A unique approach in text independent speaker recognition using MFCC feature sets and probabilistic neural network KS Ahmad, AS Thosar, JH Nirmal, VS Pande 2015 Eighth International Conference on Advances in Pattern Recognition …, 2015 | 100 | 2015 |
Thomson Multitaper MFCC and PLP voice features for early detection of Parkinson disease SS Upadhya, AN Cheeran, JH Nirmal Biomedical Signal Processing and Control 46, 293-301, 2018 | 38 | 2018 |
Human detection and tracking using image segmentation and Kalman filter DL DV Thombre, JH Nirmal Intelligent Agent & Multi-Agent Systems, 2009. IAMA 2009. International …, 2009 | 38* | 2009 |
Voice conversion using general regression neural network J Nirmal, M Zaveri, S Patnaik, P Kachare Applied Soft Computing 24, 1-12, 2014 | 32 | 2014 |
Discriminating Parkinson diseased and healthy people using modified MFCC filter bank approach SS Upadhya, AN Cheeran, JH Nirmal International Journal of Speech Technology 22 (4), 1021-1029, 2019 | 19 | 2019 |
Complex cepstrum based voice conversion using radial basis function J Nirmal, S Patnaik, M Zaveri, P Kachare International Scholarly Research Notices 2014, 2014 | 16 | 2014 |
A comparative performance of various speech analysis-synthesis techniques AN Chadha, JH Nirmal, P Kachare International Journal of Signal Processing Systems 2 (1), 17-22, 2014 | 15 | 2014 |
Statistical comparison of Jitter and Shimmer voice features for healthy and Parkinson affected persons SS Upadhya, AN Cheeran, JH Nirmal 2017 second international conference on electrical, computer and …, 2017 | 14 | 2017 |
Cepstrum liftering based voice conversion using RBF and GMM J Nirmal, P Kachare, S Patnaik, M Zaveri 2013 International Conference on Communication and Signal Processing, 570-575, 2013 | 13 | 2013 |
A Novel Voice Conversion Approach Using Admissible Wavelet Packet Decomposition SPPK Jagannath Nirmal, Mukesh Zaveri EURASIP Journal on Audio, Speech, and Music Processing, Springer 28 (1), 1-10, 0 | 12* | |
Application of glottal flow descriptors for pathological voice diagnosis G Gidaye, J Nirmal, K Ezzine, A Shrivas, M Frikha International Journal of Speech Technology 23, 205-222, 2020 | 8 | 2020 |
A comparison of Multi-Layer Perceptron and Radial Basis Function neural network in the voice conversion framework AN Chadha, JH Nirmal, MA Zaveri 2014 International Conference on Advances in Computing, Communications and …, 2014 | 8 | 2014 |
Voice transformation using radial basis function JH Nirmal, S Patnaik, MA Zaveri Proceedings of the Third International Conference on Trends in Information …, 2013 | 8 | 2013 |
Wavelet sub-band features for voice disorder detection and classification G Gidaye, J Nirmal, K Ezzine, M Frikha Multimedia Tools and Applications 79, 28499-28523, 2020 | 7 | 2020 |
Multitaper perceptual linear prediction features of voice samples to discriminate healthy persons from early stage Parkinson diseased persons SS Upadhya, AN Cheeran, JH Nirmal International Journal of Speech Technology 21, 391-399, 2018 | 7 | 2018 |
Comparative study of voice conversion framework with line spectral frequency and Mel-Frequency Cepstral Coefficients as features using artficial neural networks AK Bhuyan, JH Nirmal 2015 International Conference on Computers, Communications, and Systems …, 2015 | 7 | 2015 |
Classification of voice disorders using i-vector analysis K Naikare, JH Nirmal, N Lad 2018 International Conference on Communication information and Computing …, 2018 | 6 | 2018 |
Line spectral pairs based voice conversion using radial basis function JH Nirmal, S Patnaik, MA Zaveri International Journal on Signal and Image Processing 4 (2), 26, 2013 | 6 | 2013 |
Multilingual vocal emotion recognition and classification using back propagation neural network AJ Kayal, J Nirmal AIP conference Proceedings 1715 (1), 2016 | 5 | 2016 |
Multi-scale speaker transformation using radial basis function J Nirmal, S Patnaik, M Zaveri, P Kachare Procedia Technology 10, 311-319, 2013 | 5 | 2013 |