PulseAugur
EN
LIVE 10:02:44

Tap2Listen model enables instant speaker switching in audio-visual extraction

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Tap2Listen, a novel streaming audio-visual target speaker extraction model capable of instantly switching its focus to a different speaker. This system addresses the limitation of previous models that were fixed to a single speaker, enabling real-time adaptation to conversational dynamics. The model achieves this by separating computation by modality, with an audio encoder processing the mixture and visual cues from the selected face conditioning the decoder. Evaluations on the LRS3-2mix dataset show improved SI-SNRi and immediate, full-quality output after a target switch, with the model running efficiently on a single CPU core. AI

IMPACT Enables more natural and responsive multi-speaker interaction in real-time applications.

RANK_REASON Academic paper detailing a new model and its performance. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Tap2Listen model enables instant speaker switching in audio-visual extraction

How we ranked this

Signal score
13 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
Academic paper detailing a new model and its performance. [lever_c_demoted from research: ic=1 ai=1.0]
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, other
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
Same-day
Cluster formed today. Ranking reflects the current source set at time of score.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Hansol Park, Minkyung Song, Zinu Kim, Yujun Lee, Hoseong Ahn, Hyunjin Choi, Kyuhong Shim ·

    Tap2Listen: Instant Target Switching for Streaming Audio-Visual Speaker Extraction

    arXiv:2610.36643v1 Announce Type: cross Abstract: Streaming audio-visual target speaker extraction (AV-TSE) uses a target speaker's face to extract the speaker's speech from an input audio mixture in real time. However, existing systems fix the target speaker for an entire clip, …

RELATED TOPICS