Music – Instruments – Electrical musical tone generation
Reexamination Certificate
2005-07-08
2010-12-28
Donels, Jeffrey (Department: 2832)
Music
Instruments
Electrical musical tone generation
Reexamination Certificate
active
07858868
ABSTRACT:
A method for classifying music includes providing music classification data, providing an unclassified piece of music to be classified, and deriving for each music class within the music classification data a respective Gish distance value. A finite set of a finite number of Gish distance values is descriptive for the relation of the unclassified piece of music to be classified with respect to a discrete and finite set of a finite number of music classes. Alternatively, for a given piece of music to be classified, music classification data of a n-tuple of at least three numbers are obtained, which are representative for the mood of the piece of music. From the n-tuple of numbers of the music classification data a pair of two dimensional coordinate values are determined, which are representative for the mood of the piece of music.
REFERENCES:
patent: 2005/0160449 (2005-07-01), Goronzy et al.
George Tzanetakis, et al., “Musical Genre Classification of Audio Signals”, IEEE Transactions on Speech and Audio Processing, vol. 10, No. 5, XP 002307404, pp. 293-302, 2002.
Thomas Kemp, et al., “Strategies for Automatic Segmentation of Audio Data”, Interactive Systems Laboratories, vol. 3, No. 5, XP 010507616, pp. 1423-1426, 2000.
A. Solomonoff, et al., “Clustering Speakers by Their Voices”, Acoustics, Speech and Signal Processing, XP 010279341, pp. 757-760, 1998.
T. Lambrou, et al., “Classification of Audio Signals Using Statistical Features on Time and Wavelet Transform Domains”, Acoustics, Speech and Signal Processing, XP 010279671, pp. 3621-3624, 1998.
Yibin Zhang, et al., “A Study on Content-Based Music Classification”, ISSPA, vol. 2. No. 1, XP 010653316, pp. 113-116, 2003.
Beth Logan, “MEL Frequency Cepstral Coefficients for Music Modeling”, Proceedings Annual International Symposium on Music Information Retrieval, XP 002289783, pp. 1-11, 2000.
Dan Liu, et al., “Automatic Mood Detection from Acoustic Music Data”, in proceedings ISMIR 2003, Baltimore, MD., 7 pages.
U.S. Appl. No. 12/369,352, filed Feb. 11, 2009, Kemp.
U.S. Appl. No. 12/593,927, filed Sep. 30, 2009, Kemp.
Kemp Thomas
Tolos Marta
Donels Jeffrey
Oblon, Spivak McClelland, Maier & Neustadt, L.L.P.
Sony Deutschland GmbH
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