Extraction and remixing of drum tracks from polyphonic music signals

Olivier Gillet; Gaël Richard

doi:10.1109/ASPAA.2005.1540232

Extraction and remixing of drum tracks from polyphonic music signals

Olivier Gillet
, Gaël Richard

CNRS LTCI

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a novel algorithm to extract the drum track of a polyphonic music signal, based on a harmonic / noise de-composition. This algorithm is causal and does not require prior knowledge or learning. The input signal is split into several frequency bands in which the signal is separated in a deterministic and a stochastic part. The stochastic part can be efficiently used to detect drum events and to resynthesize a drum track. Possible applications include drum transcription, remixing, and independent processing of the rhythmic and melodic components of music signals. Results obtained from real recordings of popular music are presented, as well as a perceptual evaluation of the quality of remixed signals.

Original language	English
Title of host publication	2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Pages	315-318
Number of pages	4
DOIs	https://doi.org/10.1109/ASPAA.2005.1540232
Publication status	Published - 1 Dec 2005
Externally published	Yes
Event	2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics - New Paltz, NY, United States Duration: 16 Oct 2005 → 19 Oct 2005

Publication series

Name	IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Conference

Conference	2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
Country/Territory	United States
City	New Paltz, NY
Period	16/10/05 → 19/10/05

Access to Document

10.1109/ASPAA.2005.1540232

Cite this

@inproceedings{c480770fcbef411f816f669df9108eaf,

title = "Extraction and remixing of drum tracks from polyphonic music signals",

abstract = "This paper presents a novel algorithm to extract the drum track of a polyphonic music signal, based on a harmonic / noise de-composition. This algorithm is causal and does not require prior knowledge or learning. The input signal is split into several frequency bands in which the signal is separated in a deterministic and a stochastic part. The stochastic part can be efficiently used to detect drum events and to resynthesize a drum track. Possible applications include drum transcription, remixing, and independent processing of the rhythmic and melodic components of music signals. Results obtained from real recordings of popular music are presented, as well as a perceptual evaluation of the quality of remixed signals.",

author = "Olivier Gillet and Ga{\"e}l Richard",

year = "2005",

month = dec,

day = "1",

doi = "10.1109/ASPAA.2005.1540232",

language = "English",

isbn = "0780391543",

series = "IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",

pages = "315--318",

booktitle = "2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics",

note = "2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics ; Conference date: 16-10-2005 Through 19-10-2005",

}

Gillet, O & Richard, G 2005, Extraction and remixing of drum tracks from polyphonic music signals. in 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics., 1540232, IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, pp. 315-318, 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, New Paltz, NY, United States, 16/10/05. https://doi.org/10.1109/ASPAA.2005.1540232

Extraction and remixing of drum tracks from polyphonic music signals. / Gillet, Olivier; Richard, Gaël.
2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. 2005. p. 315-318 1540232 (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Extraction and remixing of drum tracks from polyphonic music signals

AU - Gillet, Olivier

AU - Richard, Gaël

PY - 2005/12/1

Y1 - 2005/12/1

N2 - This paper presents a novel algorithm to extract the drum track of a polyphonic music signal, based on a harmonic / noise de-composition. This algorithm is causal and does not require prior knowledge or learning. The input signal is split into several frequency bands in which the signal is separated in a deterministic and a stochastic part. The stochastic part can be efficiently used to detect drum events and to resynthesize a drum track. Possible applications include drum transcription, remixing, and independent processing of the rhythmic and melodic components of music signals. Results obtained from real recordings of popular music are presented, as well as a perceptual evaluation of the quality of remixed signals.

AB - This paper presents a novel algorithm to extract the drum track of a polyphonic music signal, based on a harmonic / noise de-composition. This algorithm is causal and does not require prior knowledge or learning. The input signal is split into several frequency bands in which the signal is separated in a deterministic and a stochastic part. The stochastic part can be efficiently used to detect drum events and to resynthesize a drum track. Possible applications include drum transcription, remixing, and independent processing of the rhythmic and melodic components of music signals. Results obtained from real recordings of popular music are presented, as well as a perceptual evaluation of the quality of remixed signals.

U2 - 10.1109/ASPAA.2005.1540232

DO - 10.1109/ASPAA.2005.1540232

M3 - Conference contribution

AN - SCOPUS:33749051242

SN - 0780391543

SN - 9780780391543

T3 - IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

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BT - 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

T2 - 2005 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics

Y2 - 16 October 2005 through 19 October 2005

ER -

Extraction and remixing of drum tracks from polyphonic music signals

Abstract

Publication series

Conference

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