Abstract
In this paper we extend the ubiquitous music information retrieval technology of the quantized chromagram (or chroma feature) to propose a continuous chromagram, an octave-reduced spectrogram that logarithmically reduces the frequencies of a sound spectrum onto a half-open interval [a, 2a) we call a chroma octave. We prove that for any real number \(r>1\), any two logarithmically reduced spectrograms onto intervals of reduction \([a_1, ra_1)\) and \([a_2, ra_2)\) with \(a_1 \ne a_2\) are equivalent up to logarithmic scaling and rotation. In the case \(r=2\) this proof shows why all chroma octaves bounded by both the upper and lower frequencies of the sound spectrum in question yield essentially the same continuous chromagram. We then propose a family of pseudometrics on sound spectra and discuss potential applications to analysis and composition.
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Lenchitz, J., Coniglio, A. (2022). Continuous Chromagrams and Pseudometric Spaces of Sound Spectra. In: Montiel, M., Agustín-Aquino, O.A., Gómez, F., Kastine, J., Lluis-Puebla, E., Milam, B. (eds) Mathematics and Computation in Music. MCM 2022. Lecture Notes in Computer Science(), vol 13267. Springer, Cham. https://doi.org/10.1007/978-3-031-07015-0_25
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