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Publication type: Articles in peer reviewed conference proceedings

Abstract: This paper presents a scalable granular acoustic fingerprinting system. An acoustic fingerprinting system uses condensed representation of audio signals, acoustic fingerprints, to identify short audio fragments in large audio databases. A robust fingerprinting system generates similar fingerprints for perceptually similar audio signals. The system presented here is designed to handle time-scale and pitch modifications. The open source implementation of the system is called Panako and is evaluated on commodity hardware using a freely available reference database with fingerprints of over 30,000 songs. The results show that the system responds quickly and reliably on queries, while handling time-scale and pitch modifications of up to ten percent. The system is also shown to handle GSM-compression, several audio effects and band-pass filtering. After a query, the system returns the start time in the reference audio and how much the query has been pitch-shifted or timestretched with respect to the reference audio. The design of the system that offers this combination of features is the main contribution of this paper.

Cite this article:
@inproceedings{six2014panako,
  author      = {Joren Six and Marc Leman},
  title       = {{Panako - A Scalable Acoustic Fingerprinting System Handling Time-Scale and Pitch Modification}},
  booktitle   = {{Proceedings of the 15th ISMIR Conference (ISMIR 2014)}}, 
  year        =  2014
}
      
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