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 …

Improving the speech intelligibility remains a challenging problem in digital hearing aids.
This research work proposes a new speech segregation algorithm to improve the speech …

This research work proposes an image analysis‐based algorithm to enhance the time–
frequency (T–F) mask obtained in the initial segmentation of CASA‐based monaural speech …

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 …

Monaural speech separation is the process of separating the target speech from a noisy
speech mixture recorded using single microphone. It can be used in wide range of …

Monaural speech separation is the process of separating the target speech from the noisy
speech mixture recorded using single microphone. It is a challenging problem in speech …

Monaural speech segregation from complex concurrent noise is an extremely challenging
problem; binary mask is a method to solve this problem, however, the performance of binary …

To improve the performance of monaural speech separation, a monaural speech separation
method based on deep learning feature fusion and joint constraints is proposed. The loss …

Monaural speech separation is a very challenging problem in speech signal processing. It
has been studied extensively, and many separation systems based on computational …

Speech separation is a process of segregating the target speech from the noisy mixture.
Human auditory system naturally has the capability to separate the speech from background …