Signal-based Music Structure Discovery for Music Audio Summary Generation

Geoffroy Peeters; Xavier Rodet

Signal-based Music Structure Discovery for Music Audio Summary Generation

Analysis/Synthesis Team

Research output: Contribution to journal › Conference article › peer-review

Abstract

Deriving directly music structure from signal analysis, without going to symbolic information, is a new subject of interest. Two approaches are studied here in order to derive the structure: - the “sequence” approach, which considers the audio signal as a repetition of sequences of events - the “state” approach, which considers the audio signal as a succession of “states”. Both approaches are derived from dynamic features observations extracted from the audio signal. The obtained structures are then used for the creation of audio summary.

Original language	English
Journal	International Computer Music Conference, ICMC Proceedings
Publication status	Published - 1 Jan 2003
Externally published	Yes
Event	29th International Computer Music Conference, ICMC 2003 - Singapore, Singapore Duration: 29 Sept 2003 → 4 Oct 2003

Cite this

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title = "Signal-based Music Structure Discovery for Music Audio Summary Generation",

abstract = "Deriving directly music structure from signal analysis, without going to symbolic information, is a new subject of interest. Two approaches are studied here in order to derive the structure: - the “sequence” approach, which considers the audio signal as a repetition of sequences of events - the “state” approach, which considers the audio signal as a succession of “states”. Both approaches are derived from dynamic features observations extracted from the audio signal. The obtained structures are then used for the creation of audio summary.",

author = "Geoffroy Peeters and Xavier Rodet",

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AU - Peeters, Geoffroy

AU - Rodet, Xavier

N1 - Publisher Copyright: © International Computer Music Conference, ICMC Proceedings 2003.

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Y1 - 2003/1/1

N2 - Deriving directly music structure from signal analysis, without going to symbolic information, is a new subject of interest. Two approaches are studied here in order to derive the structure: - the “sequence” approach, which considers the audio signal as a repetition of sequences of events - the “state” approach, which considers the audio signal as a succession of “states”. Both approaches are derived from dynamic features observations extracted from the audio signal. The obtained structures are then used for the creation of audio summary.

AB - Deriving directly music structure from signal analysis, without going to symbolic information, is a new subject of interest. Two approaches are studied here in order to derive the structure: - the “sequence” approach, which considers the audio signal as a repetition of sequences of events - the “state” approach, which considers the audio signal as a succession of “states”. Both approaches are derived from dynamic features observations extracted from the audio signal. The obtained structures are then used for the creation of audio summary.

M3 - Conference article

AN - SCOPUS:33846263415

SN - 2223-3881

JO - International Computer Music Conference, ICMC Proceedings

JF - International Computer Music Conference, ICMC Proceedings

T2 - 29th International Computer Music Conference, ICMC 2003

Y2 - 29 September 2003 through 4 October 2003

ER -

Signal-based Music Structure Discovery for Music Audio Summary Generation

Abstract

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