Time Scale Modification of Audio Using Non-Negative Matrix Factorization

Gerard Roma; Owen Green; Pierre Alexandre Tremblay

Time Scale Modification of Audio Using Non-Negative Matrix Factorization

Gerard Roma, Owen Green, Pierre Alexandre Tremblay

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

Abstract

This paper introduces an algorithm for time-scale modification of audio signals based on using non-negative matrix factorization. The activation signals attributed to the detected components are used for identifying sound events. The segmentation of these events is used for detecting and preserving transients. In addition, the algorithm introduces the possibility of preserving the envelopes of overlapping sound events while globally modifying the duration of an audio clip.

Original language	English
Title of host publication	Proceedings of the 22nd International Conference on Digital Audio Effects
Subtitle of host publication	(DAFx-19)
Place of Publication	Birmingham
Publisher	Birmingham City University
Pages	213-218
Number of pages	6
Publication status	Published - 2 Sept 2019
Event	22nd International Conference on Digital Audio Effects - Birmingham City University, Birmingham, United Kingdom Duration: 2 Sept 2019 → 6 Sept 2019 Conference number: 22 http://dafx2019.bcu.ac.uk/

Publication series

Name	DAFx Proceedings Series
Volume	2019
ISSN (Print)	2413-6700
ISSN (Electronic)	2413-6689

Conference

Conference	22nd International Conference on Digital Audio Effects
Abbreviated title	DAFx 2019
Country/Territory	United Kingdom
City	Birmingham
Period	2/09/19 → 6/09/19
Internet address	http://dafx2019.bcu.ac.uk/

Access to Document

http://dafx2019.bcu.ac.uk/papers/DAFx2019_paper_38.pdfLicence: CC BY

Cite this

@inproceedings{eec6fd49d3e74f7b87dba0a5959e9358,

title = "Time Scale Modification of Audio Using Non-Negative Matrix Factorization",

abstract = "This paper introduces an algorithm for time-scale modification of audio signals based on using non-negative matrix factorization. The activation signals attributed to the detected components are used for identifying sound events. The segmentation of these events is used for detecting and preserving transients. In addition, the algorithm introduces the possibility of preserving the envelopes of overlapping sound events while globally modifying the duration of an audio clip.",

keywords = "Audio Signals, Non-Negative Matrix Factorization, Transients, Algorithm",

author = "Gerard Roma and Owen Green and Tremblay, {Pierre Alexandre}",

year = "2019",

month = sep,

day = "2",

language = "English",

series = "DAFx Proceedings Series",

publisher = "Birmingham City University",

pages = "213--218",

booktitle = "Proceedings of the 22nd International Conference on Digital Audio Effects",

address = "United Kingdom",

note = "22nd International Conference on Digital Audio Effects, DAFx 2019 ; Conference date: 02-09-2019 Through 06-09-2019",

url = "http://dafx2019.bcu.ac.uk/",

}

Roma, G, Green, O & Tremblay, PA 2019, Time Scale Modification of Audio Using Non-Negative Matrix Factorization. in Proceedings of the 22nd International Conference on Digital Audio Effects : (DAFx-19)., 38, DAFx Proceedings Series, vol. 2019, Birmingham City University, Birmingham, pp. 213-218, 22nd International Conference on Digital Audio Effects, Birmingham, United Kingdom, 2/09/19. <http://dafx2019.bcu.ac.uk/papers/DAFx2019_paper_38.pdf>

Time Scale Modification of Audio Using Non-Negative Matrix Factorization. / Roma, Gerard; Green, Owen; Tremblay, Pierre Alexandre.
Proceedings of the 22nd International Conference on Digital Audio Effects : (DAFx-19). Birmingham: Birmingham City University, 2019. p. 213-218 38 (DAFx Proceedings Series; Vol. 2019).

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

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AU - Green, Owen

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N2 - This paper introduces an algorithm for time-scale modification of audio signals based on using non-negative matrix factorization. The activation signals attributed to the detected components are used for identifying sound events. The segmentation of these events is used for detecting and preserving transients. In addition, the algorithm introduces the possibility of preserving the envelopes of overlapping sound events while globally modifying the duration of an audio clip.

AB - This paper introduces an algorithm for time-scale modification of audio signals based on using non-negative matrix factorization. The activation signals attributed to the detected components are used for identifying sound events. The segmentation of these events is used for detecting and preserving transients. In addition, the algorithm introduces the possibility of preserving the envelopes of overlapping sound events while globally modifying the duration of an audio clip.

KW - Audio Signals

KW - Non-Negative Matrix Factorization

KW - Transients

KW - Algorithm

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M3 - Conference contribution

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BT - Proceedings of the 22nd International Conference on Digital Audio Effects

PB - Birmingham City University

CY - Birmingham

T2 - 22nd International Conference on Digital Audio Effects

Y2 - 2 September 2019 through 6 September 2019

ER -

Time Scale Modification of Audio Using Non-Negative Matrix Factorization

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