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Jagannath H. Nirmal
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2020 – today
- 2022
- [j11]Girish Gidaye, Jagannath H. Nirmal, Kadria Ezzine, Mondher Frikha:
Unified wavelet-based framework for evaluation of voice impairment. Int. J. Speech Technol. 25(2): 527-548 (2022) - [j10]Girish Gidaye, Jagannath H. Nirmal, Kadria Ezzine, Mondher Frikha:
Correction to: Unified wavelet-based framework for evaluation of voice impairment. Int. J. Speech Technol. 25(2): 549 (2022) - 2020
- [j9]Girish Gidaye, Jagannath H. Nirmal, Kadria Ezzine, Avinash Shrivas, Mondher Frikha:
Application of glottal flow descriptors for pathological voice diagnosis. Int. J. Speech Technol. 23(1): 205-222 (2020) - [j8]Girish Gidaye, Jagannath H. Nirmal, Kadria Ezzine, Mondher Frikha:
Wavelet sub-band features for voice disorder detection and classification. Multim. Tools Appl. 79(39-40): 28499-28523 (2020)
2010 – 2019
- 2019
- [j7]Savitha S. Upadhya, Alice Cheeran, Jagannath H. Nirmal:
Discriminating Parkinson diseased and healthy people using modified MFCC filter bank approach. Int. J. Speech Technol. 22(4): 1021-1029 (2019) - 2018
- [j6]Savitha S. Upadhya, Alice Cheeran, Jagannath H. Nirmal:
Thomson Multitaper MFCC and PLP voice features for early detection of Parkinson disease. Biomed. Signal Process. Control. 46: 293-301 (2018) - [j5]Savitha S. Upadhya, Alice Cheeran, Jagannath H. Nirmal:
Multitaper perceptual linear prediction features of voice samples to discriminate healthy persons from early stage Parkinson diseased persons. Int. J. Speech Technol. 21(3): 391-399 (2018) - 2017
- [j4]Jagannath H. Nirmal, Mukesh A. Zaveri, Suprava Patnaik, Pramod H. Kachare:
Novel approach of MFCC based alignment and WD-residual modification for voice conversion using RBF. Neurocomputing 237: 39-49 (2017) - 2016
- [j3]Jagannath H. Nirmal, Mukesh A. Zaveri, Suprava Patnaik, Pramod H. Kachare:
Voice conversion system using salient sub-bands and radial basis function. Neural Comput. Appl. 27(8): 2615-2628 (2016) - 2015
- [c3]Ashwini Visave, Pramod H. Kachare, Amutha Jeyakumar, Alice Cheeran, Jagannath H. Nirmal:
Glottal pathology discrimination using ANN and SVM. ICACCI 2015: 1377-1381 - [c2]Khan Suhail Ahmad, Anil S. Thosar, Jagannath H. Nirmal, Vinay S. Pande:
A unique approach in text independent speaker recognition using MFCC feature sets and probabilistic neural network. ICAPR 2015: 1-6 - 2014
- [j2]Jagannath H. Nirmal, Mukesh A. Zaveri, Suprava Patnaik, Pramod H. Kachare:
Voice conversion using General Regression Neural Network. Appl. Soft Comput. 24: 1-12 (2014) - [c1]Ankita N. Chadha, Jagannath H. Nirmal, Mukesh A. Zaveri:
A comparison of Multi-Layer Perceptron and Radial Basis Function neural network in the voice conversion framework. ICACCI 2014: 1045-1052 - 2013
- [j1]Jagannath H. Nirmal, Mukesh A. Zaveri, Suprava Patnaik, Pramod H. Kachare:
A novel voice conversion approach using admissible wavelet packet decomposition. EURASIP J. Audio Speech Music. Process. 2013: 28 (2013)
Coauthor Index
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