Artificial Perception and Music Recognition
This monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output. The approach to pattern recognition employed is thatof artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligencemethods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns.
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Artificial Perception and Music Recognition
This monograph presents the author's studies in music recognition aimed at developing a computer system for automatic notation of performed music. The performance of such a system is supposed to be similar to that of speech recognition systems: acoustical data at the input and music scoreprinting at the output. The approach to pattern recognition employed is thatof artificial perception, based on self-organizing input data in order to segregate patterns before their identification by artificial intelligencemethods. The special merit of the approach is that it finds optimal representations of data instead of directly recognizing patterns.
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Artificial Perception and Music Recognition
210
Artificial Perception and Music Recognition
210Paperback(1993)
$54.99
54.99
In Stock
Product Details
| ISBN-13: | 9783540573944 |
|---|---|
| Publisher: | Springer Berlin Heidelberg |
| Publication date: | 11/19/1993 |
| Series: | Lecture Notes in Computer Science , #746 |
| Edition description: | 1993 |
| Pages: | 210 |
| Product dimensions: | 6.10(w) x 9.25(h) x 0.36(d) |
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