This monograph presents the author's studies in musicrecognition aimed at developing a computer system forautomatic notation of performed music. The performance ofsuch a system is supposed to be similar to that of speechrecognition systems: acoustical data at the input and musicscoreprinting at the output.The approach to pattern recognition employed is thatofartificial perception, based on self-organizing input datain order to segregate patterns before their identificationby artificial intelligencemethods. The special merit of theapproach is that it finds optimal representations of datainstead of directly recognizing patterns.
Correlativity of perception.- Substantiating the model.- Implementing the model.- Experiments on chord recognition.- Applications to rhythm recognition.- Applications to music theory.- General discussion.- Conclusions.
Series: Lecture Notes in Artificial Intelligence
Number Of Pages: 210
Published: 20th October 1993
Publisher: SPRINGER VERLAG GMBH
Country of Publication: DE
Dimensions (cm): 23.39 x 15.6
Weight (kg): 0.33