(Enter summary)
Abstract: This paper describes the development of an audio fingerprint called AudioDNA designed to be robust against several distortions including those related to radio broadcasting. A complete system, covering also a fast and efficient method for comparing observed fingerprints against a huge database with reference fingerprints is described. The promising results achieved with the first prototype system observing music titles as well as commercials are presented. (Update)
Context of citations to this paper: More
.... idea of extracting the essence of a class of objects retaining the main its characteristics is at the heart of any classification system [6] [10] II. GENERAL FRAMEWORK In spite of the different rationales behind the identification task, methods share certain aspects. As...
...origin of this experiment is the research on a system for contentbased audio identification. Details on the system are described in [1]. Basically the system decomposes songs into sequences of an alphabet of sounds, very much like speech can be decomposed into phonemes. Once...
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BibTeX entry: (Update)
P. Cano, E. Batlle, H. Mayer, and H. Neuschmied, "Robust sound modeling for song detection in broadcast audio," in Proc. AES 112th Int. Conv., Munich, Germany, May 2002. http://citeseer.ist.psu.edu/cano02robust.html More
@misc{ cano02robust,
author = "P. Cano and E. Batlle and H. Mayer and H. Neuschmied",
title = "Robust sound modeling for song detection in broadcast audio",
text = "P. Cano, E. Batlle, H. Mayer, and H. Neuschmied, Robust sound modeling
for song detection in broadcast audio, in Proc. AES 112th Int. Conv., Munich,
Germany, May 2002.",
year = "2002",
url = "citeseer.ist.psu.edu/cano02robust.html" }
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Digital watermarks for audio signals
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Mel Frequency Cepstral Coefficients for Music Modelling
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Method and Article of Manufacture for Content-Based Analysis (context) - Blum, Keislar et al.
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