SiTraNo+: An audio application for sound decomposition and time-scale modification

Tantep Sinjanakhom, Leonardo Fierro, Vesa Välimäki

Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientific


Signal decomposition and time-scale modification are established and active
research topics in the audio signal processing field. This paper presents SiTraNo+, an interactive audio player application written in C++ based on the JUCE framework, featuring audio signal decomposition into sines, transients, and noise with time-scale modification capability. The input signal is separated into different components using the two-stage enhanced fuzzy decomposition method. This method applies fuzzy spectral masks, which are computed based on transientness, to the spectrograms. The level of each component can be adjusted and mixed freely. For the time-scale modification process, the sinusoidal and noise components are applied with a phase-locked vocoder. Transients are preserved and relocated with respect to the time-scale modification factor. Additionally, the playback speed can be adjusted via resampling. If the playback speed aligns with the time-scale modification factor, a pitch-shifting effect can be created. The application also features three real-time visualizers for the waveform in the time domain, the spectrum, and the spectrogram of the output, all changing continuously as the signal playback proceeds. SiTraNo+ enables the exploration and manipulation of the decomposed audio signal as well as the experimentation with temporal scaling
Original languageEnglish
Title of host publicationAkustiikkapäivät 2023
EditorsTapio Lokki
Place of PublicationEspoo
PublisherAkustinen Seura ry
Number of pages6
ISBN (Electronic)978-952-69879-1-0
Publication statusPublished - 15 Nov 2023
MoE publication typeB3 Non-refereed conference publication
EventAkustiikkapäivät - Tampere-talo, Tampere, Finland
Duration: 15 Nov 202316 Nov 2023


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  • acoustics
  • acoustic measurement
  • sweep measurements
  • correlation


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