SiTraNo: A MATLAB App for Sines-Transients-Noise Decomposition of Audio Signals

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

8 Downloads (Pure)

Abstract

Decomposition of sounds into their sinusoidal, transient, and noise components is an active research topic and a widely-used tool in audio processing. Multiple solutions have been proposed in recent years, using time–frequency representations to identify either horizontal and vertical structures or orientations and anisotropy in the spectrogram of the sound. In this paper, we present SiTraNo: an easy-to-use MATLAB application with a graphic user interface for audio decomposition that enables visualization and access to the sinusoidal, transient, and noise classes, individually. This application allows the user to choose between different well-known separation methods to analyze an input sound file, to instantaneously control and remix its spectral components, and to visually check the quality of the separation, before producing the desired output file. The visualization of common artifacts, such as birdies and dropouts, is demonstrated. This application promotes experimenting with the sound decomposition process by observing the effect of variations for each spectral component on the original soundand by comparing different methods against each other, evaluating the separation quality both audibly and visually. SiTraNo and its source code are available on a companion website and repository.
Original languageEnglish
Title of host publicationProceedings of the International Conference on Digital Audio Effects
EditorsGiampaolo Evangelista, Nicki Holigaus
Place of PublicationVienna, Austria
Pages73-80
Number of pages8
Edition2021
Publication statusPublished - 8 Sep 2021
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Digital Audio Effects - Online, Vienna, Austria
Duration: 8 Sep 202110 Sep 2021
Conference number: 24
https://dafx2020.mdw.ac.at/

Publication series

NameProceedings of the International Conference on Digital Audio Effects
ISSN (Print)2413-6700
ISSN (Electronic)2413-6689

Conference

ConferenceInternational Conference on Digital Audio Effects
Abbreviated titleDAFx
Country/TerritoryAustria
CityVienna
Period08/09/202110/09/2021
Internet address

Keywords

  • Audio systems
  • filtering algorithms
  • Fuzzy logic
  • Music
  • Source separation
  • Spectrogram

Fingerprint

Dive into the research topics of 'SiTraNo: A MATLAB App for Sines-Transients-Noise Decomposition of Audio Signals'. Together they form a unique fingerprint.

Cite this