Humans possess the remarkable ability to selectively attend to a single speaker amidst
competing voices and background noise, known as selective auditory attention. Recent …

We introduce a novel task named 'target speech diarization', which seeks to determine
'when target event occurred'within an audio signal. We devise a neural architecture called …

Target speaker extraction (TSE) relies on a reference cue of the target to extract the target
speech from a speech mixture. While a speaker embedding is commonly used as the …

Audio-visual target speaker extraction (AV-TSE) aims to extract the specific person's speech
from the audio mixture given auxiliary visual cues. Previous methods usually search for the …

Target speaker extraction aims to extract the speech of a specific speaker from a multi-talker
mixture as specified by an auxiliary reference. Most studies focus on the scenario where the …

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 …

Deep learning technologies have significantly advanced the performance of target speaker
extraction (TSE) tasks. To enhance the generalization and robustness of these algorithms …

Target Speaker Extraction (TSE) aims to extract target speech from mixed audio using clues
that identify the target speaker. However, TSE often faces the Target Confusion (TC) …

Audio-visual target speech extraction (AV-TSE) is one of the enabling technologies in
robotics and many audiovisual applications. One of the challenges of AV-TSE is how to …

Audio-visual target speaker extraction (AV-TSE) aims to extract the specific person's speech
from the audio mixture given auxiliary visual cues. Previous methods usually search for the …