Analysis of musical structure in audio and MIDI signals using information rate

International Computer Music Conference, ICMC 2006

Volumn , Issue , 2006, Pages 187-192

  Dubnov, Shlomo ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Complexity; Entropy; Information rate; Musical structure; Prediction

Indexed keywords

COMPUTER MUSIC; ENTROPY; FORECASTING; INFORMATION THEORY; MUSICAL INSTRUMENTS; TIME SERIES ANALYSIS;

COMPARATIVE ANALYSIS; COMPLEXITY; INFORMATION RATES; MUSICAL PIECES; MUSICAL SIGNALS; MUSICAL STRUCTURES; RATE OF CHANGE; SYMBOLIC REPRESENTATION;

AUDIO ACOUSTICS;

EID: 84923558173     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (8)

1. Dubnov, S. (2004), Spectral Anticipations, Proceedings of International Computer Music Conference, Miami.
2. Dubnov, S. S. McAdams, R. Reynolds (2005). Structural and Affective Aspects of Music from Statistical Audio Signal Analysis, to appear in Journal of the American Society for Information Science and Technology, Special Issue on Style 2006.
3. Cover, T. M., and J. A. Thomas, (1991). Elements of Information Theory, John Wiley & Sons, New-York.
4. Dubnov, S. (2004). Generalization of Spectral Flatness Measure for Non- Gaussian Linear Processes, IEEE Signal Processing Letters, Volume 11, Issue 8, Aug. 2004 Page(s):698 - 701.
5. Gray, R.; Buzo, A.; Gray, A. Jr.; Matsuyama, Y. (1980). Distortion measures for speech processing, IEEE Transactions on Acoustics, Speech, and Signal Processing, Volume 28, Issue 4, Aug., 367 - 376.
6. Jayant, N.S. and P.Noll. (1984). Digital Coding of Waveforms, Prentice-Hall Signal.
7. Hayes, M. (1996). Statistical Signal Processing and Modeling, Wiley.
8. Oppenheim, A.V. and R.W.Schafer (1989). Discrete Time Signal Processing, Prentice Hall, New Jersey.