Skip to main content
Log in

A new multiformat rhythm game for music tutoring

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Notes

  1. Sample videos are uploading in ATIC group, http://www.atic.uma.es/Videos/Multiformatrhythmgamemusictutoring/MultiformatRhythmGameVideosamples.html, last retrieved 11/11/2014

References

  1. 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

    Article  Google Scholar 

  2. 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

    Book  Google Scholar 

  3. Barbancho AM, Tardón LJ, Barbancho I (2010) Pic detector for piano chords. EURASIP. J Adv Sig Process. Hindawi Publishing Corporation 2010:1–11

    MATH  Google Scholar 

  4. Barbancho I, Rosa-Pujazón A, Tardón LJ, Barbancho AM (2013) Human-computer interaction and music. Sound-Perception-Performance 367–389

  5. Cataltepe Z, Yaslan Y, Sonmez A (2007) Music genre classification using midi and audio features. EURASIP. J Appl Signal Process 2007:1–11

    Article  MATH  Google Scholar 

  6. Dixon S (2001) Automatic extraction of tempo and beat from expressive performances. J New Music Res 30:39–58

    Article  Google Scholar 

  7. Dixon S (2006) Onset detection revisited. In: Proceedings of the International Conference on Digital Audio Effects 2006 (DAFx2006)

  8. 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

  9. Harmonix Guitarhero. http://www.guitarhero.com, last retrieved 04/06/2014 (2014)

  10. Harmonix Rock band. http://www.rockband.com/, last retrieved 04/06/2014 (2014)

  11. Kostka S, Payne D (2008) Total harmony. McGraw-Hill Higher Education

  12. Krumhansl CL (1990) Cognitive foundations of musical pitch. Oxford University Press, New York

    Google Scholar 

  13. Merwe A, Der V, Schulze W (2011) Music generation with markov models. IEEE Multimedia 18:78–85

    Article  Google Scholar 

  14. MIDI-Manufacturers-Association Midi specifications. http://www.midi.org, last retrieved 04/06/2014 (2014)

  15. 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

    Article  Google Scholar 

  16. Pampalk E (2006) Computational models of music similarity and their application in music information retrieval. Technischen Universitt Wien

  17. 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

  18. 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

    Article  Google Scholar 

  19. 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

  20. 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

  21. Ryynänen M, Klapuri A (2008) Automatic transcription of melody, bass line and chords in polyphonic music. Comput Music J 32:72–86

    Article  Google Scholar 

  22. 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

  23. 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

    Article  Google Scholar 

  24. Tardón LJ, Barbancho I, Barbancho AM, Roig C (2014) A probability model for key analysis in music. Knowl Based Syst 67:169–179

    Article  Google Scholar 

  25. 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

    Google Scholar 

  26. 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)

  27. UnrealVoodoo Frests on fire. http://fretsonfire.sourceforge.net, last retrieved 04/06/2014 (2014)

  28. 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

Download references

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

Authors

Corresponding author

Correspondence to Ana M. Barbancho.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

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

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-015-2478-8

Keywords

Navigation