Artificial perception and music recognition /
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| Author / Creator: | Tanguiane, Andranick S., 1952- |
|---|---|
| Imprint: | Berlin ; New York : Springer-Verlag, ©1993. |
| Description: | 1 online resource (xiv, 210 pages) : illustrations. |
| Language: | English |
| Series: | Lecture notes in computer science, 0302-9743 ; 746. Lecture notes in artificial intelligence Lecture notes in computer science ; 746. Lecture notes in computer science. Lecture notes in artificial intelligence. |
| Subject: | |
| Format: | E-Resource Book |
| URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11071830 |
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| 050 | 4 | |a ML74 |b .T36 1993 | |
| 049 | |a MAIN | ||
| 100 | 1 | |a Tanguiane, Andranick S., |d 1952- |0 http://id.loc.gov/authorities/names/n91021067 |1 http://viaf.org/viaf/113416947 | |
| 245 | 1 | 0 | |a Artificial perception and music recognition / |c Andranick S. Tanguiane. |
| 260 | |a Berlin ; |a New York : |b Springer-Verlag, |c ©1993. | ||
| 300 | |a 1 online resource (xiv, 210 pages) : |b illustrations. | ||
| 336 | |a text |b txt |2 rdacontent |0 http://id.loc.gov/vocabulary/contentTypes/txt | ||
| 337 | |a computer |b c |2 rdamedia |0 http://id.loc.gov/vocabulary/mediaTypes/c | ||
| 338 | |a online resource |b cr |2 rdacarrier |0 http://id.loc.gov/vocabulary/carriers/cr | ||
| 490 | 1 | |a Lecture notes in computer science, |x 0302-9743 ; |v 746. |a Lecture notes in artificial intelligence | |
| 504 | |a Includes bibliographical references (pages 185-200) and indexes. | ||
| 588 | 0 | |a Online resource; title from PDF title page (SpringerLink, viewed Oct. 9, 2013). | |
| 520 | |a 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. | ||
| 650 | 0 | |a Artificial intelligence |x Musical applications. |0 http://id.loc.gov/authorities/subjects/sh92002683 | |
| 650 | 0 | |a Computer sound processing. |0 http://id.loc.gov/authorities/subjects/sh85029539 | |
| 650 | 0 | |a Musical notation |x Data processing. | |
| 650 | 7 | |a Artificial intelligence |x Musical applications. |2 fast |0 (OCoLC)fst00817274 | |
| 650 | 7 | |a Computer sound processing. |2 fast |0 (OCoLC)fst00872627 | |
| 650 | 7 | |a Musical notation |x Data processing. |2 fast |0 (OCoLC)fst01030782 | |
| 655 | 4 | |a Electronic books. | |
| 776 | 0 | 8 | |i Print version: |a Tanguiane, Andranick S., 1952- |t Artificial perception and music recognition. |d Berlin ; New York : Springer-Verlag, ©1993 |z 3540573941 |w (DLC) 93021437 |w (OCoLC)28929528 |
| 830 | 0 | |a Lecture notes in computer science ; |v 746. |x 0302-9743 | |
| 830 | 0 | |a Lecture notes in computer science. |p Lecture notes in artificial intelligence. |0 http://id.loc.gov/authorities/names/n42015162 | |
| 856 | 4 | 0 | |u http://link.springer.com/10.1007/BFb0019384 |y SpringerLink |
| 903 | |a HeVa | ||
| 929 | |a eresource | ||
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| 928 | |t Library of Congress classification |a ML74 .T36 1993 |l Online |c UC-FullText |u http://link.springer.com/10.1007/BFb0019384 |z SpringerLink |g ebooks |i 9879914 | ||