A New Residual Convolutional Neural Network-Based Speech Improvement
Journal Title: International Journal of Innovative Research in Computer Science and Technology - Year 2022, Vol 10, Issue 6
Abstract
Among the most crucial methods for denoising a noisy voice signal and enhancing its quality is speech enhancement. This study makes use of Adaptive Residual Neural Network technique to reduces maximum off background noise. This method continuously monitors the background noise depends upon the environmental changes using SNR parameter. It has two functions first one is non linear functions followed by convolutional neural networks and second one is linearity followed due to Residual neural networks. By using these factors remove background noise even SNR is low conditions. Compared to other techniques this technique is new,fastest, requires less training and also reduces size.
Authors and Affiliations
M. Balasubrahmanyam, B. Haribabu, and P. Uday Kumar
Keywords
Related Articles
- EP ID EP746007
- DOI 10.55524/ijircst.2022.10.6.7
- Views 2
- Downloads 0
Experimental Study on the Behavior of Concrete Using Translucent Material
Energy efficient and safety of structures have gained worldwide attention in present scenario. Concrete being considered as one of the major backbone of structures can be modified in order to improve its everlasting prop...
Investigation of Impact of Temperature on Proposed Device with Reference to DIEL CYCLE.
A Proposed device designed to protect the crops not only from the birds but also it is equipped with the multiple sensors to sense and repel the wild animals also from the cropland. It is also designed to sense any kind...
A Study on Prevention of Soil Erosion in Hilly Region Using Jute Footrub Mats
Topsoil erosion is the most common issues in today’s world related to soil distresses. Soil erosion can cause contamination of drinking water, disturbs ecosystem of lakes and other water bodies and can cause landslides p...
Fabrication and Investigation on Basalt Fiber and Jute Fiber Reinforced Hybrid Composites
Composite materials are created by carefully combining two or more components to get a beneficial result. a system of materials made up of two or more physically distinct phases that, when combined, create aggregate prop...
A Comparative Study of Vehicle to Grid Application of Electric Vehicles on a Microgrid
Vehicle to Grid (V2G) technology is becoming a promising application for Electric Vehicles (EVs) in modern grids. This manuscript describes the potential benefits of V2G, its functions, the scheme of V2G and demonstrates...