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Predicting agreement and disagreement in the perception of tempo
- Source :
- Lecture Notes in Computer Science ISBN: 9783319129754, CMMR, Lecture Notes in Computer Science, Lecture Notes in Computer Science, 2014, Sound, Music, and Motion, 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers (8905), p313-329. ⟨10.1007/978-3-319-12976-1_20⟩, Lecture Notes in Computer Science, Springer, 2014, Sound, Music, and Motion, 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers (8905), p313-329. ⟨10.1007/978-3-319-12976-1_20⟩, CMMR (International Symposium on Computer Music Multidisciplinary Research), CMMR (International Symposium on Computer Music Multidisciplinary Research), 2013, NA, France
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- International audience; In the absence of a music score, tempo can only be defined by its perception by users. Thus recent studies have focused on the estimation of perceptual tempo defined by listening experiments. So far, algorithms have only been proposed to estimate the tempo when people agree on it. In this paper, we study the case when people disagree on the perception of tempo and propose an algorithm to predict this disagreement. For this, we hypothesize that the perception of tempo is correlated to a set of variations of various viewpoints on the audio content: energy, harmony, spectral-balance variations and short-term-similarity-rate. We suppose that when those variations are coherent, a shared perception of tempo is favoured and when they are not, people may perceive different tempi. We then propose several statistical models to predict the agreement or disagreement in the perception of tempo from these audio features. Finally, we evaluate the models using a test-set resulting from the perceptual experiment performed at Last-FM in 2011.
- Subjects :
- [SPI.ACOU]Engineering Sciences [physics]/Acoustics [physics.class-ph]
tempo estimation
[SPI.ACOU] Engineering Sciences [physics]/Acoustics [physics.class-ph]
tempo agreement
Computer science
Energy (esotericism)
media_common.quotation_subject
Speech recognition
02 engineering and technology
Agreement
030507 speech-language pathology & audiology
03 medical and health sciences
tempo disagreement
Perception
[INFO.INFO-SD]Computer Science [cs]/Sound [cs.SD]
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Active listening
NA
perceptual tempo
0305 other medical science
Set (psychology)
[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing
media_common
[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
Subjects
Details
- Language :
- French
- ISBN :
- 978-3-319-12975-4
- ISSN :
- 03029743
- ISBNs :
- 9783319129754
- Database :
- OpenAIRE
- Journal :
- Lecture Notes in Computer Science ISBN: 9783319129754, CMMR, Lecture Notes in Computer Science, Lecture Notes in Computer Science, 2014, Sound, Music, and Motion, 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers (8905), p313-329. ⟨10.1007/978-3-319-12976-1_20⟩, Lecture Notes in Computer Science, Springer, 2014, Sound, Music, and Motion, 10th International Symposium, CMMR 2013, Marseille, France, October 15-18, 2013. Revised Selected Papers (8905), p313-329. ⟨10.1007/978-3-319-12976-1_20⟩, CMMR (International Symposium on Computer Music Multidisciplinary Research), CMMR (International Symposium on Computer Music Multidisciplinary Research), 2013, NA, France
- Accession number :
- edsair.doi.dedup.....4b116ad8bdf9d5c7a9e9c3351d63f0f1