Frequency-domain monaural speech enhancement has been extensively studied for over
60 years, and a great number of methods have been proposed and applied to many …

Personalized speech enhancement (PSE) utilizes additional cues like speaker embeddings
to remove background noise and interfering speech and extract the speech from target …

This paper presents an improved subband neural network applied to joint speech denoising
and dereverberation for online single-channel scenarios. Preserving the advantages of …

This paper presents a deep and lightweight subband neural network which jointly
suppresses the common interference in real-time fullband speech communication: echo …

The estimation of the Ideal Binary Mask (IBM) based on speech cochleagram and visual
cues were carried out in this paper to improve the speech intelligibility and quality using an …

Realising a low-complexity Farrow channelisation algorithm for multi-standard receivers in
software-defined radio is a challenging task. A Farrow filter operates best at low frequencies …

Beamforming has been used in a wide range of applications to extract the signal of interest
from microphone array observations, which consist of not only the signal of interest, but also …

Many existing phase-aware speech enhancement algorithms consider the phase at all
spectral frequencies to be equally important to perceptual quality and intelligibility. Although …

Speech enhancement based on deep neural networks faces difficulties, as modeling more
frequency bands can lead to a decrease in the resolution of low-frequency bands and …

Speech enhancement models are developed to improve quality and intelligibility of speech
for numerous daily applications. With the rapid development of technology, the neural …