Statistical modeling of bowing control applied to violin sound synthesis

IEEE Transactions on Audio, Speech and Language Processing

Volumn 18, Issue 4, 2010, Pages 855-871

  Maestre, Esteban ^a   Blaauw, Merlijn ^a   Bonada, Jordi ^a   Guaus, Enric ^a   Perez, Alfonso ^a  

^a UNIVERSITAT POMPEU FABRA   (Spain)

Author keywords

Audio systems; Gaussian distributions; Gesture modeling; Music; Pattern classification; Signal synthesis; Violin bowing control

Indexed keywords

ANALYSIS AND SYNTHESIS; BOWED STRING; BOWING PARAMETERS; CONTOUR ANALYSIS; CONTROL PARAMETERS; CURVE SEGMENTS; DIGITAL WAVEGUIDES; ESTIMATED MODEL; FINITE LENGTH; GAUSSIAN MIXTURES; INSTRUMENT CONTROL; MUSIC; NON-INTRUSIVE; PATTERN CLASSIFICATION; PHYSICAL MODEL; PHYSICAL MODELING; PLANNING ALGORITHMS; SENSING TECHNIQUES; SIGNAL SYNTHESIS; SOUND SYNTHESIS; SPECTRAL-DOMAIN; STATISTICAL MODELING; STATISTICAL MODELS;

AUDIO ACOUSTICS; AUDIO SYSTEMS; CONTROL SYSTEM ANALYSIS; GAUSSIAN DISTRIBUTION; MODELS; MUSICAL INSTRUMENTS; SENSORS;

COMPUTER MUSIC;

EID: 77951222912     PISSN: 15587916     EISSN: None     Source Type: Journal    
DOI: 10.1109/TASL.2010.2040783     Document Type: Article

References (42)

