre for Computational Engineering and Networking, School of Artificial Intelligence, Amrita Vishwa Vidyapeetham, Coimbatore. She earned her Ph.D. from the College of Engineering Trivandrum, focusing on “Predominant Instrument Recognition and Separation in Polyphonic Music Using Deep Learning Frameworks.”

Her research interests include image and audio processing with deep learning, attention mechanisms, generative adversarial networks, and transformer architectures. Dr. Lekshmi holds a B.Tech in Electronics and Communication Engineering from CUSAT and a Master’s in Applied Electronics from Anna University, Chennai.

Publications

Journal Article

Year : 2023

Predominant audio source separation in polyphonic music

Cite this Research Publication : Reghunath,L.C.,Rajan,R., ”Predominant Audio Source Separation”, Eurasip Journal of Audio Speech and Music Processing 49, (2023), , Impact factor: 2.4, SJR: 0.458, Indexing: SCIE

Year : 2023

Multiple Predominant Instruments Recognition in Polyphonic Music using Spectro/Modgd-gram Fusion

Cite this Research Publication : Lekshmi C. R., Rajeev, R. “Multiple Predominant Instruments Recognition in Polyphonic Music using Spectro/Modgd-gram Fusion”, Circuits Syst Signal Process (CSSP) ,42, 3464–3484 (2023)., ,Impact factor: 2.3, SJR: 0.494, Indexing: SCIE

Year : 2022

POMET: a corpus for poetic meter classification

Cite this Research Publication : Rajan, R., ChandrikaReghunath, L. & Varghese, L.T. POMET: a corpus for poetic meter classification. Lang Resources & Evaluation 56, 1131–1152 (2022)., Impact factor: 2.7, Indexing: SCIE

Year : 2022

Transformer-based Ensemble Method for Multiple Predominant Instruments Recognition in Polyphonic Music

Cite this Research Publication : Reghunath, L C., Rajan, R., “Transformer-based Ensemble Method for Multiple Predominant Instruments Recognition in Polyphonic Music”, Eurasip Journal of Audio Speech and Music Processing (2022), Impact factor: 2.4, SJR: 0.458, Indexing: SCIE

Conference Paper

Year : 2021

Predominant Instrument Recognition in Polyphonic Music Using Convolutional Recurrent Neural Networks

Cite this Research Publication : Lekshmi.C.R. and Rajan, R., “Predominant Instruments recognition in Polyphonic music using Convolutional Recurrent Neural Networks”, in Proc. of the 15th International Symposium on CMMR, Tokyo, Japan,Nov. 15-19, 2021 ,pp 185-194

Year : 2021

Attention-based Predominant Instruments Recognition in Polyphonic Music

Cite this Research Publication : Lekshmi C. Reghunath. and Rajeev Rajan., “Attention-based Predominant Instruments Recognition in Polyphonic Music”, in Proceedings of 18th Sound and Music Computing Conference (SMC), Torino, Italy, 29 June – 01 July 2021, pp. 199–206

Book Chapter

Year : 2021

Predominant Instruments recognition in Polyphonic music using Convolutional Recurrent Neural Networks

Cite this Research Publication : Predominant Instruments recognition in Polyphonic music using Convolutional Recurrent Neural Networks”, in Proceedings of 15th International Symposium on Computer Music Multidisciplinary Research (CMMR-21), Tokyo, Japan, Nov 15 - 19, 2021, pp 185-194. In: Revised selected papers ,Music in the AI Era,. Lecture Notes in Computer Science, vol13770 . Springer, Cham

Qualifications
  • PhD : 2019-2023
    Specialization: Signal processing using deep learning
    Thesis Title: Predominant Instrument Recognition and Separation in Polyphonic Music Using Deep Learning Frameworks.
  • M.Tech : 2013
    Specialization: Applied Electronics
    Thesis Title: Color document image authentication with data repair capability.
Positions
  • Assistant Professor from 03/06/2024 to till date at Amrita Visa vidhyapeetham,Coimbatore campus
  • Worked as Assistant Professor in various engineering colleges.(Total experience: 6 years)
Awards/Honors/Recognition
  • 3rd rank in KTU Ph. D. entrance (Availed KTU CERD Fellowship-2019), 31 st rank in ME Applied electronics (2013)
Reviewers
  • IEEE Transactions on Audio
  • Speech, and Language Processing (TASLP).ISSN:1558-7916
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