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

Leonardo Fierro, Vesa Välimäki

Acoustics Lab, Dept. of Signal Processing and Acoustics, Aalto University, Espoo, Finland.

Companion page for the DAFx 2021 paper.

Latest Release (GitHub)

Read Paper (ResearchGate)


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 sound and by comparing different methods against each other, evaluating the separation quality both audibly and visually.

Application Example 1 - Dynamic Range Reduction

S: 100% - T: 100% - N: 100%

S: 100% - T: 50% - N: 100%

S: 100% - T: 0% - N: 20%

Application Example 2 - Comparison of STN separation methods





HPR (single)
HPR (double)

Last updated: 08.09.2021

Contact address: [leonardo.fierro@aalto.fi]