| Parkinson disease prediction using intrinsic mode function based features from speech signal B Karan, SS Sahu, K Mahto Biocybernetics and Biomedical Engineering 40 (1), 249-264, 2020 | 127 | 2020 |
| Non-negative matrix factorization-based time-frequency feature extraction of voice signal for Parkinson's disease prediction B Karan, SS Sahu, JR Orozco-Arroyave, K Mahto Computer Speech & Language 69, 101216, 2021 | 47 | 2021 |
| Hilbert spectrum analysis for automatic detection and evaluation of Parkinson’s speech B Karan, SS Sahu, JR Orozco-Arroyave, K Mahto Biomedical Signal Processing and Control 61, 102050, 2020 | 45 | 2020 |
| Signal analysis of Hindustani classical music AK Datta, SS Solanki, R Sengupta, S Chakraborty, K Mahto, A Patranabis Springer Singapore, 2017 | 44 | 2017 |
| A Statistical Analysis of Raga Ahir Bhairav. S Chakraborty, R Ranganayakulu, S Chauhan, SS Solanki, K Mahto Journal of Music & Meaning 8 (2), 2009 | 27 | 2009 |
| Stacked auto-encoder based Time-frequency features of Speech signal for Parkinson disease prediction B Karan, SS Sahu, K Mahto 2020 International Conference on Artificial Intelligence and Signal …, 2020 | 17 | 2020 |
| Detection of Parkinson disease using variational mode decomposition of speech signal B Karan, K Mahto, SS Sahu 2018 International Conference on Communication and Signal Processing (ICCSP …, 2018 | 14 | 2018 |
| Melody revisited: tips from Indian music theory S Chakraborty, L Kolla Krishnapriya, S Chauhan, SS Solanki, K Mahto INTERNATIONAL JOURNAL OF COMPUTATIONAL COGNITION (HTTP://WWW. IJCC. US) 8 (3), 2010 | 13 | 2010 |
| A statistical approach to modeling indian classical music performance S Chakraborty, SS Solanki, S Roy, S Chauhan, SS Tripathy, K Mahto arXiv preprint arXiv:0809.3214, 2008 | 12 | 2008 |
| A study on artist similarity using projection pursuit and MFCC: identification of Gharana from Raga performance K Mahto, A Hotta, SS Solanki, S Chakraborty 2014 International Conference on Computing for Sustainable Global …, 2014 | 7 | 2014 |
| Automatic musical instrument recognition AK Datta, SS Solanki, R Sengupta, S Chakraborty, K Mahto, A Patranabis, ... Signal Analysis of Hindustani Classical Music, 167-232, 2017 | 6 | 2017 |
| Music information retrieval AK Datta, SS Solanki, R Sengupta, S Chakraborty, K Mahto, A Patranabis, ... Signal Analysis of Hindustani Classical Music, 17-33, 2017 | 4 | 2017 |
| An interesting comparison between a morning raga with an evening one using graphical statistics S Chakraborty, R Ranganayakulu, S Chauhan, SS Solanki, K Mahto Philomusica on-line 7 (1), 1-6, 2008 | 4 | 2008 |
| Given a raga recording, can we scientifically verify which school of Vadi-Samvadi selection is supported by the artist? S Chakraborty, R Ranganayakulu, S Chauhan, SS Solanki, K Mahto Intern J Comput Techn 4 (2), 2013 | 3 | 2013 |
| Intelligent Speech Processing in the Time-Frequency Domain B Karan, K Mahto, SS Sahu Intelligent Speech Signal Processing, 153-173, 2019 | 2 | 2019 |
| Automatic extractions of notes and their onsets from Indian classical music signal K Mahto, SS Solanki, S Chakraborty Int J Appl Eng Res 9, 21, 2014 | 2 | 2014 |
| Characteristic Analysis and Pattern Recognition of Arc Sound Under Typical Penetration Status in Mig Welding P Kumari, K Mahto Proceedings of the Fourth International Conference on Microelectronics …, 2021 | 1 | 2021 |
| Gharana Identification AK Datta, SS Solanki, R Sengupta, S Chakraborty, K Mahto, A Patranabis, ... Signal Analysis of Hindustani Classical Music, 125-141, 2017 | 1 | 2017 |
| Which notes are Vadi-Samvadi in Raga Rageshree? S Chakraborty, R Ranganayakulu, S Chauhan, SS Solanki, K Mahto arXiv preprint arXiv:0812.0706, 2008 | 1 | 2008 |
| An approach to finding the most suitable algorithm for noise reduction in a Neonatal cry signal DH Mundri, SS Solanki, K Mahto 2023 14th International Conference on Computing Communication and Networking …, 2023 | | 2023 |
