Statistics in MusicologyCRC Press, 15 juil. 2003 - 312 pages Traditionally, statistics and music are not generally associated with each other. However, ...intelligent... music software, computer digitization, and other advanced techniques and technologies have precipitated the need for standard statistical models to answer basic musicological questions. Statistics In Musicology presents an unprecedented intr |
Table des matières
Global measures of structure and randomness | 2-3 |
Time series analysis | 3-4 |
Hierarchical methods | 3-36 |
Markov chains and hidden Markov models | 6 |
Principal component analysis | 7-8 |
Discriminant analysis | 7-23 |
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Expressions et termes fréquents
A₁ algorithm amplitude applications in music b₁ BACH BACH BACH bandwidths Bartók Béla Bartók Beran Boxplots Brahms Chernoff faces CHOPIN compositions corresponding Cortot and Horowitz Courtesy of Zentralbibliothek covariance matrix Das Wohltemperierte Klavier decomposition defined Definition dimension discriminant analysis discriminant rule distance entropy estimated euclidian finite fractal frequency function G₁ harmonic HAYDN hidden Markov models HISMOOTH instance intervals J.S. Bach kernel linear m₁ Markov chain mathematical Mazzola measure melodic indicator metric models modulo 12 Mozart multidimensional scaling notes observed obtained onset outliers parameter performances periodogram pitch principal components probability regression sample Schumann Schumann's Träumerei Scriabin self-similar signal smoothing Sonata sound wave specific spectral density statistics structure Symbol plot t₁ tempo curves Theorem topological dimension U₁ values vector w₁ wavelet Webern Wohltemperierte Klavier X₁ Y₁ York Zentralbibliothek Zürich