Despite rapid advancement in recent years, current speech enhancement models often
produce speech that differs in perceptual quality from real clean speech. We propose a …

Recent work in the field of speech enhancement (SE) has involved the use of self-
supervised speech representations (SSSRs) as feature transformations in loss functions …

Enhancing speech quality is an indispensable yet difficult task as it is often complicated by a
range of degradation factors. In addition to additive noise, reverberation, clip**, and …

Recently, Self-Supervised Features (SSF) trained on extensive speech datasets have shown
significant performance gains across various speech processing tasks. Nevertheless, their …

This study introduces a refined approach to Text-to-Speech (TTS) generation that
significantly enhances sampling stability across languages, with a particular focus on …

Self-supervised learned models have been found to be very effective for tasks such as
automatic speech recognition, speaker identification, and others. However, their utility in …