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#target-speaker-extraction

VoxLock: Target-Speaker Extraction for Voice Agents Without an Enrollment Step

Hugging Face Daily Papers ↗ · 2026-10-29 Cached

VoxLock 是一个无需注册步骤的因果性目标说话人提取模型,通过微调 REAL-TSE 实现,在真实录音上达到接近商业级的语音识别精度(Krisp 基准 WER 4.95%),且 CPU 占用和延迟极低,模型与代码均已开源。

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#target-speaker-extraction

Efficient Streaming Audio-Visual Target Speaker Extraction for Real-World Acoustic Scenes

Hugging Face Daily Papers ↗ · 2026-10-23 Cached

Falcon is a causal audio-visual target speaker extraction model that uses lip video to isolate a target speaker's voice in noisy, overlapping speech, cutting parameters by 91.9% and latency by 11.1× versus causal AV-TFGridNet. The paper also introduces RealSSA, a benchmark spanning simulated and real-recorded acoustic scenes with varied interference conditions.

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