Automated dysarthria severity classification: A study on acoustic features and deep learning techniques AA Joshy, R Rajan IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 1147-1157, 2022 | 57 | 2022 |
Automated dysarthria severity classification using deep learning frameworks AA Joshy, R Rajan 2020 28th European Signal Processing Conference (EUSIPCO), 116-120, 2021 | 52 | 2021 |
Multi-label bird species classification from audio recordings using attention framework A Noumida, R Rajan Applied Acoustics 197, 108901, 2022 | 31 | 2022 |
Group delay based melody monopitch extraction from music R Rajan, HA Murthy 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 24 | 2013 |
Music genre classification by fusion of modified group delay and melodic features R Rajan, HA Murthy 2017 Twenty-third National Conference on Communications (NCC), 1-6, 2017 | 22 | 2017 |
Multi-label bird species classification using transfer learning R Rajan, A Noumida 2021 International Conference on Communication, Control and Information …, 2021 | 21 | 2021 |
Dysarthria severity classification using multi-head attention and multi-task learning AA Joshy, R Rajan Speech Communication 147, 1-11, 2023 | 20 | 2023 |
Vehicle detection and classification using audio-visual cues P Piyush, R Rajan, L Mary, BI Koshy 2016 3rd International Conference on Signal Processing and Integrated …, 2016 | 20 | 2016 |
Dysarthria severity assessment using squeeze-and-excitation networks AA Joshy, R Rajan Biomedical Signal Processing and Control 82, 104606, 2023 | 19 | 2023 |
Two-pitch tracking in co-channel speech using modified group delay functions R Rajan, HA Murthy Speech Communication 89, 37-46, 2017 | 19 | 2017 |
Deep learning-based automatic bird species identification from isolated recordings A Noumida, R Rajan 2021 8th International Conference on Smart Computing and Communications …, 2021 | 18 | 2021 |
Transformer-based ensemble method for multiple predominant instruments recognition in polyphonic music LC Reghunath, R Rajan EURASIP Journal on Audio, Speech, and Music Processing 2022 (1), 11, 2022 | 17 | 2022 |
Predominant instrument recognition in polyphonic music using gmm-dnn framework R Ajayakumar, R Rajan 2020 International Conference on Signal Processing and Communications (SPCOM …, 2020 | 16 | 2020 |
Deep neural network based poetic meter classification using musical texture feature fusion R Rajan, AA Raju 2019 27th European Signal Processing Conference (EUSIPCO), 1-5, 2019 | 14 | 2019 |
Mlphon: A multifunctional grapheme-phoneme conversion tool using finite state transducers K Manohar, AR Jayan, R Rajan IEEE Access 10, 97555-97575, 2022 | 13 | 2022 |
Bird call classification using dnn-based acoustic modelling R Rajan, J Johnson, N Abdul Kareem Circuits, Systems, and Signal Processing 41 (5), 2669-2680, 2022 | 13 | 2022 |
Poetic meter classification using acoustic cues R Rajan, AA Raju 2018 International Conference on Signal Processing and Communications (SPCOM …, 2018 | 12 | 2018 |
Feature diversity for emotion, language and speaker verification S Dey, R Rajan, R Padmanabhan, HA Murthy 2011 national conference on communications (NCC), 1-5, 2011 | 12 | 2011 |
Design and Development of a Multi-lingual Speech Corpora (TaMaR-EmoDB) for Emotion Analysis RTM Rajeev Rajan, Haritha U.G, Sujitha A.C Interspeech 2019, 3267--3271, 2019 | 10 | 2019 |
Melodic pitch extraction from music signals using modified group delay functions R Rajan, HA Murthy 2013 National Conference on Communications (NCC), 1-5, 2013 | 10 | 2013 |