Developing Software for Dancing Tango in Compás

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 10527 LNAI, Issue , 2017, Pages 91-103

  Amiot, Emmanuel ^a   Lerat, Jean Philippe ^b   Recoules, Bérenger ^c   Szabo, Valérie ^b  

^a LAMPS   (France)

^b KBCOO   (France)

^c Freelance Artist   (France)

Author keywords

Beat track; Dancing; Pedagogical software; Pedagogy studies; Rhythm; Tango

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; COMPUTERS;

BEAT-TRACK; DANCING; PEDAGOGY STUDIES; RHYTHM; TANGO;

SIGNAL PROCESSING;

EID: 85035101400     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-71827-9_8     Document Type: Conference Paper

References (14)

1. Amiot, E.: Music Through Fourier Space. CMS. Springer, Switzerland (2016). https://doi.org/10.1007/978-3-319-45581-5
2. Cook, P., Rouse, A., Wilson, M., Reichmuth, C.: A California Sea Lion (Zalophus californianus) can keep the beat: motor entrainment to rhythmic auditory stimuli in a non vocal mimic. J. Comp. Psychol. 127, 412–427 (2013)
3. Lavocah, M.: Tango Stories: Musical Secrets, 2nd edn. Milonga Press (2014)
4. Palmer, C., Lidji, P., Peretz, I.: Losing the beat: deficits in temporal coordination. Philos. Trans. Roy. Soc. B Biol. Sci. 369, 1658 (2014)
5. Davies, M., Brossier, P., Fast implementations for perceptual tempo extraction. http://www.music-ir.org/evaluation/mirex-results/articles/tempo/davies.pdf
6. Stark, A.M., Davies, M.E.P, Plumbley, M.D.: Real-time beat-synchronous analysis of musical audio. In: Proceedings of 12th International Conference on Digital Audio Effects (DAFx) (2009)
7. Davies, M.E.P., Plumbley, M.D.: Context-dependent beat tracking of musical audio. IEEE Trans. Audio Speech Lang. Process. 15(3), 1009–1020 (2007)
8. Davies, M.E.P, Plumbley, M.D.: Beat tracking with a two state model. In: Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2005, 3 Philadelphia, USA, 19–23 March 2005, pp. 241–244 (2005)
9. Gouyon, F., Dixon, S.: A review of automatic rhythm description systems. Comput. Music J. 29, 34–54 (2005)
10. https://github.com/CPJKU/madmom
11. Eyben, F., Böck, S., Schuller, B., Graves, A.: Universal onset detection with bidirectional long short-term memory neural networks. In: Proceedings of the 11th International Conference on Music Information Retrieval (ISMIR), August 2010, pp. 589–594 (2010)
12. Callender, C.: Continuous harmonic spaces. J. Music Theor. 51(2), 277–332 (2007)
13. Foote, J., Cooper, M.: Visualizing musical structure and rhythm via self-similarity. http://musicweb.ucsd.edu/∼sdubnov/CATbox/Reader/FXPAL-PR-01-152.pdf
14. Open-source language. https://www.ruby-lang.org/en