Speech enhancement has substantial interest in the utilization of speaker identification,
video-conference, speech transmission through communication channels, speech-based …

Transformer and its derivatives have achieved success in diverse tasks across computer
vision, natural language processing, and speech processing. To reduce the complexity of …

An accurate noise power spectral density (PSD) tracker is an indispensable component of a
single-channel speech enhancement system. Bayesian-motivated minimum mean-square …

Recently, the focus of speech enhancement research has shifted from minimum mean-
square error (MMSE) approaches, like the MMSE short-time spectral amplitude (MMSE …

Speech enhancement plays an essential role in a wide range of speech processing
applications. Recent studies on speech enhancement tend to investigate how to effectively …

This paper presents a smartphone app that performs real-time voice activity detection based
on convolutional neural network. Real-time implementation issues are discussed showing …

Transformer architecture has enabled recent progress in speech enhancement. Since
Transformers are position-agostic, positional encoding is the de facto standard component …

Most studies on speech enhancement generally don't explicitly consider the energy
distribution of speech in time-frequency (TF) representation, which is important for accurate …

Despite much progress, most temporal convolutional networks (TCN) based speech
enhancement models are mainly focused on modeling the long-term temporal contextual …

The traditional graphic user interface in healthcare-oriented consumer electronics faced
challenges such as high operational complexity, time-consuming operations, and a high risk …