Target Speaker Extraction
9 papers with code • 0 benchmarks • 0 datasets
Extract the dialogue content of the specified target in a multi-person dialogue.
Benchmarks
These leaderboards are used to track progress in Target Speaker Extraction
Most implemented papers
GPU-accelerated Guided Source Separation for Meeting Transcription
In this paper, we describe our improved implementation of GSS that leverages the power of modern GPU-based pipelines, including batched processing of frequencies and segments, to provide 300x speed-up over CPU-based inference.
Muse: Multi-modal target speaker extraction with visual cues
Speaker extraction algorithm relies on the speech sample from the target speaker as the reference point to focus its attention.
Target Speaker Verification with Selective Auditory Attention for Single and Multi-talker Speech
xuchenglin28/speaker_extraction
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Inspired by the study on target speaker extraction, e. g., SpEx, we propose a unified speaker verification framework for both single- and multi-talker speech, that is able to pay selective auditory attention to the target speaker.
Selective Listening by Synchronizing Speech with Lips
zexupan/reentry
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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-enrolled speech utterance, or an accompanying video track.
L-SpEx: Localized Target Speaker Extraction
gemengtju/l-spex
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Speaker extraction aims to extract the target speaker's voice from a multi-talker speech mixture given an auxiliary reference utterance.
A Hybrid Continuity Loss to Reduce Over-Suppression for Time-domain Target Speaker Extraction
We propose a hybrid continuity loss function for time-domain speaker extraction algorithms to settle the over-suppression problem.
ImagineNET: Target Speaker Extraction with Intermittent Visual Cue through Embedding Inpainting
In this paper, we study the audio-visual speaker extraction algorithms with intermittent visual cue.
RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation
spkgyk/RTFS-Net
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This is the first time-frequency domain audio-visual speech separation method to outperform all contemporary time-domain counterparts.
Typing to Listen at the Cocktail Party: Text-Guided Target Speaker Extraction
However, the effectiveness of these models is hindered in real-world scenarios due to the unreliable or even absence of pre-registered cues.
