4,503
Views
12
CrossRef citations to date
0
Altmetric
Articles

A Low-Cost Real-Time Tracking System for Violin

, &
Pages 305-323 | Received 14 Jan 2015, Accepted 13 Aug 2015, Published online: 08 Oct 2015

References

  • Askenfelt, A. (1986). Measurement of bow motion and bow force in violin playing. Journal of the Acoustical Society of America, 80, 1007.
  • Askenfelt, A. (1989). Measurement of the bowing parameters in violin playing. II: Bow-bridge distance, dynamic range, and limits of bow force. Journal of the Acoustical Society of America, 86, 503.
  • Benetos, E. (2012). Automatic transcription of polyphonic music exploiting temporal evolution (PhD thesis), Queen Mary University of London.
  • Bevilacqua, F., Rasamimanana, N., Fléty, E., Lemouton, S., & Baschet, F. (2006). The augmented violin project: research, composition and performance report. Proceedings of the 2006 International Conference on New Interfaces for Musical Expression (NIME06), Paris, France. (pp. 402–406). Available online: http://www.nime.org/proceedings/2006/nime2006_402.pdf.
  • Bishop, C.M., & Nasrabadi, N.M. (2006). Pattern recognition and machine learning, Vol. 1. New York: Springer.
  • Böck, S., Arzt, A., Krebs, F., & Schedl, M. (2012a). Online realtime onset detection with recurrent neural networks. In Proceedings of the 15th International Conference on Digital Audio Effects (DAFx-12), York, UK. http://www.dafx12.york.ac.uk/papers/dafx12submission_4.pdf
  • Böck, S., Krebs, F. & Schedl, M. (2012b). Evaluating the online capabilities of onset detection methods. Proceedings of the 13th International Society for Music Information Retrieval Conference (ISMIR 2012) (pp. 49–54). International Canada: Society for Music Information Retrieval.
  • Böck, S., & Widmer, G. (2013). Maximum filter vibrato suppression for onset detection. In Proceedings of the 16th International Conference on Digital Audio Effects (DAFx-13), Maynooth, Ireland. http://dafx13.nuim.ie/papers/09.dafx2013_submission_12.pdf
  • Buxton, W., & Dannenberg, R. (1986). The computer as musical accompanist. ACM SIGCHI Bulletin, 17, 41–43.
  • Collins, N. (2005a). A comparison of sound onset detection algorithms with emphasis on psycho-acoustically motivated detection functions. In Audio Engineering Society Convention 118 (pp. 28–31). New York: Audio Engineering Society.
  • Collins, N. (2005b). Using a pitch detector for onset detection. In Proceedings of 6th International Conference on Music Information Retrieval (ISMIR 2005) (pp. 100–106). London: Queen Mary, University of London.
  • Cont, A. (2008, August). ANTESCOFO: Anticipatory synchronization and control of interactive parameters in computer music. In International Computer Music Conference (ICMC), Belfast, Ireland. pp. 33–40.
  • De Cheveigné, A., & Kawahara, H. (2002). YIN, a fundamental frequency estimator for speech and music. Journal of the Acoustical Society of America, 111, 1917.
  • Demoucron, M. (2008). On the control of virtual violins-Physical modelling and control of bowed string instruments (PhD thesis), Université Pierre et Marie Curie-Paris VI, Paris, France.
  • Dixon, S. (2006). Onset detection revisited. Proceedings of the 9th International Conference on Digital Audio Effects, (DAFx’06) Montreal, Canada. pp. 133–137.
  • Freed, A., Chaudhary, A., & Davila, B. (1997). Operating systems latency measurement and analysis for sound synthesis and processing applications. In Proceedings of the 1997 International Computer Music Conference (pp. 479–481) Thessaloniki, Greece.
  • Freed, A., Uitti, F.M., Mansfield, S., & MacCallum, J. (2013). “Old” is the new “New”: A fingerboard case study in recrudescence as a NIME development strategy. In Proceedings of NIME (pp. 442–445). Available online: http://www.nime.org/proceedings/2012/nime2012_256.pdf.
  • Grosshauser, T., Candia, V., Hildebrandt, H., & Tröster, G. (2012). Sensor based measurements of musicians’ synchronization issues. In Proceedings of NIME (6 pp.). Available online: http://nime.org/proceedings/2013/nime2013_286.pdf.
  • Grosshauser, T., Feese, S., & Tröster, G. (2013). Capacitive left hand finger and bow sensors for synchronization and rhythmical regularity analysis in string ensembles. In Proceedings of the Sound and Music Computing Conference 2013, SMC 2013, Stockholm, Sweden (pp. 438–442). Berlin: Logos Verlag.
  • Grosshauser, T., & Tröster, G. (2013). Finger position and pressure sensing techniques for stringed and keyboard instruments. In Proceedings of 13th International Conference on New Interfaces for Musical Expression (NIME13) (6 pp.). Available online: http://nime.org/proceedings/2013/nime2013_286.pdf.
  • Guaus, E., Bonada, J., Maestre, E., Pérez, A., & Blaauw, M. (2009). Calibration method to measure accurate bow force for real violin performances. In (2009) International Computer Music Conference (ICMC), Montreal, Canada.
