| Single channel speech separation based on empirical mode decomposition and Hilbert transform PK Mundodu Krishna, K Ramaswamy IET Signal Processing 11 (5), 579-586, 2017 | 32 | 2017 |
| Prediction of Age from Speech Features Using a Multi-Layer Perceptron Model SG Sriram Ravishankar, Prasanna Kumar M K, Vinay Vasanth Patage ,Sourabh Tiwari 11th ICCCNT 2020, 2020 | 12* | 2020 |
| Single-channel speech separation using empirical mode decomposition and multi pitch information with estimation of number of speakers MK Prasanna Kumar, R Kumaraswamy International Journal of Speech Technology 20, 109-125, 2017 | 10 | 2017 |
| Single-channel speech separation using combined EMD and speech-specific information MK Prasanna Kumar, R Kumaraswamy International Journal of Speech Technology 20, 1037-1047, 2017 | 9 | 2017 |
| Effectiveness of project based learning on outcome based education-a case study MK Prasanna Kumar, S Agrawal, H Bhat Journal of Engineering Education Transformations 29 (3), 2349-2473, 2016 | 9 | 2016 |
| An unsupervised approach for co-channel speech separation using Hilbert–Huang transform and Fuzzy C-Means clustering MKP Kumar, R Kumaraswamy International Journal of Speech Technology 1 (20), 1-13, 2016 | 7 | 2016 |
| Supervised and unsupervised separation of convolutive speech mixtures using f 0 and formant frequencies MKP Kumar, R Kumaraswamy International Journal of Speech Technology 18 (4), 649-662, 2015 | 6 | 2015 |
| Introducing a ‘Modern Tool’in engineering education: An example B Kanmani, B Shreenivas, PK MK 2015 IEEE 3rd International Conference on MOOCs, Innovation and Technology …, 2015 | 4 | 2015 |
| Role of source separation using combined RPCA and block thresholding for effective speaker identification in multi source environment R Tejus, Y Nishant, S Moin, KMK Prasanna 2017 2nd IEEE International Conference on Recent Trends in Electronics …, 2017 | 3 | 2017 |
| Learning Outcomes of a National Level Project Contest. R Hegde, PK MK, G Oppiliappan Journal of Engineering Education Transformations 34 (2), 2020 | 2 | 2020 |
| Speech Separation with EMD as Front-End for Noise Robust Co-Channel Speaker Identification RK Prasanna Kumar M.K Proceedings of International Conference on Circuits, Control, Communication …, 2016 | 2* | 2016 |
| Unsupervised speech separation by detecting speaker changeover points under single channel condition MK Prasanna Kumar, R Kumaraswamy International Journal of Speech Technology 24 (4), 1101-1112, 2021 | 1 | 2021 |
| Role of Speech Separation in Verifying the Speaker Under Degraded Conditions Using EMD and Hilbert Transform MKP Kumar, R Kumaraswamy Proceedings of the International Conference on Paradigms of Communication …, 2022 | | 2022 |
| Empirical Performance Analysis of Speech Based Age Classification S Ravishankar, MKP Kumar 2021 IEEE International Conference on Electronics, Computing and …, 2021 | | 2021 |
| Learning outcomes of a national level project contest GO Rajeshwari Hegde, Prasanna Kumar M K, Suyash Bhatt International conference on transformations in engineering education, 2018 | | 2018 |
| MK Prasanna Kumar & R Kumaraswamy Int J Speech Technol 20, 109-125, 2017 | | 2017 |
| Role of f0 and formant frequencies in unsupervised separation of convolutive speech mixtures MKP Kumar, R Kumaraswamy 2015 International Conference on Applied and Theoretical Computing and …, 2015 | | 2015 |
| Detection and separation of the sources from underdetermined instantaneous mixtures without estimating the inverse mixing matrix PKMK Kumaraswamy R Communications and Signal Processing (ICCSP), 2015 International Conference …, 2015 | | 2015 |
| STFT based Blind Separation of Underdetermined Speech Mixtures PK Prasanna Kumar M K International Journal of Computer Applications 3, 10-13, 2013 | | 2013 |
| Speech Separation Based on Time Frequency Ratio of Mixtures and Track Identification MK Prasanna Kumar Proceedings of the Fourth International Conference on Signal and Image …, 2013 | | 2013 |
