V. Sunnydayal

According to our database, V. Sunnydayal authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Sub-convolutional U-Net with transformer attention network for end-to-end single-channel speech enhancement.

Sivaramakrishna Yechuri, Sunny Dayal Vanambathina

EURASIP J. Audio Speech Music. Process., December, 2024

A Multi-scale Subconvolutional U-Net with Time-Frequency Attention Mechanism for Single Channel Speech Enhancement.

Sivaramakrishna Yechuri, Thirupathi Rao Komati, Rama Krishna Yellapragada, Sunnydayal Vanambathina

Circuits Syst. Signal Process., September, 2024

Shuffle Attention U-Net for Speech Enhancement in Time Domain.

Chaitanya Jannu, Sunny Dayal Vanambathina

Int. J. Image Graph., July, 2024

Real time speech enhancement using densely connected neural networks and Squeezed temporal convolutional modules.

Sunny Dayal Vanambathina, Manaswini Burra, Bhumika Edupalli, Eswar Reddy Vallem, Venkata Sravani Nellore

Multim. Tools Appl., May, 2024

Single channel speech enhancement using iterative constrained NMF based adaptive wiener gain.

Sivaramakrishna Yechuri, Sunnydayal Vanambathina

Multim. Tools Appl., March, 2024

A comprehensive review on applications of Raspberry Pi.

Sudha Ellison Mathe, Hari Kishan Kondaveeti, Suseela Vappangi, Sunny Dayal Vanambathina, Nandeesh Kumar Kumaravelu

Comput. Sci. Rev., 2024

2023

Convolutional gated recurrent unit networks based real-time monaural speech enhancement.

Sunny Dayal Vanambathina, Vaishnavi Anumola, Ponnapalli Tejasree, R. Divya, B. Manaswini

Multim. Tools Appl., December, 2023

Multi-stage Progressive Learning-Based Speech Enhancement Using Time-Frequency Attentive Squeezed Temporal Convolutional Networks.

Chaitanya Jannu, Sunny Dayal Vanambathina

Circuits Syst. Signal Process., December, 2023

A Nested U-Net with Efficient Channel Attention and D3Net for Speech Enhancement.

Sivaramakrishna Yechuri, Sunnydayal Vanambathina

Circuits Syst. Signal Process., July, 2023

Weibull and Nakagami speech priors based regularized NMF with adaptive wiener filter for speech enhancement.

Chaitanya Jannu, Sunny Dayal Vanambathina

Int. J. Speech Technol., March, 2023

DCT based densely connected convolutional GRU for real-time speech enhancement.

Chaitanya Jannu, Sunny Dayal Vanambathina

J. Intell. Fuzzy Syst., 2023

2022

A U-net with Gated Recurrent Unit and Efficient Channel Attention Mechanism for Real-time Speech Enhancement.

Sivaramakrishna Yechuri, Sunnydayal Vanambathina

Proceedings of the IEEE International Conference on Advanced Networks and Telecommunications Systems, 2022

2021

A systematic literature review on prototyping with Arduino: Applications, challenges, advantages, and limitations.

Hari Kishan Kondaveeti, Nandeesh Kumar Kumaravelu, Sunny Dayal Vanambathina, Sudha Ellison Mathe, Suseela Vappangi

Comput. Sci. Rev., 2021

2017

Sparse NMF based speech enhancement with bases update.

V. Sunnydayal, N. Siva Prasad, S. Ravishankar, Sudeep Surendran, N. K. Ragesh

Int. J. Speech Technol., 2017

An iterative posterior NMF method for speech enhancement in the presence of additive Gaussian noise.

Sunnydayal Vanambathina, T. Kishore Kumar, Sergio Cruces

Neurocomputing, 2017

Speech enhancement using posterior regularized NMF with bases update.

V. Sunnydayal, T. Kishore Kumar

Comput. Electr. Eng., 2017

2016

Speech enhancement by Bayesian estimation of clean speech modeled as super Gaussian given a priori knowledge of phase.

Sunnydayal Vanambathina, T. Kishore Kumar

Speech Commun., 2016

2015

Bayesian estimation for speech enhancement given a priori knowledge of clean speech phase.

V. Sunnydayal, T. Kishore Kumar

Int. J. Speech Technol., 2015

2013

Speech enhancement using sub-band wiener filter with pitch synchronous analysis.

V. Sunnydayal, T. Kishore Kumar

Proceedings of the International Conference on Advances in Computing, 2013