Name : Dr. Lekshmi C. R
Designation: Assistant Professor
Qualification: PhD in signal processing using deep learning frameworks.
Experience: 5 years
Mail id: [email protected]
Conferences
[1] Lekshmi C.Reghunath. and Rajeev Rajan, “Attention -Based Predominant Instruments Recognition in Polyphonic Music”, in Proc.of 2021 18th Sound and Music Computing Conference (SMC) ), Torino, Italy, 2021, pp 199-206, DO1 10.528/zenodo.5043841.
[2] 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, Lecture Notes in Computer Science, vol 13770 . Springer, DOI:10.007/978-3-031-35382-6_171.
Journals
[1] 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, 11 (2022), DOI : 10.1186/s13636-022-00245-8.
[2] Rajan, R., Chandrika Reghunath, L. Varghese, L.T., POMET: a corpus for poetic meter classification. Lang Resources Evaluation (2022), Springer, 2022,DOI : 10.1007/s10579-022- 09604-5.
[3] Reghunath,L.C.,Rajan,R., ”Multiple Predominant Instruments Recognition in Polyphonic Music using Spectro/Modgd-gram Fusion”, Circuits System and Signal Process (2023), (CSSP). DOI: 10.1007/s00034-022-02278-y.
[4] Reghunath,L.C.,Rajan,R., ”Predominant Audio Source Separation”, Eurasip Journal of Audio Speech and Music Processing, 20232, 49 (2023).DOI: 10.1186/s13636-023-00316-4.