Jagannath H. Nirmal

Orcid: 0000-0001-5693-1195

According to our database1, Jagannath H. Nirmal authored at least 14 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2022
Correction to: Unified wavelet-based framework for evaluation of voice impairment.
Int. J. Speech Technol., 2022

Unified wavelet-based framework for evaluation of voice impairment.
Int. J. Speech Technol., 2022

2020
Wavelet sub-band features for voice disorder detection and classification.
Multim. Tools Appl., 2020

Application of glottal flow descriptors for pathological voice diagnosis.
Int. J. Speech Technol., 2020

2019
Discriminating Parkinson diseased and healthy people using modified MFCC filter bank approach.
Int. J. Speech Technol., 2019

2018
Multitaper perceptual linear prediction features of voice samples to discriminate healthy persons from early stage Parkinson diseased persons.
Int. J. Speech Technol., 2018

Thomson Multitaper MFCC and PLP voice features for early detection of Parkinson disease.
Biomed. Signal Process. Control., 2018

2017
Novel approach of MFCC based alignment and WD-residual modification for voice conversion using RBF.
Neurocomputing, 2017

2016
Voice conversion system using salient sub-bands and radial basis function.
Neural Comput. Appl., 2016

2015
A unique approach in text independent speaker recognition using MFCC feature sets and probabilistic neural network.
Proceedings of the Eighth International Conference on Advances in Pattern Recognition, 2015

Glottal pathology discrimination using ANN and SVM.
Proceedings of the 2015 International Conference on Advances in Computing, 2015

2014
Voice conversion using General Regression Neural Network.
Appl. Soft Comput., 2014

A comparison of Multi-Layer Perceptron and Radial Basis Function neural network in the voice conversion framework.
Proceedings of the 2014 International Conference on Advances in Computing, 2014

2013
A novel voice conversion approach using admissible wavelet packet decomposition.
EURASIP J. Audio Speech Music. Process., 2013


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