InMAF: Indexing Music Databases via Multiple Acoustic Features

Summary: InMAF proposes compact descriptors for scalable indexing of music databases using multiple acoustic features. It blends perception-driven features with PCA and neural nets to boost retrieval accuracy and distortion robustness over spectral baselines. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID: 3822
Venue: SIGMOD
Year: 2006
Pagerank: -
Overall Rank: 13,623 | 5.23%
DOI: -

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