  • Kapur, A., Lazier, A.J., Davidson, P., Wilson, R.S., & Cook, P.R. (2004). The electronic sitar controller. Proceedings of NIME (pp. 7–12). Available online:http://www.nime.org/proceedings/2004/nime2004_007.pdf.
  • Klapuri, A. (1999). Sound onset detection by applying psychoacoustic knowledge. In Proceedings of ICASSP (Vol. 6, pp. 3089–3092).
  • Machover, T. (1992). Hyperinstruments: A progress report, 1987–1991. Cambridge, MA: MIT Media Laboratory.
  • Maestre, E., Bonada, J., Blaauw, M., Perez, A., & Guaus, E. (2007). Acquisition of violin instrumental gestures using a commercial EMF tracking device. Proceedings of International Computer Music Conference (ICMC), Copenhagen, Denmark (Vol. 1, pp. 386–393).
  • Mathews, M.V., & Kohut, J. (1973). Electronic simulation of violin resonances. Journal of the Acoustical Society of America, 53, 1620.
  • McMillen, K.A. (2008). Stage-worthy sensor bows for stringed instruments. In Proceedings of NIME (pp. 347–348). Available online: http://www.nime.org/proceedings/2008/nime2008_347.pdf.
  • Overholt, D. (2005). The Overtone Violin: A new computer music instrument. In (2005) Proceedings of International Computer Music Conference, Barcelona, Spain (pp. 604–607). Available online: http://www.nime.org/proceedings/2005/nime2005_034.pdf.
  • Overholt, D. (2011). The Overtone Fiddle: An actuated acoustic instrument. In (2011) Proceedings of New Instruments for Musical Expression, Oslo, Sweden. Available online: http://www.nime.org/proceedings/2011/nime2011_004.pdf
  • Overholt, D. (2012). Violin-related HCI: A taxonomy elicited by the musical interface technology design space. Arts and technology (pp. 80–89). Berlin: Springer.
  • Paradiso, J. & Gershenfeld, N. (1997). Musical applications of electric field sensing. Computer Music Journal, 21(2), 69–89.
  • Pardue, L.S. & McPherson, A.P. (2013). Near-field optical reflective sensing for bow tracking. In Proceedings of NIME (pp. 363–368). Available online: http://nime.org/proceedings/2013/nime2013_247.pdf.
  • Pardue, L.S., Nian, D., Harte, C., & McPherson, A.P. (2014). Low-latency audio pitch tracking: a multi-modal sensor-assisted approach. Proceedings of NIME (pp. 54–59). Available online: http://www.nime.org/proceedings/2014/nime2014_336.pdf.
  • Poepel, C. & Overholt, D. (2006). Recent developments in violin-related digital musical instruments: where are we and where are we going?. In Proceedings of NIME (6 pp.). Available online: http://www.nime.org/proceedings/2006/nime2006_390.pdf.
  • Rasamimanana, N., Bernardin, D., Wanderley, M., & Bevilacqua, F. (2009). String bowing gestures at varying bow stroke frequencies: A case study. In Gesture-based human-computer interaction and simulation (pp. 216–226). Berlin: Springer.
  • Rasamimanana, N., Fléty, E. & Bevilacqua, F. (2006). Gesture analysis of violin bow strokes. Gesture in Human-Computer Interaction and Simulation ( Lecture Notes in Computer Science 3881, pp. 145–155). Berlin, Heidelberg: Springer-Verlag.
  • Schoonderwaldt, E. & Demoucron, M. (2009). Extraction of bowing parameters from violin performance combining motion capture and sensors. Journal of the Acoustical Society of America, 126, 2695.
  • Schoonderwaldt, E. & Jensenius, A.R. (2011). Effective and expressive movements in a French-Canadian fiddler’s performance. Proceedings of NIME (pp. 256–259). Available online: http://www.nime.org/proceedings/2011/nime2011_256.pdf.
  • Stowell, D., & Plumbley, M. (2007). Adaptive whitening for improved real-time audio onset detection. Proceedings of International Computer Music Conference (ICMC), Copenhagen, Denmark (Vol. 18).
  • Trueman, D., & Cook, P. (2000). BoSSA: The deconstructed violin reconstructed. Journal of New Music Research, 29(2), 121–130.
  • van der Linden, J., Schoonderwaldt, E., Bird, J., & Johnson, R. (2011). Musicjacket-combining motion capture and vibrotactile feedback to teach violin bowing. IEEE Transactions on Instrumentation and Measurement, 60(1), 104–113.
  • von dem Knesebeck, & Zölzer, U. (2010). Comparison of pitch trackers for real-time guitar effects. In Proceedings of the 13th International Conference on Digital Audio Effects (DAFx’10), Graz, Austria, (pp. 266–269).
  • Young, D. (2002). The hyperbow controller: Real-time dynamics measurement of violin performance. In Proceedings of NIME (pp. NIME02-1-6). Available online: http://www.nime.org/proceedings/2002/nime2002_201.pdf.
  • Young, D. (2003). Wireless sensor system for measurement of violin bowing parameters. Proceedings of the Stockholm Music Acoustics Conference (pp. 111–114). Available online: http://opera.media.mit.edu/papers/YoungSMAC03.pdf.
  • Young, D. & Deshmane, A. (2007). Bowstroke database: A web-accessible archive of violin bowing data. Proceedings of NIME (pp. 352–357). Available online: http://www.nime.org/proceedings/2007/nime2007_352.pdf.