Readings in Music and Artificial Intelligence reviewer:

I was once happy to encounter this ebook in the course of my learn for my master's thesis on song and synthetic intelligence. even supposing there are various books at the topic, they have a tendency to be collections of formerly released articles or convention papers and are meant for an viewers that already is familiar with the topic of AI really good. This publication, in spite of the fact that, isn't a compilation of articles, yet a suite of chapters through numerous authors who have been commissioned to write down new fabric for the publication. the result's a e-book with stable introductory fabric within the box of AI and song, protecting composition, research, wisdom illustration, connectionism, or even song education/intelligent tutoring platforms. on the finish of every bankruptcy, there's a bibliography pointing the reader in the direction of extra resources on that individual subject. I additionally imagine this might make an excellent textbook for an introductory type on AI and tune for undergraduates (upper department) and graduate scholars that will entice all majors: conception and composition, musicology, and tune schooling (and might be to a lesser quantity, functionality majors). I basically want this ebook were on hand while I first begun my learn for my thesis - it should have made existence much easier! I hugely suggest this e-book because the first ebook for any reader drawn to this topic.

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Additional info for Readings in Music and Artificial Intelligence

Sample text

We certainly do not want the program to be able to draw conclusions which are incorrect or contradictory; and, often, we want to be sure that it is able potentially to draw every conclusion which is correct. These two properties are called, respectively, soundness and completeness of the reasoning system. For some languages and associated reasoning systems it is possible to prove soundness and completeness. 36 Readings in Music and Artificial Intelligence And we can sometimes go further than this.

Time(. ), ... ). event( e5, pitch(. ), time(. ), ... ). Let us suppose that the notes in the top staff correspond to el, e2, e3, e5. Then a statement can be made that these events together form a collection we call a constituent, of a type we will call a motif in this case. This is written as: constituent(cl, motif(l), { el,e2,e3,e5 }, ... ). indicating that the constituent labeled c1 is an instance of motif 1, containing the events el, e2, e3, e5. For this sort of constituent, any collection is possible, and the labels and classes assigned are arbitrary.

Machine Intelligence, 6, 221-41, (1971). , The perception of music. Interdiscipilinary Science Reviews, 3, 148-156, (1978). , Friberg, A. , Common secrets of musicians and listeners: An analysis-by-synthesis study of musical performance. In P. Howell, R. West and I. ), Representing Musical Structure, Academic Press, 161-197, (1991). , A model of expressive timing in tonal music. Music Perception, 3, 33-58, (1985). , Learning expressive performance: the structure-level approach. Journal of New Music Research, 25, 179-203, (1996).

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