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Statistical Natural Language Processing Methods in Music Notation Analysis
Název práce v češtině: Statistical Natural Language Processing Methods in Music Notation Analysis
Název v anglickém jazyce: Statistical Natural Language Processing Methods in Music Notation Analysis
Klíčová slova anglicky: statistical melody modeling, music notation, NLP methods, audio melody extraction
Akademický rok vypsání: 2011/2012
Typ práce: diplomová práce
Jazyk práce: angličtina
Ústav: Ústav formální a aplikované lingvistiky (32-UFAL)
Vedoucí / školitel: Mgr. Nino Peterek, Ph.D.
Řešitel: skrytý - zadáno a potvrzeno stud. odd.
Datum přihlášení: 03.08.2011
Datum zadání: 06.10.2011
Datum potvrzení stud. oddělením: 14.10.2011
Datum a čas obhajoby: 20.05.2013 09:00
Datum odevzdání elektronické podoby:12.04.2013
Datum odevzdání tištěné podoby:12.04.2013
Datum proběhlé obhajoby: 20.05.2013
Oponenti: RNDr. David Mareček, Ph.D.
Zásady pro vypracování
It has been more than 180 years since the American poet H. W. Longfellow wrote in his book "A Pilgrimage Beyond the Sea" often quoted and now well-known sentence: "Music is the universal language of mankind." He was definitely neither the first or the last one who had such ideas. Obviously, his thought behind this sentence was something slightly different at the beginning of Romantic era than any explicit relation between music and language. But anyway, comparing and finding similarities between music and language appear thorough the whole history of science and art. The most probable prehistorical vocal origin of music, from the non-linguistic utterances as expressing happiness or crying and weeping, just proves proximity of such relation.

Importance of the language-music relation shows how often composers and theoreticians of music were interested in such question. A good example of it can be a Czech composer, Leoš Janáček, who studied at the beginning of the 20-th century melody of speech in order to use natural melody of utterances in his operas. For many years he collected in his notebooks "speech tunes" of people speaking around him and then used them while composing, because he strongly believed there is a close connection between natural language and natural tuniness.

The concrete goals of the thesis are to explore different ways of parsing scores and to explore the statistical properties of such ways of parsing. The final result should be a music notation model constructed the same as the language models are.
Seznam odborné literatury
Leonard B. Meyer, Meaning in Music and Information Theory, The Journal of Aesthetics and Art Criticism, Vol. 15, No. 4 (Jun., 1957), pp. 412-424, Blackwell Publishing on behalf of The American Society for Aesthetics

Ian H. Witten, Leonard C. Manzara, Darrell Conklin, Computer Music Journal, Vol. 18, No. 1 (Spring, 1994), pp. 70-80, The MIT Press

Chris Dobrian, Music and Language (1992), http://music.arts.uci.edu/dobrian/CD.music.lang.htm

Wolkowicz, J., S. Brooks, and V. Keselj (2009), Midivis: Visualizing music structure via
similarity matrices, In Proceedings of the International Computer Music Conference (ICMC), Montreal, QC, Canada, 53–6

Manning, C. D., Schuetze, H. (1999), Foundations of statistical natural language processing, Cambridge Massachusetts: MIT Press

Sudhoff, Stefan, Denisa Lenertová, Roland Meyer, Sandra Pappert, Petra Augurzky, Ina Mleinek, Nicole Richter & Johannes, Schließer (eds.) (2006), Methods in empirical prosody research, (Language, Context, and Cognition; 3), Berlin/New York: Walter de Gruyter

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