TempEst: Harpsichord Temperament Estimation in a Semantic Web Environment

References

• Barbour , J. M. 2004/1951 . Tuning and Temperament, A Historical Survey , New York : Dover .
   Google Scholar
• Berners-Lee , T. , Kolovski , V. , Connolly , D. , Hendler , J. , Kolovski , V. and Scharf , Y. 2006 . “ A reasoner for the web ” . Retrieved January 2010 from http://www.w3.org/2000/10/swap/doc/paper/
   Google Scholar
• Cannam , C. 2009 . “ The Vamp audio analysis plugin API: A programmer's guide ” . Retrieved from http://vamp-plugins. org/guide.pdf
   Google Scholar
• Casey , M. , Veltkamp , R. , Goto , M. , Leman , M. , Rhodes , C. and Slaney , M. 2008 . Content-based music information retrieval: Current directions and future challenges . Proceedings of the IEEE , 96 ( 4 ) : 668 – 696 .
   Web of Science ®Google Scholar
• Di Veroli , C. 2009 . Unequal Temperaments: Theory, History, and Practice , Bray, Ireland : Bray Baroque .
   Google Scholar
• Fazekas , G. , Cannam , C. and Sandler , M. Reusable metadata and software components for automatic audio analysis . Proceedings of the IEEE/ACM Joint Conference on Digital Libraries (JCDL'09) Workshop on Integrating Digital Library Content with Computational Tools and Services . Austin, TX, USA
   Google Scholar
• Fazekas , G. , Raimond , Y. , Jacobson , K. and Sandler , M. 2010 . An overview of Semantic Web activities in the OMRAS2 project . Journal of New Music Research , 39 ( 4 ) : 295 – 311 .
   Web of Science ®Google Scholar
• Helmholtz , H. v. 1863 . Die lehre von den tonempfindungen als physiologische grundlage für die theorie der musik (On the Sensations of Tone as a Physiological Basis for the Theory of Music) , Richmond, VA : Brunswick .
   Google Scholar
• Klapuri , A. P. A method for visualizing the pitch content of polyphonic music signals . Proceedings of the 10th International Society for Music Information Retrieval Conference (ISMIR 2009) . Kobe, Japan. pp. 615 – 620 .
   Google Scholar
• Lehman , B. 2005 . Bach's extraordinary temperament: Our Rosetta Stone—1 . Early Music , 33 ( 1 ) : 3 – 23 .
   Web of Science ®Google Scholar
• Lundin , R. W. 1947 . Towards a cultural theory of consonance . Journal of Psychology , 23 : 45 – 49 .
   Web of Science ®Google Scholar
• Palisca , C. V. and Moore , B. C.J. 2010 . “ Consonance ” . Retrieved from http://www.grovemusic.com/
   Google Scholar
• Raimond , Y. , Abdallah , S. , Sandler , M. and Frederick , G. The music ontology . Proceedings of the 7th International Conference on Music Information Retrieval (ISMIR 2007) . Vienna, Austria. pp. 417 – 422 .
   Google Scholar
• Rasch , R. 2002 . “ Tuning and temperament ” . In The Cambridge History of Western Music Theory , Edited by: Christensen , T . 193 – 222 . Cambridge : Cambridge University Press .
   Google Scholar
• Schroeder , M. R. 2009 . Number Theory in Science and Communication: With Applications in Cryptography, Physics, Digital Information, Computing, and Self-similarity , Berlin : Springer .
   Google Scholar
• Sethares , W. 2004 . Tuning, Timbre, Spectrum, Scale , Berlin : Springer .
   Google Scholar
• Smith , J. O. 2008 . Spectral Audio Signal Processing, October 2008 Draft [Online book]. Retrieved from https://ccrma. stanford.edu/sasp/
   Google Scholar
• Terhardt , E. 1977 . “ The two-component theory of musical consonance ” . In Psychophysics and Physiology of Hearing , Edited by: Evans , E and Wilson , J . 381 – 390 . London : Academic .
   Google Scholar
• Tidhar , D. , Mauch , M. and Dixon , S. High precision frequency estimation for harpsichord tuning classification. In . IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP2010) . Dallas, TX, USA. pp. 61 – 64 .
   Google Scholar