I found some sections pretty dry and some absolutely fascinating. Some of my favorite passages come near the end of the book, in the "Style and Composition" and "Communicative Pressure" chapters. I will argue here, however, that it depends also on the nature of the style itself. If the source of this information is lost e.
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Contact Music and Probability In my book Music and Probability, I explore issues in music perception and cognition from a probabilistic perspective.
I propose computational models for two basic cognitive processes, the perception of key and the perception of meter, using techniques of Bayesian probabilistic modeling. Drawing on my own research and surveying recent work by others, I explore a range of further issues in music and probability, including transcription, phrase perception, pattern perception, harmony, improvisation, and musical styles.
Used in error detection tests. This program requires several source files. See below for further information. Expectancies generated by melodic intervals: Perceptual judgments of melodic continuity. These are the averaged ratings across trained and untrained subjects. Several other notefiles used for other tests of the polyphonic key program: pcsets See fig. This is the corpus used for testing the polyphonic key program. Use the program compare2. The excerpts are not provided here.
See the top of each code file for instructions on how to compile and run each program. This is the format required by the meter program and the monophonic key program. The Note-Address System You can evaluate a metrical model using the note-address system in the following way. Not-beat lists can be generated using the probabilistic meter program; see instructions at the top of the code. They can also be generated by the Melisma meter-finding program.
Use the program gen-add to generate note address list from a note-beat list. Use the program compare-na to compare your note-address list with the correct one. Use the program tally-na if desired to take a series of outputs from compare-na and combine them.
All of these programs gen-add, compare-na, tally-na are available for download above.
Music and Probability
David Temperley In Music and Probability, David Temperley explores issues in music perception and cognition from a probabilistic perspective. The application of probabilistic ideas to music has been pursued only sporadically over the past four decades, but the time is ripe, Temperley argues, for a reconsideration of how probabilities shape music perception and even music itself. Recent advances in the application of probability theory to other domains of cognitive modeling, coupled with new evidence and theoretical insights about the working of the musical mind, have laid the groundwork for more fruitful investigations. Temperley proposes computational models for two basic cognitive processes, the perception of key and the perception of meter, using techniques of Bayesian probabilistic modeling. Drawing on his own research and surveying recent work by others, Temperley explores a range of further issues in music and probability, including transcription, phrase perception, pattern perception, harmony, improvisation, and musical styles.