Topological fingerprints for audio identification

Autor:	Reise, Wojciech, Fernández, Ximena, Dominguez, Maria, Harrington, Heather A., Beguerisse-Díaz, Mariano
Rok vydání:	2023
Předmět:	Computer Science - Sound Electrical Engineering and Systems Science - Audio and Speech Processing Mathematics - Algebraic Topology 55N31 68U10 62R40
Druh dokumentu:	Working Paper
Popis:	We present a topological audio fingerprinting approach for robustly identifying duplicate audio tracks. Our method applies persistent homology on local spectral decompositions of audio signals, using filtered cubical complexes computed from mel-spectrograms. By encoding the audio content in terms of local Betti curves, our topological audio fingerprints enable accurate detection of time-aligned audio matchings. Experimental results demonstrate the accuracy of our algorithm in the detection of tracks with the same audio content, even when subjected to various obfuscations. Our approach outperforms existing methods in scenarios involving topological distortions, such as time stretching and pitch shifting. Comment: 26 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2309.03516 Zobrazit plný text záznamu View this record from Arxiv