C cubed ASD: Multi-Level Consistency-Driven Representation Learning for Robust Active Speaker Detection

arXiv:2607.03018 · cs.CV, cs.SD · Submitted 2026-07-03 · Read on arXiv

cs.CV, cs.SD

Submitted: 2026-07-03

Updated: 2026-09-26

Terminology

• Consistency — 98× in this paper · explained in 3 episodes
• Embeddings — 33× in this paper · explained in 2 episodes
• Robustness — 27× in this paper · explained in 5 episodes
• Active Speaker Detection — 25× in this paper
• Representation Learning — 25× in this paper · explained in 2 episodes
• Alignment — 18× in this paper · explained in 1 episode
• Regularization — 15× in this paper · explained in 3 episodes
• Distillation — 12× in this paper · explained in 2 episodes
• Cosine Similarity — 11× in this paper · explained in 3 episodes
• Contrastive Learning — 8× in this paper · explained in 5 episodes
• Benchmark — 7× in this paper · explained in 2 episodes
• Generalization — 7× in this paper · explained in 13 episodes
• Knowledge Distillation — 6× in this paper · explained in 11 episodes
• Ablation — 5× in this paper · explained in 1 episode
• Corruption Robustness — 5× in this paper · explained in 2 episodes
• Clustering — 4× in this paper · explained in 2 episodes
• Ablation study — 3× in this paper · explained in 1 episode
• Adam — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Mel-Frequency Cepstral Coefficients — 2× in this paper
• Multimodal Learning — 2× in this paper · explained in 2 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Self-Supervised Learning — 2× in this paper · explained in 7 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Anchor Loss — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Computer Vision and Pattern Recognition — 1× in this paper
• Failure Modes — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• International Conference on Computer Vision — 1× in this paper
• International Conference on Learning Representations — 1× in this paper
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Multimodal Fusion — 1× in this paper · explained in 3 episodes
• Semi-supervised Learning — 1× in this paper · explained in 4 episodes
• Structural Constraints — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• Distilling the Knowledge in a Neural Network
• Learning Spatial-Temporal Graphs for Active Speaker Detection
• MUSAN: A Music, Speech, and Noise Corpus
• Robust Active Speaker Detection in Noisy Environments

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