TIV.lib: an open-source library for the tonal description of musical audio
This tool addresses the need for accessible tonal description in Music Information Retrieval, though it is incremental as it builds on existing methods.
The authors introduced TIV.lib, an open-source library for analyzing tonal aspects of musical audio using a perceptually-inspired Tonal Interval Vector space, enabling computation of descriptors like harmonic change and dissonance. The library is cross-platform, implemented in Python and Pure Data, and supports both online and offline use.
In this paper, we present TIV.lib, an open-source library for the content-based tonal description of musical audio signals. Its main novelty relies on the perceptually-inspired Tonal Interval Vector space based on the Discrete Fourier transform, from which multiple instantaneous and global representations, descriptors and metrics are computed - e.g., harmonic change, dissonance, diatonicity, and musical key. The library is cross-platform, implemented in Python and the graphical programming language Pure Data, and can be used in both online and offline scenarios. Of note is its potential for enhanced Music Information Retrieval, where tonal descriptors sit at the core of numerous methods and applications.