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Dr.Sunnydayal Vanambathina
Dr.Sunnydayal Vanambathina
Associate Professor
Verified email at vitap.ac.in
Title
Cited by
Cited by
Year
A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations
HK Kondaveeti, NK Kumaravelu, SD Vanambathina, SE Mathe, ...
Computer Science Review 40, 100364, 2021
2312021
A survey on statistical based single channel speech enhancement techniques
V Sunnydayal, N Sivaprasad, TK Kumar
International Journal of Intelligent Systems and Applications 6 (12), 69, 2014
122014
Speech enhancement using posterior regularized NMF with bases update
V Sunnydayal
Computers & Electrical Engineering 62, 663-675, 2017
102017
An iterative posterior NMF method for speech enhancement in the presence of additive Gaussian noise
K Kumar, S Cruces
Neurocomputing 230, 312-315, 2017
92017
A Nested U-Net with Efficient Channel Attention and D3Net for Speech Enhancement
S Yechuri, S Vanambathina
Circuits, Systems, and Signal Processing 42, 2023
72023
Speech enhancement using sub-band wiener filter with pitch synchronous analysis
V Sunnydayal, TK Kumar
2013 International Conference on Advances in Computing, Communications and …, 2013
62013
Shuffle Attention U-Net for Speech Enhancement in Time Domain
SDV Chaitanya Jannu
International Journal of Image and Graphics, 2023
52023
Speech enhancement by Bayesian estimation of clean speech modeled as super Gaussian given a priori knowledge of phase
S Vanambathina, TK Kumar
Speech Communication 77, 8-27, 2016
52016
Weibull and Nakagami speech priors based regularized NMF with adaptive wiener filter for speech enhancement
SV Chaitanya Jannu
International Journal of Speech Technology, 2023
42023
Speech enhancement using an iterative posterior nmf
S Vanambathina
New Front. Brain-Comput. Interfaces, 1-18, 2020
42020
Bayesian estimation for speech enhancement given a priori knowledge of clean speech phase
V Sunnydayal, TK Kumar
International Journal of Speech Technology 18, 593-607, 2015
32015
Multi-stage Progressive Learning-Based Speech Enhancement Using Time–Frequency Attentive Squeezed Temporal Convolutional Networks
S Jannu Chaitanya
Circuits, Systems, and Signal Processing 42, 2023
22023
An attention based densely connected U-NET with convolutional GRU for speech enhancement
C Jannu, SD Vanambathina
2023 3rd International conference on Artificial Intelligence and Signal …, 2023
22023
Convolutional GRU networks based singing voice separation
H Harsh, A Indraganti, SD Vanambathina, BSY Ramanam, VS Chandu, ...
2022 2nd International Conference on Artificial Intelligence and Signal …, 2022
22022
Speech enhancement using adaptive Kalman filter combined with perceptual weighting filter
M Balasubrahmanyam, V SunnyDayal
IOSR journal of engineering (IOSRJEN) 2 (11), 2012
22012
Single Channel Speech Enhancement using Iterative constrained NMF based Adaptive Wiener Gain
S Sivarama Krishna
Multimedia Tools and Applications, 2023
12023
An Overview of Speech Enhancement Based on Deep Learning Techniques
SDV Chaitanya Jannu
International Journal of Image and Graphics, 2023
12023
DCT based densely connected convolutional GRU for real-time speech enhancement
SV Jannu Chaitanya
Journal of Intelligent & Fuzzy Systems 45, 2023
1*2023
Convolutional Transformer based Local and Global Feature Learning for Speech Enhancement
SV Chaitanya Jannu
International Journal of Advanced Computer Science and Applications (IJACSA …, 2023
1*2023
Plant Disease Classification Using Deep Learning Techniques
HK Kondaveeti, CG Simhadri, SE Mathe, SD Vanambathina
Effective AI, Blockchain, and E-Governance Applications for Knowledge …, 2023
12023
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