Denoising induction motor sounds using an autoencoder
Denoising sound is essential for improving signal quality in various applications such as
speech processing, sound event classification, and machine failure detection systems. This …
speech processing, sound event classification, and machine failure detection systems. This …
A Comprehensive Approach for Denoising and Securing Audio Data with U-Net and Kyber
This paper introduces a comprehensive methodology for denoising audio datasets through
the utilization of the U-shaped neural network (U-Net) architecture, leading to notable …
the utilization of the U-shaped neural network (U-Net) architecture, leading to notable …
Multi‐band Approach to Deep Learning‐Based Artificial Stereo Extension
In this paper, an artificial stereo extension method that creates stereophonic sound from a
mono sound source is proposed. The proposed method first trains deep neural networks …
mono sound source is proposed. The proposed method first trains deep neural networks …
A Comparative Analysis on Speech Enhancement and Coding Techniques
HC Vinay, P Lavanya, AA Hippargi… - … on Recent Trends …, 2021 - ieeexplore.ieee.org
The speech data is usually a degraded speech data, which is a combination of clean speech
and various noises like vocal, animal noise, instrumental noise and speech from other …
and various noises like vocal, animal noise, instrumental noise and speech from other …
[PDF][PDF] International Journal of Trend in Scientific Research and Development (IJTSRD)
VDB Tr - Journal of Computer Systems (ISSN: 2394-1065), 2015 - academia.edu
In this paper, we proposed a system ie vehicl density based traffic management system.
Present da traffic signal system is fixed time based which ma render inefficient if one lane is …
Present da traffic signal system is fixed time based which ma render inefficient if one lane is …