Sitrano: A Matlab App for Sines-Transients-Noise Decomposition of Audio Signals
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. SiTraNo and its
source code are available on a companion website and repository.