Abstract
In this paper, a new rhythm based game for tutored music learning is presented. The main differences with similar existing systems are: i) songs can be automatically extracted from any music file or printed score; ii) it works with multiple interfaces, ranging from any MIDI controller to most popular game controllers; iii) note sequences are obtained from the melody itself rather than from time features alone. The whole system has been successfully tested for different songs using different combinations of music instances and game controllers.
Similar content being viewed by others
Notes
Sample videos are uploading in ATIC group, http://www.atic.uma.es/Videos/Multiformatrhythmgamemusictutoring/MultiformatRhythmGameVideosamples.html, last retrieved 11/11/2014
References
Barbancho A, Klapuri A, Tardón LJ, Barbancho I (2012) Automatic transcription of guitar chords and fingering from audio. IEEE Trans Audio Speech Lang Process 20:915–921
Barbancho AM, Barbancho I, Tardón LJ, Urdiales C. (2009) Automatic edition of songs for guitar hero/frets on fire. In: Proceedings of the 2009 IEEE international conference on Multimedia and Expo, ICME’09. IEEE Press, Piscataway, NJ, USA, pp 1186–1189
Barbancho AM, Tardón LJ, Barbancho I (2010) Pic detector for piano chords. EURASIP. J Adv Sig Process. Hindawi Publishing Corporation 2010:1–11
Barbancho I, Rosa-Pujazón A, Tardón LJ, Barbancho AM (2013) Human-computer interaction and music. Sound-Perception-Performance 367–389
Cataltepe Z, Yaslan Y, Sonmez A (2007) Music genre classification using midi and audio features. EURASIP. J Appl Signal Process 2007:1–11
Dixon S (2001) Automatic extraction of tempo and beat from expressive performances. J New Music Res 30:39–58
Dixon S (2006) Onset detection revisited. In: Proceedings of the International Conference on Digital Audio Effects 2006 (DAFx2006)
Droettboom M, Fujinaga I, MacMillan K (2002) Optical music interpretation. In: Caelli T, Amin A, Duin RPW, Kamel MS, de Ridder D (eds) Structural, syntactic, and statistical pattern recognition, joint IAPR international workshops SSPR 2002 and SPR 2002, Windsor, Ontario, Canada, August 6-9, 2002, Proceedings, Lecture Notes in Computer Science, vol 2396. Springer, pp 378–386
Harmonix Guitarhero. http://www.guitarhero.com, last retrieved 04/06/2014 (2014)
Harmonix Rock band. http://www.rockband.com/, last retrieved 04/06/2014 (2014)
Kostka S, Payne D (2008) Total harmony. McGraw-Hill Higher Education
Krumhansl CL (1990) Cognitive foundations of musical pitch. Oxford University Press, New York
Merwe A, Der V, Schulze W (2011) Music generation with markov models. IEEE Multimedia 18:78–85
MIDI-Manufacturers-Association Midi specifications. http://www.midi.org, last retrieved 04/06/2014 (2014)
Molina E, Tardón LJ, Barbancho AM, Barbancho I (2015) Sipth: Singing transcription based on hysteresis defined on the pitch-time curve. IEEE Trans Audio Speech Lang Process 99:325–334
Pampalk E (2006) Computational models of music similarity and their application in music information retrieval. Technischen Universitt Wien
Pinto JRC, Vieira P, Ramalho M, Mengucci M, Pina P, Muge F (2000) Ancient music recovery for digital libraries. In: Borbinha JL, Baker T (eds) ECDL, Lecture Notes in Computer Science, vol 1923. Springer, pp 24–34
Roig C, Tardón LJ, Barbancho I, Barbancho A (2014) Automatic melody composition based on a probabilistic model of music style and harmonic rules. Knowl Based Syst 71:419–434
Rosa-Pujazón A, Barbancho I, Tardón LJ, Barbancho AM (2013) Conducting a virtual ensemble with a kinect device. In: SMAC 2013 - Stockholm Music Acoustics Conference 2013, pp. 284–291
Rosa-Pujazón A, Barbancho I, Tardón LJ, Barbancho AM (2015) A virtual reality drumkit simulator system with a kinect device. Int J Creat Interfaces Comput Graph 1–15
Ryynänen M, Klapuri A (2008) Automatic transcription of melody, bass line and chords in polyphonic music. Comput Music J 32:72–86
Shan M, Kuo F, Chen M (2002) Music style mining and classification by melody. In: IEEE international conference on multimedia and expo (ICME2002), pp. 97 – 100
Stevens SS (1937) Je, Newman, E.B.: A scale for the measurement of the psychological magnitude of pitch. J Acoust Soc Amer 8:185–190
Tardón LJ, Barbancho I, Barbancho AM, Roig C (2014) A probability model for key analysis in music. Knowl Based Syst 67:169–179
Tardón LJ, Sammartino S, Barbancho I, Gómez V, Oliver A (2009) Optical music recognition for scores written in white mensural notation. J Image Video Process 2009:6:3–6:3. doi:10.1155/2009/843401
Uhle C, Herre J (2003) Estimation of tempo, micro time and time signature from percussive music. In: Proceedings of digital audio effects workshop 2003 (DAFx2003)
UnrealVoodoo Frests on fire. http://fretsonfire.sourceforge.net, last retrieved 04/06/2014 (2014)
Yeh TC, Li HH, Roger JS (2014) Automatic hit time generation for music rhythm games. In: 15th International Society for Music Information Retrieval Conference, ISMIR2014
Acknowledgments
This work has been funded by the Ministerio de Economía y Competitividad of the Spanish Government under Project No. TIN2013-47276-C6-2-R and Project No. TEC2011-29106, by the Junta de Andalucía under Project No. P11-TIC-7154 and Project No. TIC-7839. The authors are grateful to the person in charge of the Archivo de la Catedral de Málaga, who allowed the utilization of the data sets used in this work. Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Jaime, J., Barbancho, I., Urdiales, C. et al. A new multiformat rhythm game for music tutoring. Multimed Tools Appl 75, 4349–4362 (2016). https://doi.org/10.1007/s11042-015-2478-8
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11042-015-2478-8