1. C. Cadoz and C. Ramstein, "Capture, representation and composition of the instrumental gesture," in Proc. 1990 Int. Computer Music Conf., Glasgow, U.K., 1990, pp. 53-56.
2. E. Maestre, "Coding instrumental gestures: Towards automatic characterization of instrumental gestures in excitation-continuous musical instruments," DEA Doctoral pre-thesis work, Universitat Pompeu Fabra, Barcelona, Spain, 2006.
3. A. Askenfelt, "Measurement of bow motion and bow force in violin playing," J. Acoust. Soc. Amer., vol.80, no.4, pp. 1007-1015, 1986.
4. A. Askenfelt, "Measurement of the bowing parameters in violin playing. II. bow-bridge distance, dynamic range, and limits of bow force," J. Acoust. Soc. Amer., vol.86, no.2, pp. 503-516, 1989.
5. J. A. Paradiso and N. A. Gershenfeld, "Musical applications of electric field sensing," Comput. Music J., vol.21, no.2, pp. 69-89, 1997.
6. D. Young, "A methodology for investigation of bowed string performance through measurement of violin bowing technique," Ph.D. dissertation, Mass. Inst. of Technol., Cambridge, U.K., 2007.
7. N. Rasamimanana, E. Fléty, and F. Bevilacqua, "Gesture analysis of violin bow strokes," Lecture Notes in Comput. Sci., vol.3881, pp. 145-155, 2006. (Pubitemid 43980002)
8. E. Schoonderwaldt, N. Rasamimanana, and F. Bevilacqua, "Combining accelerometer and video camera: reconstruction of bow velocity profiles," in Proc. 2006 Int. Conf. New Interfaces for Musical Expression, Paris, France, 2006, pp. 200-203.
9. M. Demoucron, "On the control of virtual violins: Physical modelling and control of bowed string instruments," Ph.D. dissertation, Univ. Pierre et Marie Curie (Paris 6) and the Royal Inst. of Technol., KTH, Stockholm, 2008.
10. M. Demoucron, A. Askenfelt, and R. Caussé, "Measuring bow force in bowed string performance: Theory and implementation of a bow force sensor," Acta Acustica United with Acustica, vol.95, no.4, pp. 718-732, 2009.
11. E. Guaus, J. Bonada, A. Pérez, E. Maestre, and M. Blaauw, "Measuring the bow pressing force in a real violin performance," in Proc. 2007 Int. Symp. Musical Acoust., Barcelona, Spain, 2007.
12. E. Maestre, J. Bonada, M. Blaauw, E. Guaus, and A. Pérez, "Acquisition of violin instrumental gestures using a commercial emf device," in Proc. 2007 Int. Comput. Music Conf., Copenhagen, Denamrk, 2007, vol.1, pp. 386-393.
13. E. Schoonderwaldt and M. Demoucron, "Extraction of bowing parameters from violin performance combining motion capture and sensors," J. Acoust. Soc. Amer., vol.126, no.5, pp. 2695-2708, Nov. 2009.
14. N. H. Rasamimanana, D. Bernardin, M.Wanderley, and F. Bevilacqua, "String bowing gestures at varying bow stroke frequencies: A case study," in Advances in Gesture-Based Human-Computer Interaction and Simulation, ser. Lecture Notes in Computer Science. New York: Springer Verlag, 2009, vol.5085, pp. 216-226.
15. D. Young, "Classification of common violin bowing techniques using gesture data from a playable measurement system," in Proc. 2008 Int. Conf. New Interfaces for Musical Expression, Genova, Italy, 2008.
16. N. H. Rasamimanana and F. Bevilacqua, "Effort-based analysis of bowing movements: evidence of anticipation effects," J. New Music Res., vol.37, no.4, pp. 339-351, 2008.
17. C. Chafe, "Simulating performance on a bowed instrument," Stanford Univ., Stanford, CA, CCRMA Tech. Rep. STAN-M48, 1988.
18. D. Jaffe and J. Smith, "Performance expression in commuted waveguide synthesis of bowed strings," in Proc. 1995 Int. Comput. Music Conf., Banff, AB, Canada, 1995.
19. E. Rank, "A player model for MIDI control of synthetic bowed strings," in Proc. DIDEROT Forum on Math. and Music, Vienna, Austia, 1999.
20. D. Escudero, V. Cardeñoso, and A. Bonafonte, "Corpus-based extraction of quantitative prosodic parameters of stress groups in spanish," in Proc. 2002 Int. Conf. Acoust., Speech, Signal Process., Orlando, FL, 2002.
21. B. Battey, "Bézier spline modeling of pitch-continuous melodic expression and ornamentation," Comput. Music J., vol.28, no.4, pp. 25-39, 2004. (Pubitemid 40085154)
22. E. Maestre, J. Bonada, and O. Mayor, "Modeling voice articulation gestures in singing voice performance," in Preprints of the Audio Eng,. Soc. 121st Conv., San Francisco, CA, 2006.
23. J. O. Smith, Physical Audio Signal Processing, December 2008 Edition. Stanford, CA: [Online]. Available: http://ccrma.stanford. edu/∼jos/pasp/, accessed 2009, online book
24. D. Young and S. Serafin, "Playability evaluation of a virtual bowed string instrument," in Proc. 2006 Int. Conf. New Interfaces for Musical Expression, Montréal, QC, Canada, 2003, pp. 104-108.
25. S. Serafin, "The sound of friction: Real-time models, playability and musical applications," Ph.D. dissertation, Stanford Univ., Stanford, CA, 2004.
26. B. Schoner, C. Cooper, and N. Gershenfeld, "Cluster weighted sampling for syntheis and cross-synthesis of violin family instruments," in Proc. 2000 Int. Comput. Music Conf., Berlin, Germany, 2000.
27. E. Lindemann, "Music synthesis with reconstructive phrase modeling," IEEE Signal Process. Mag., vol.24, no.2, pp. 80-91, 2007. (Pubitemid 46534533)
28. A. Pérez, J. Bonada, E. Maestre, E. Guaus, and M. Blaauw, "Combining performance actions with spectral models for violin sound transformation," in Proc. 2007 Int. Congr. Acoust., Madrid, Spain, 2007.
29. E. Maestre, "Data-driven statistical modeling of violin bowing gesture parameter contours," in Proc. 2009 Int. Computer Music Conf., Montréal, QC, Canada, 2009.
30. E. Guaus, M. Blaauw, J. Bonada, E. Maestre, and Pérez, "A calibration method for accurately measuring bowforce in real violin performance," in Proc. 2009 Int. Comput. Music Conf., Montréal, QC, Canada, 2009.
31. E. Maestre, "Modeling instrumental gestures: An analysis/synthesis framework for violin bowing," Ph.D. dissertation, Univ. Pompeu Fabra, Barcelona, Spain, 2009.
32. A. Pérez, "Enhancing spectral synthesis techniques with performance gestures using the violin as a case study," Ph.D. dissertation, Univ. Pompeu Fabra, Barcelona, Spain, 2009.
33. A. J. Viterbi, "Error bounds for convolutional codes and an asymptotically optimum decoding algorithm," IEEE Trans. Inf. Theory, vol.IT-13, no.2, pp. 260-269, Apr. 1967.
34. M. Karjalainen, V. Välimäki, H. Penttinen, and H. Saastamoinen, "DSP equalization of electret film pickup for the acoustic guitar," J. Audio Eng. Soc., vol.48, no.12, pp. 1183-1193, 2000. (Pubitemid 32168738)
35. J. B. MacQueen, "Some methods of classification and analysis of multivariate observations," in Proc. 5th Berkeley Symp. Math. Statist. Probab., 1967, pp. 281-297.
36. P. Cook and G. Scavone, The Synthesis Toolkit in C++, 2007 Edition [Online]. Available: http://ccrma.stanford.edu/software/stk/ accessed 2009, online software. 17
37. P. Cook and D. Trueman, "A database of measured musical instrument body radiation impulse responses, and computer applications for exploring and utilizing the measured filter functions," in Proc. 1998 Int. Symp. Musical Acoust., Leavenworth, WA, 1998.
38. E. Maestre, R. Ramírez, S. Kersten, and X. Serra, "Expressive concatenative synthesis by reusing samples from real performance recordings," Comput. Music J., vol.33, no.4, pp. 23-42, 2009.
39. D. Schwarz, "Data-driven concatenative sound synthesis," Ph.D. dissertation, IRCAM Centre Popidou, Univ. Pierre et Marie Curie (Paris 6), Paris, France, 2004.
40. J. Laroche, "Frequency-domain techniques for high-quality voice modifications," in Proc. 2003 Int. Conf. Digital Audio Effects, London, U.K., 2003.
41. J. Bonada, "Automatic technique in frequency domain for near-lossless time-scale modification of audio," in Proc. 2000 Int. Comput. Music Conf., Berlin, Germany, 2000.
42. A. Pèrez, "Enhancing spectral synthesis techniques with performance gestures using the violin as a case study," Ph.D. dissertation, Univ. Pompeu Fabra, Barcelona, Spain, 2009.