Dr. Yechuri Sivaramakrishna

Papers Published

1. Yecchuri, Sivaramakrishna, and Sunny Dayal Vanambathina. “Sub-convolutional U-Net with transformer attention network for end-to-end single-channel speech enhancement.” EURASIP Journal on Audio, Speech, and Music Processing 2024, no. 1 (2024): 8.

2. Yechuri, Sivaramakrishna, and Sunnydayal Vanambathina. “A Subconvolutional U-net with Gated Recurrent Unit and Efficient Channel Attention Mechanism for Real-Time Speech Enhancement.” Wireless Personal Communications (2024): 1-19.

3. Yechuri, Sivaramakrishna, and Sunnydayal Vanambathina. “A nested U-net with efficient channel attention and D3Net for speech enhancement.” Circuits, Systems, and Signal Processing 42, no. 7 (2023): 4051-4071.

4.Yechuri, Sivaramakrishna, and Sunnydayal Vanambathina. “Single channel speech enhancement using iterative constrained NMF based adaptive wiener gain.” Multimedia Tools and Applications (2023): 1-22.

5. Yechuri, Sivaramakrishna, and Sunny Dayal Vanabathina. “Speech Enhancement: A Review of Different Deep Learning Methods.” International Journal of Image and Graphics (2023): 2550024.

6. Yechuri, Sivaramakrishna, and Sunny Dayal Vanabathina. “Genetic algorithm-based adaptive wiener gain for speech enhancement using an iterative posterior nmf.” International Journal of Image and Graphics 23, no. 06 (2023): 2350054.

7.Yechuri, Sivaramakrishna, and Sunny Dayal Vanambathina. “An iterative posterior regularized nmf-based adaptive wiener filter for speech enhancement.” In Machine Learning, Image Processing, Network Security and Data Sciences: Select Proceedings of 3rd International Conference on MIND 2021, pp. 575-586. Singapore: Springer Nature Singapore, 2023.

8. Yechuri, Sivaramakrishna, and Sunnydayal Vanambathina. “ATNSCUNet: Adaptive Transformer Network based Sub-Convolutional U-Net for Single channel Speech Enhancement.” In 2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC), pp. 138-143. IEEE, 2023.

9. Tandra, Nagarjuna, S. Jyothirmaye, and Sivaramakrishna Yechuri. “TNU-Net: Water Body Segmentation based on the Transformer Network with U-Net Model.” In 2023 6th International Conference on Recent Trends in Advance Computing (ICRTAC), pp. 205-211. IEEE, 2023.

10. Yechuri, Sivaramakrishna, and Sunnydayal Vanambathina. “A U-net with Gated Recurrent Unit and Efficient Channel Attention Mechanism for Real-time Speech Enhancement.” In 2022 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), pp. 363-368. IEEE, 2022.

Subjects Taught

1. Signals and Systems
2. Analog and Digital communications
3. Digital System Design
4. Digital Signal Processing
5. Control Systems
6. Wireless and Mobile communications

Books Published