Follow
Dr. Jagannath Nirmal
Dr. Jagannath Nirmal
Professor
Verified email at somaiya.edu
Title
Cited by
Cited by
Year
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
1002015
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
382018
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
322014
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
192019
Complex cepstrum based voice conversion using radial basis function
J Nirmal, S Patnaik, M Zaveri, P Kachare
International Scholarly Research Notices 2014, 2014
162014
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
152014
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
142017
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
132013
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
82020
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
82014
Voice transformation using radial basis function
JH Nirmal, S Patnaik, MA Zaveri
Proceedings of the Third International Conference on Trends in Information …, 2013
82013
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
72020
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
72018
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
72015
Classification of voice disorders using i-vector analysis
K Naikare, JH Nirmal, N Lad
2018 International Conference on Communication information and Computing …, 2018
62018
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
62013
Multilingual vocal emotion recognition and classification using back propagation neural network
AJ Kayal, J Nirmal
AIP conference Proceedings 1715 (1), 2016
52016
Multi-scale speaker transformation using radial basis function
J Nirmal, S Patnaik, M Zaveri, P Kachare
Procedia Technology 10, 311-319, 2013
52013
The system can't perform the operation now. Try again later.
Articles 1–20