A speaker extraction algorithm seeks to extract the target speaker's speech from a multi-
talker speech mixture. The prior studies focus mostly on speaker extraction from a highly …

Accurate recognition of cocktail party speech containing overlap** speakers, noise and
reverberation remains a highly challenging task to date. Motivated by the invariance of …

Audio-Visual Speech Recognition (AVSR) is a promising approach to improving the
accuracy and robustness of speech recognition systems with the assistance of visual cues in …

Existing methods of cross-modal domain adaptation for 3D semantic segmentation predict
results only via 2D-3D complementarity that is obtained by cross-modal feature matching …

Target speech extraction aims to extract, based on a given conditioning cue, a target speech
signal that is corrupted by interfering sources, such as noise or competing speakers …

The speaker extraction technique seeks to single out the voice of a target speaker from the
interfering voices in a speech mixture. Typically an auxiliary reference of the target speaker …

In this paper, we propose long short term memory speech enhancement network (LSTMSE-
Net), an audio-visual speech enhancement (AVSE) method. This innovative method …

Contemporary audio–visual speech separation (AVSS) models typically use encoders that
merge audio and visual representations by concatenating them at a specific layer. This …

Recent studies have increasingly acknowledged the advantages of incorporating visual data
into speech enhancement (SE) systems. In this paper, we introduce a novel audio-visual SE …

Audio-visual Target Speaker Extraction (AV-TSE) aims to isolate the speech of a specific
target speaker from an audio mixture using time-synchronized visual cues. In real-world …