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Gayadhar Pradhan
Gayadhar Pradhan
Associate Professor, Department of ECE, National Institute of Technology Patna, India
Verified email at nitp.ac.in - Homepage
Title
Cited by
Cited by
Year
A New ECG Denoising Framework Using Generative Adversarial Network
P Singh, G Pradhan
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2020
932020
Significance of vowel-like regions for speaker verification under degraded conditions
SRM Prasanna, G Pradhan
IEEE Transactions on Audio, Speech, and Language Processing 19 (8), 2552-2565, 2011
902011
Denoising of ECG signal by non-local estimation of approximation coefficients in DWT
P Singh, G Pradhan, S Shahnawazuddin
Biocybernetics and Biomedical Engineering 37 (3), 599-610, 2017
872017
Speaker Verification by Vowel and Nonvowel like Segmentation
G Pradhan, SRM Prasanna
IEEE Transactions on Audio, Speech, and Language Processing 21 (4), 854-867, 2013
792013
DNN-HMM-based speaker-adaptive emotion recognition using MFCC and epoch-based features
MS Fahad, A Deepak, G Pradhan, J Yadav
Circuits, Systems, and Signal Processing 40 (1), 466-489, 2021
692021
Variational mode decomposition based ECG denoising using non-local means and wavelet domain filtering
P Singh, G Pradhan
Australasian physical & engineering sciences in medicine 41, 891-904, 2018
562018
Multivariability speaker recognition database in Indian scenario
BC Haris, G Pradhan, A Misra, SRM Prasanna, RK Das, R Sinha
International Journal of Speech Technology 15, 441-453, 2012
502012
Multi-variability speech database for robust speaker recognition
BC Haris, G Pradhan, A Misra, S Shukla, R Sinha, SRM Prasanna
2011 National Conference on Communications (NCC), 1-5, 2011
472011
Addressing noise and pitch sensitivity of speech recognition system through variational mode decomposition based spectral smoothing
IC Yadav, S Shahnawazuddin, G Pradhan
Digital Signal Processing 86, 55-64, 2019
402019
An efficient ECG denoising technique based on non-local means estimation and modified empirical mode decomposition
P Singh, S Shahnawazuddin, G Pradhan
Circuits, Systems, and Signal Processing 37, 4527-4547, 2018
362018
A dual-time transform assisted intelligent relaying scheme for the STATCOM-compensated transmission line connecting wind farm
S Biswas, PK Nayak, G Pradhan
IEEE Systems Journal 16 (2), 2160-2171, 2021
292021
Improvements in the detection of vowel onset and offset points in a speech sequence
A Kumar, S Shahnawazuddin, G Pradhan
Circuits, systems, and signal processing 36, 2315-2340, 2017
272017
Detection of three‐phase fault during power swing using zero frequency filtering
P MS, PK Nayak, G Pradhan
International Transactions on Electrical Energy Systems 29 (1), e2700, 2019
232019
Non-Local Estimation of Speech Signal for Vowel Onset Point Detection in Varied Environments.
A Kumar, S Shahnawazuddin, G Pradhan
INTERSPEECH, 429-433, 2017
232017
Pitch-normalized acoustic features for robust children's speech recognition
S Shahnawazuddin, R Sinha, G Pradhan
IEEE Signal Processing Letters 24 (8), 1128-1132, 2017
212017
Enhancing noise and pitch robustness of children's ASR
S Shahnawazuddin, KT Deepak, G Pradhan, R Sinha
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
212017
Speaker verification under degraded condition: a perceptual study
G Pradhan, SRM Prasanna
International Journal of Speech Technology 14, 405-417, 2011
212011
An intelligent fault detection and classification technique based on variational mode decomposition-CNN for transmission lines installed with UPFC and wind farm
S Biswas, PK Nayak, BK Panigrahi, G Pradhan
Electric Power Systems Research 223, 109526, 2023
192023
Spectral smoothing by variationalmode decomposition and its effect on noise and pitch robustness of ASR system
IC Yadav, S Shahnawazuddin, D Govind, G Pradhan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
192018
Significance of modified empirical mode decomposition for ECG denoising
P Singh, S Shahnawazuddin, G Pradhan
2017 39th Annual International Conference of the IEEE Engineering in …, 2017
192017
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