2610.32749
2610.32749 is Join the discussion on this paper page. It is ranked #3616 on the AI Radar, in AI research, first seen 8 days ago and shared in 1 post (14.7k views).
Paper page - Efficient Streaming Audio-Visual Target Speaker Extraction for Real-World Acoustic Scenes Hugging Face Log In Sign Up Falcon is a causal audio-visual target speaker extraction model that uses the target speaker's mouth video to extract their voice from noisy, overlapping speech. It combines a single-pass multi-scale time-frequency separator with an encoder-space speaker contrastive loss that reduces interfering-speaker leakage without adding inference cost.</p>\n<p>The paper also introduces RealSSA, a benchmark covering varied speaker counts, near- and far-field interference, reverberation, and sudden noise, with both simulated…
What people said about 2610.32749 on X
Efficient Streaming Audio-Visual Target Speaker Extraction for Real-World Acoustic Scenes paper: https://huggingface.co/papers/2610.32749
— @_akhaliq, 8 days ago · 35 likes · see the post
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2610.32749 in numbers
- Rank on the AI Radar: #3616 of 10412
- Shared in 1 post by 1 account: @_akhaliq
- 14.7k views on those posts
- First seen 8 days ago, last shared 8 days ago
- Pricing seen by AGK Intelligence: free
- Market: AI research
FAQ
What is 2610.32749?
Join the discussion on this paper page It was first shared on X 8 days ago and is ranked #3616 on the AI Radar.
Is 2610.32749 free?
Yes, it is free to use.
Who shared 2610.32749?
1 account on X, including @_akhaliq, in 1 post totalling 14.7k views.
Every post is read and classified by AGK Intelligence: what it is, which market it belongs to, and whether the link is a real tool. 65.5k posts from 5k X accounts over the last 14 days, 10.4k tools, 19 markets. New posts are collected several times an hour and the full ranking is recomputed every hour — last update 2026-11-06 16:50 UTC. Full method.