Dissonance Spectrum explicitly models perceptual frequency interactions for better music understanding

arXiv:2608.25621 · cs.SD, cs.AI · Submitted 2026-08-26 · Read on arXiv

cs.SD, cs.AI

Submitted: 2026-08-26

Updated: 2026-08-26

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Dissonance Spectrum — 9× in this paper
• Perplexity — 6× in this paper · explained in 3 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Alignment — 3× in this paper · explained in 1 episode
• AUC — 2× in this paper · explained in 2 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Tokenization — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Affective Computing — 1× in this paper · explained in 1 episode
• Consistency — 1× in this paper · explained in 3 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Introspection — 1× in this paper · explained in 2 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Towards Unified Music Emotion Recognition across Dimensional and Categorical Models
• Llama 2: Open Foundation and Fine-Tuned Chat Models

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