Speech compression attempts to yield a compact bitstream that can represent a speech
signal with minimal distortion by eliminating redundant information, which is increasingly …

Speech separation separates the speech of interest from background noise (speech
enhancement) or interfering speech (speaker separation). While the human auditory system …

Speaker separation aims to extract multiple voices from a mixed signal. In this paper, we
propose two speaker-aware designs to improve the existing speaker separation solutions …

Dimensionality reduction problems in deep learning architectures have become a crucial
task in the field of data science due to increasing burdens in computational costs or …

Under the commonalities found in the goals of two areas, neural network compression and
feature selection for dimension reduction, this research focused on finding a new method to …