Abstract
This research proposes an automatic transcription-feedback system of music which help people to learn musical instruments by themselves. The focus of this research is piano. We develop real-time polyphonic pitch detectionfeedback system. For ’polyphonic pitch detection’, we use inner product based similarity measure with discriminant note detection threshold and top down attention. Also, we develop two parallel processes on simulink and matlab separately for real-time system. On simulink workspace, real-time recording and signal flow management is implemented. This system takes 2mins. 12secs. for analyzing 1min. piece and have accuracy of pitch detection as 79.33% for test case (Chopin Nocturne Op.9 N.2).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
David, G.: Pitch Extraction and Fundamental Frequency: History and Current Techniques. Technical report. University of Regina, pp. 2–12 (2003)
Worldwide Standard in Vocal Processing Tools: Auto-Tune, http://www.antarestech.com/products/auto-tune-evo.shtml
Edward, M.B.: Intervals, Scales, and Tuning. In: Deutsch, D. (ed.) The Psychology of Music. Academic Press, San Diego (1999)
Mert, B., Andreas, F.E., Stephen, D.: Evaluation of Multiple-F0 Estimation and Tracking Systems. International Society for Music Information Retrieval 2009 (2009)
Graham, E.P., Daniel, P.W.E.: A Discriminative Model for Polyphonic Piano Transcription. EURASIP J. Appl. Sig. P. 8, 1–9 (2007)
Emmanouil, B., Simon, D.: Joint Multi-Pitch Detection Using Harmonic Enve-lope Estimation for Polyphonic Music Transcription. IEEE J-STSP 5, 1111–1123 (2011)
Melodyne, http://www.celemony.com/cms/
Kameoka, H., Nishimoto, T., Sagayama, S.: A Multipitch Analyzer Based on Harmonic Temporal Structured Clustering. IEEE Trans. Audio, Speech, Lang. Process. 15, 982–994 (2007)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, Gm., Kim, Ch., Lee, Sy. (2012). Implement Real-Time Polyphonic Pitch Detection and Feedback System for the Melodic Instrument Player. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7666. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34478-7_18
Download citation
DOI: https://doi.org/10.1007/978-3-642-34478-7_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-34477-0
Online ISBN: 978-3-642-34478-7
eBook Packages: Computer ScienceComputer Science (R0)