Denoising a single-channel speech (recorded using one microphone) remains an open
problem in many speech-related applications. Recently, supervised deep learning methods …

Recent advances in electronics and microelectronics have aided the development of low‐
cost devices that are widely used as well‐being or preventive monitoring devices by many …

In this research work, we propose the model based on the Genetic Algorithm (GA) and Deep
Neural Network (DNN) to enhance the quality and intelligibility of the noisy speech. In this …

Speech signal enhancement achieves high-level performance in recent years using deep
learning techniques. However, the deep learning technique in the speech enhancement …

This research work proposes a new Genetic Algorithm (GA) based fusion scheme to
effectively fuse the Time–Frequency (T–F) binary mask of voiced and unvoiced speech. The …

General masking-based speech enhancement using a deep learning architecture (DNN)
approach focuses on the spectral values of the speech in order to show improvement in …

En procesos de detección por imágenes en las que existe variación de luminosidad entre
pixeles, se requieren técnicas que permitan obtener valores óptimos y adaptables de …

Monaural speech separation has remained a very challenging problem for a longtime which
can be addressed using a supervised learning approach that uses features of the noisy …

The most commonly used training target is masking-based approach which maps noisy
speech to the time–frequency (T–F) unit and has a remarkable impact on the performance in …

When it comes to discrete-time systems, whether it is an FIR or an IIR filter, it is important to
understand the complexities of data representation, data operation, and so on. The system …