J. Nirmal

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Cepstrum based Voice Transformation using ANN

J. Nirmal, 2014 .

Concave Point Extraction: A Novel Method for WBC Segmentation in ALL Images

S. Patnaik, J. Nirmal, Vandana Khobragade, 2019 .

A unique approach in text independent speaker recognition using MFCC feature sets and probabilistic neural network

Jagannath H. Nirmal, Anil S. Thosar, Khan Suhail Ahmad, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).

Voice conversion using General Regression Neural Network

Jagannath H. Nirmal, Mukesh A. Zaveri, Suprava Patnaik, 2014, Appl. Soft Comput..

Wavelet sub-band features for voice disorder detection and classification

Jagannath Nirmal, Kadria Ezzine, Girish Gidaye, 2020, Multimedia Tools and Applications.

Classification of voice disorders using i-Vector analysis

Nikunj R. Lad, J. H. Nirmal, Kshipra D. Naikare, 2018, 2018 International Conference on Communication information and Computing Technology (ICCICT).

Statistical comparison of Jitter and Shimmer voice features for healthy and Parkinson affected persons

A. Cheeran, J. Nirmal, S. Upadhya, 2017, 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT).

Multilingual vocal emotion recognition and classification using back propagation neural network

Jagannath Nirmal, Apoorva J. Kayal, J. Nirmal, 2016, ICCS 2016.

Thomson Multitaper MFCC and PLP voice features for early detection of Parkinson disease

Jagannath H. Nirmal, Savitha S. Upadhya, Alice Cheeran, 2018, Biomed. Signal Process. Control..

Unified wavelet-based framework for evaluation of voice impairment

J. Nirmal, Kadria Ezzine, M. Frikha, 2022, International Journal of Speech Technology.

Multitaper perceptual linear prediction features of voice samples to discriminate healthy persons from early stage Parkinson diseased persons

Jagannath H. Nirmal, Savitha S. Upadhya, Alice Cheeran, 2018, Int. J. Speech Technol..

Path Planning using Reinforcement Learning: A Policy Iteration Approach

J. Nirmal, Saumil Shivdikar, 2023, ArXiv.

Voice conversion system using salient sub-bands and radial basis function

Jagannath H. Nirmal, Mukesh A. Zaveri, Suprava Patnaik, 2016, Neural Computing and Applications.

Human detection and tracking using image segmentation and Kalman filter

D.V. Thombre, J H Nirmal, Das Lekha, 2009, 2009 International Conference on Intelligent Agent & Multi-Agent Systems.

A comparison of Multi-Layer Perceptron and Radial Basis Function neural network in the voice conversion framework

Jagannath H. Nirmal, Mukesh A. Zaveri, Ankita N. Chadha, 2014, 2014 International Conference on Advances in Computing, Communications and Informatics (ICACCI).