A speaker extraction algorithm seeks to extract the speech of a target speaker from a multi-talker
speech mixture when given a cue that represents the target speaker, such as a pre-…

Emotion represents an essential aspect of human speech that is manifested in speech
prosody. Speech, visual, and textual cues are complementary in human communication. In this …

Speaker extraction algorithm relies on the speech sample from the target speaker as the
reference point to focus its attention. Such a reference speech is typically pre-recorded. On the …

Active speaker detection (ASD) seeks to detect who is speaking in a visual scene of one or
more speakers. The successful ASD depends on accurate interpretation of short-term and …

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 …

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

Speech separation seeks to separate individual speech signals from a speech mixture.
Typically, most separation models are trained on synthetic data due to the unavailability of target …

Speaker extraction seeks to extract the clean speech of a target speaker from a multi-talker
mixture speech. There have been studies to use a pre-recorded speech sample or face …

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. …

While offline speech separation models have made significant advances, the streaming
regime remains less explored and is typically limited to causal modifications of existing offline …