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Jagannath H. Nirmal

Observed names: J H Nirmal, J. H. Nirmal, J.H. Nirmal, Jagannath H Nirmal, Jagannath Nirmal, Nirmal, Jagannath
ORCID: 0000-0001-5693-1195
Observed ORCID: 0000-0001-5693-1195
OpenAlex ID: A5031064359
A unique approach in text independent speaker recognition using MFCC feature sets and probabilistic neural network
2015 · Khan Suhail Ahmad, Anil S. Thosar, et al. · International Conference on Advances in Pattern Recognition · 73
Thomson Multitaper MFCC and PLP voice features for early detection of Parkinson disease
2018 · Savitha S. Upadhya, A.N. Cheeran, et al. · Biomedical Signal Processing and Control · 48
Voice conversion using General Regression Neural Network
2014 · Jagannath Nirmal, Mukesh Zaveri, et al. · Applied Soft Computing · 29
Human detection and tracking using image segmentation and Kalman filter
2009 · D.V. Thombre, J H Nirmal, et al. · International Conference on Intelligent Agent & Multi-Agent Systems (IAMA) · 29
A survey on computer vision approaches for automated classification of skin diseases
2024 · Pragya Gupta, Jagannath Nirmal, et al. · Multimedia Tools and Applications · 26
Discriminating Parkinson diseased and healthy people using modified MFCC filter bank approach
2019 · Savitha S. Upadhya, A. N. Cheeran, et al. · International Journal of Speech Technology · 25
Employing Energy and Statistical Features for Automatic Diagnosis of Voice Disorders
2022 · Avinash Shrivas, Shrinivas Deshpande, et al. · Diagnostics · 23
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Statistical comparison of Jitter and Shimmer voice features for healthy and Parkinson affected persons
2017 · Savitha S. Upadhya, A. N. Cheeran, et al. · International Conference on Electrical, Computer and Communication Technologies (ICECCT) · 21
Wavelet sub-band features for voice disorder detection and classification
2020 · Girish Gidaye, Jagannath Nirmal, et al. · Multimedia Tools and Applications · 16
A survey of recent advances in analysis of skin images
2024 · Pragya Gupta, Jagannath Nirmal, et al. · Evolutionary Intelligence · 13
Complex Cepstrum Based Voice Conversion Using Radial Basis Function
2014 · Jagannath Nirmal, Suprava Patnaik, et al. · ISRN Signal Processing · 13
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Custom CNN architectures for skin disease classification: binary and multi-class performance
2024 · Pragya Gupta, Jagannath Nirmal, et al. · Multimedia Tools and Applications · 10
A Comparative Performance of Various Speech Analysis-Synthesis Techniques
2014 · Ankita N. Chadha, Jagannath H. Nirmal, et al. · International Journal of Signal Processing Systems · 10
Classification of voice disorders using i-Vector analysis
2018 · Kshipra Naikare, J. H. Nirmal, et al. · International Conference on Communication Information and Computing Technology (ICCICT) · 9
A novel voice conversion approach using admissible wavelet packet decomposition
2013 · Jagannath H Nirmal, Mukesh A Zaveri, et al. · EURASIP Journal on Audio Speech and Music Processing · 9
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Application of glottal flow descriptors for pathological voice diagnosis
2020 · Girish Gidaye, Jagannath Nirmal, et al. · International Journal of Speech Technology · 8
Comparative study of voice conversion framework with line spectral frequency and Mel-Frequency Cepstral Coefficients as features using artficial neural networks
2015 · Amit Kumar Bhuyan, Jagannath H. Nirmal · International Conference on Computers, Communications, and Systems (ICCCS) · 8
Multitaper perceptual linear prediction features of voice samples to discriminate healthy persons from early stage Parkinson diseased persons
2017 · Savitha S. Upadhya, A. N. Cheeran, et al. · International Journal of Speech Technology · 7
Cepstrum liftering based voice conversion using RBF and GMM
2013 · Jagannath Nirmal, Pramod Kachare, et al. · International Conference on Communications and Signal Processing (ICCSP) · 7
Revaluating Pretraining in Small Size Training Sample Regime
2022 · Vandana Khobragade, Jagannath Nirmal, et al. · International Journal of Electrical and Electronics Research · 5
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Unified wavelet-based framework for evaluation of voice impairment
2022 · Girish Gidaye, Jagannath Nirmal, et al. · International Journal of Speech Technology · 5
Novel approach of MFCC based alignment and WD-residual modification for voice conversion using RBF
2016 · Jagannath Nirmal, Mukesh Zaveri, et al. · Neurocomputing · 5
Multilingual vocal emotion recognition and classification using back propagation neural network
2016 · Apoorva J. Kayal, Jagannath Nirmal · AIP conference proceedings · 5
A comparison of Multi-Layer Perceptron and Radial Basis Function neural network in the voice conversion framework
2014 · Ankita N. Chadha, Jagannath H. Nirmal, et al. · International Conference on Advances in Computing, Communications and Informatics (ICACCI) · 5
Multi-scale Speaker Transformation Using Radial Basis Function
2013 · Jagannath Nirmal, Suprava Patnaik, et al. · Procedia Technology · 5
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Works count: 58
Citation count: 450
H-index: 11
I10-index: 13
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