Predicting the popularity of a song based on harmonic surprise
US-2020265083-A1 · Aug 20, 2020 · US
US11048747B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11048747-B2 |
| Application number | US-202016786816-A |
| Country | US |
| Kind code | B2 |
| Filing date | Feb 10, 2020 |
| Priority date | Feb 15, 2019 |
| Publication date | Jun 29, 2021 |
| Grant date | Jun 29, 2021 |
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A system and method for estimating the popularity of song by calculating the (absolute and/or contrastive) harmonic surprise of each song in a corpus of music data, determining the popularity of each song in the corpus (e.g., based on a music chart, downloads, online streams), determining correlations between harmonic surprise and popularity, and estimating the popularity of an individual song based on the (absolute and/or contrastive) harmonic surprise of the individual song and the correlations between harmonic surprise and popularity.
Opening claim text (preview).
What is claimed is: 1. A method, comprising: receiving a corpus of music data, the corpus of music data including songs comprising notes arranged in chords; calculating one or more harmonic surprise metrics for each of the songs included in the corpus of music data, the one or more harmonic surprise metrics for each song being indicative of the harmonic surprise of each song; receiving preference data including information indicative of the popularity of the songs included in the corpus of music data; identifying a popularity metric for each of the songs in the corpus of music data, the popularity metric for each song being indicative of the popularity of each song; determining correlations between the harmonic surprise metrics and the popularity metrics for the songs in the corpus of music data; identifying an individual song; calculating the one or more harmonic surprise metrics for the individual song; and estimating the popularity of the individual song based at least in part on the one or more harmonic surprise metrics for the individual song and the correlations between the harmonic surprise metrics and the popularity metrics for the songs in the corpus of music data.
for performance evaluation, i.e. judging, grading or scoring the musical qualities or faithfulness of a performance, e.g. with respect to pitch, tempo or other timings of a reference performance · CPC title
Chord detection and/or recognition, e.g. for correction, or automatic bass generation · CPC title
Chord progression · CPC title
using metadata automatically derived from the content · CPC title
Circuits for establishing the harmonic content of tones {, or other arrangements for changing the tone colour} · CPC title
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