MoMuSE
MoMuSE: Momentum Multi-modal Target Speaker Extraction for Real-time Scenarios with Impaired Visual Cues
Junjie Li, Ke Zhang, Shuai Wang, Kong Aik Lee, Haizhou Li · 2024-12-11
- Management
- T2 Dynamic Memory
- Memory changes during deployment through a stable management policy.
- Representation
- Internalized latent & parametric
How experience becomes memory
Each path is one memory component, traced from what is stored to how it is found again.
audio-visual speaker identity state
- Represented asPersistent multimodal latent stateInternalized latent & parametric
- Stored inFlat sequential records
- Retrieved byLatent / parametric activation
- Source evidenceSource not retained
Speaker-identity momentum tracks the target when visual cues disappear.Full-paper method / memory representation and retrieval · PDF p. 6 · Figure 1
How memory changes (T2 operations)
Update · Learned update module
A fixed learned momentum update refreshes speaker state. For MoMuSE, this specifically supports a trained but frozen update module of audio-visual speaker identity state.
Related systems
- Agentic ASRT2 · Audio & speech
- Stateful Streaming ASR (State Carry-over / State Rollback)T2 · Audio & speech
- WnW (Waxing-and-Waning KV Cache)T2 · Audio & speech
- ECHOT2 · Embodied & 3D
- EchoVLAT2 · Embodied & 3D
- Embodied-SlotSSMT2 · Embodied & 3D