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

Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

6 Atıf (Scopus)

Özet

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.

Orijinal dil	İngilizce
Dergi	Proceedings of the International Conference on Digital Audio Effects, DAFx
Yayın durumu	Yayınlandı - 2003
Harici olarak yayınlandı	Evet
Etkinlik	6th International Conference on Digital Audio Effects, DAFx 2003 - London, United Kingdom Süre: 8 Eyl 2003 → 11 Eyl 2003

Bibliyografik not

Publisher Copyright:
© DAFx.All rights reserved.

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Link to publication in Scopus

Alıntı Yap

@article{364766d2b35d43da8ad2943bb570c37c,

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",

issn = "2413-6700",

publisher = "DAFx",

}

TY - JOUR

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 - https://www.scopus.com/pages/publications/84872002150

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

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