{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:36:11Z","timestamp":1760236571118,"version":"build-2065373602"},"reference-count":41,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T00:00:00Z","timestamp":1638230400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Entropy"],"abstract":"<jats:p>The accurate description of a complex process should take into account not only the interacting elements involved but also the scale of the description. Therefore, there can not be a single measure for describing the associated complexity of a process nor a single metric applicable in all scenarios. This article introduces a framework based on multiscale entropy to characterize the complexity associated with the most identifiable characteristic of songs: the melody. We are particularly interested in measuring the complexity of popular songs and identifying levels of complexity that statistically explain the listeners\u2019 preferences. We analyze the relationship between complexity and popularity using a database of popular songs and their relative position in a preferences ranking. There is a tendency toward a positive association between complexity and acceptance (success) of a song that is, however, not significant after adjusting for multiple testing.<\/jats:p>","DOI":"10.3390\/e23121613","type":"journal-article","created":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T20:29:27Z","timestamp":1638304167000},"page":"1613","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Towards a Measure for Characterizing the Informational Content of Audio Signals and the Relation between Complexity and Auditory Encoding"],"prefix":"10.3390","volume":"23","author":[{"given":"Daniel","family":"Guerrero","sequence":"first","affiliation":[{"name":"Posgrado en Ciencia e Ingenier\u00eda de la Computaci\u00f3n, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Mexico City 04510, Mexico"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3507-1821","authenticated-orcid":false,"given":"Pedro","family":"Rivera","sequence":"additional","affiliation":[{"name":"Centro de Ciencias de la Complejidad, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Mexico City 04510, Mexico"}]},{"given":"Gerardo","family":"Febres","sequence":"additional","affiliation":[{"name":"Departamento de Procesos y Sistemas, Universidad Sim\u00f3n Bol\u00edvar, Sartenejas, Baruta 1080, Miranda, Venezuela"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0193-3067","authenticated-orcid":false,"given":"Carlos","family":"Gershenson","sequence":"additional","affiliation":[{"name":"Centro de Ciencias de la Complejidad, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Mexico City 04510, Mexico"},{"name":"Instituto de Investigaciones en Matem\u00e1ticas Aplicadas y Sistemas, Universidad Nacional Aut\u00f3noma de M\u00e9xico, Mexico City 04510, Mexico"},{"name":"Lakeside Labs GmbH, Lakeside Park B04, 9020 Klagenfurt am W\u00f6rthersee, Austria"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,30]]},"reference":[{"key":"ref_1","unstructured":"Presti, D. 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