Sensory Dissonance feature extraction: a case study

8 pages•Published: January 24, 2019

Abstract

An audio feature can become relevant as a musical feature. This paper focuses on the “Sensory Dissonance” audio feature and its use as a musical parameter useful to analyze and compose music of all genres. It is possible by developing a software tool able to detect the presence of dissonance understood as Sensory Dissonance, to quantify the dissonance and then to draw a graphic function of the traced dissonance. This function is placed under the sound which it relates, while the music signal may be written according to the western notation system. The obtained curve does not only provide information concerning the degree of dissonance: it also allows a deeper reading of the entire analyzed musical work.

Keyphrases: audio feature extraction, music analysis, music composition, music education, music information retrieval, semantic audio, sensory dissonance

In: Philipp Kessling and Thomas Görne (editors). KLG 2017. klingt gut! 2017 – international Symposium on Sound, vol 1, pages 52-59.

Links:	https://easychair.org/publications/paper/qSM8
	https://doi.org/10.29007/qnsj

BibTeX entry

@inproceedings{KLG2017:Sensory_Dissonance_feature_extraction,
  author    = {Anna Terzaroli},
  title     = {Sensory Dissonance feature extraction: a case study},
  booktitle = {KLG 2017. klingt gut! 2017 – international Symposium on Sound},
  editor    = {Philipp Kessling and Thomas Görne},
  series    = {EPiC Series in Technology},
  volume    = {1},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2516-2322},
  url       = {/publications/paper/qSM8},
  doi       = {10.29007/qnsj},
  pages     = {52-59},
  year      = {2019}}

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