ANALYSIS OF TRANSIENT MUSICAL SOUNDS BY AUTO-REGRESSIVE MODELING

Florian Keiler; Can Karadogan; Udo Zölzer; Albrecht Schneider

ANALYSIS OF TRANSIENT MUSICAL SOUNDS BY AUTO-REGRESSIVE MODELING

Florian Keiler, Can Karadogan, Udo Zölzer, Albrecht Schneider

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

6 Citations (Scopus)

Abstract

This paper gives an example of an auto-regressive (AR) spectral analysis on transient musical sounds. The attack part of many musical sounds is mostly too short to be analysed by a short-time Fourier analysis, whereas this short period of time is long enough for several AR-methods. The AR-spectra obtained from short segments of signals with attack transients have a sufficiently high frequency resolution. These spectra contain more information about the evolution of a sound than a fast Fourier transform made over a small amount of samples.

Original language	English
Journal	Proceedings of the International Conference on Digital Audio Effects, DAFx
Publication status	Published - 2003
Externally published	Yes
Event	6th International Conference on Digital Audio Effects, DAFx 2003 - London, United Kingdom Duration: 8 Sept 2003 → 11 Sept 2003

Bibliographical note

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© DAFx.All rights reserved.

Cite this

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title = "ANALYSIS OF TRANSIENT MUSICAL SOUNDS BY AUTO-REGRESSIVE MODELING",

abstract = "This paper gives an example of an auto-regressive (AR) spectral analysis on transient musical sounds. The attack part of many musical sounds is mostly too short to be analysed by a short-time Fourier analysis, whereas this short period of time is long enough for several AR-methods. The AR-spectra obtained from short segments of signals with attack transients have a sufficiently high frequency resolution. These spectra contain more information about the evolution of a sound than a fast Fourier transform made over a small amount of samples.",

author = "Florian Keiler and Can Karadogan and Udo Z{\"o}lzer and Albrecht Schneider",

year = "2003",

language = "English",

journal = "Proceedings of the International Conference on Digital Audio Effects, DAFx",

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T1 - ANALYSIS OF TRANSIENT MUSICAL SOUNDS BY AUTO-REGRESSIVE MODELING

AU - Keiler, Florian

AU - Karadogan, Can

AU - Zölzer, Udo

AU - Schneider, Albrecht

PY - 2003

Y1 - 2003

N2 - This paper gives an example of an auto-regressive (AR) spectral analysis on transient musical sounds. The attack part of many musical sounds is mostly too short to be analysed by a short-time Fourier analysis, whereas this short period of time is long enough for several AR-methods. The AR-spectra obtained from short segments of signals with attack transients have a sufficiently high frequency resolution. These spectra contain more information about the evolution of a sound than a fast Fourier transform made over a small amount of samples.

AB - This paper gives an example of an auto-regressive (AR) spectral analysis on transient musical sounds. The attack part of many musical sounds is mostly too short to be analysed by a short-time Fourier analysis, whereas this short period of time is long enough for several AR-methods. The AR-spectra obtained from short segments of signals with attack transients have a sufficiently high frequency resolution. These spectra contain more information about the evolution of a sound than a fast Fourier transform made over a small amount of samples.

UR - http://www.scopus.com/inward/record.url?scp=84872002150&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84872002150

SN - 2413-6700

JO - Proceedings of the International Conference on Digital Audio Effects, DAFx

JF - Proceedings of the International Conference on Digital Audio Effects, DAFx

T2 - 6th International Conference on Digital Audio Effects, DAFx 2003

Y2 - 8 September 2003 through 11 September 2003

ER -

ANALYSIS OF TRANSIENT MUSICAL SOUNDS BY AUTO-REGRESSIVE MODELING

Abstract

Bibliographical note

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