Automatic characterisation of musical style:
Abstract: 'This paper describes a system for automatically characterising musical style using motifs. Motifs are patterns of rhythms or pitches common to more than one piece of music in a style. The Style Analysis with Motifs (SAM) system uses an original classification technique and is able to...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Edinburgh
1993
|
| Schriftenreihe: | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper
668 |
| Schlagworte: | |
| Zusammenfassung: | Abstract: 'This paper describes a system for automatically characterising musical style using motifs. Motifs are patterns of rhythms or pitches common to more than one piece of music in a style. The Style Analysis with Motifs (SAM) system uses an original classification technique and is able to learn to distinguish between different styles with a success rate of over 95%. It is suggested that since motifs can be used to automatically discriminate between different styles effectively, they may be very important in the way humans achieve the task." |
| Beschreibung: | 15 S. |
Internformat
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| 490 | 1 | |a University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |v 668 | |
| 520 | 3 | |a Abstract: 'This paper describes a system for automatically characterising musical style using motifs. Motifs are patterns of rhythms or pitches common to more than one piece of music in a style. The Style Analysis with Motifs (SAM) system uses an original classification technique and is able to learn to distinguish between different styles with a success rate of over 95%. It is suggested that since motifs can be used to automatically discriminate between different styles effectively, they may be very important in the way humans achieve the task." | |
| 650 | 7 | |a Bionics and artificial intelligence |2 sigle | |
| 650 | 4 | |a Computer music | |
| 700 | 1 | |a Smaill, Alan |e Verfasser |4 aut | |
| 810 | 2 | |a Department of Artificial Intelligence: DAI research paper |t University <Edinburgh> |v 668 |w (DE-604)BV010450646 |9 668 | |
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Datensatz im Suchindex
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| author | Westhead, Martin D. Smaill, Alan |
| author_facet | Westhead, Martin D. Smaill, Alan |
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| id | DE-604.BV010466463 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-09T17:53:00Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-006974440 |
| oclc_num | 32126573 |
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| owner_facet | DE-91G DE-BY-TUM |
| physical | 15 S. |
| publishDate | 1993 |
| publishDateSearch | 1993 |
| publishDateSort | 1993 |
| record_format | marc |
| series2 | University <Edinburgh> / Department of Artificial Intelligence: DAI research paper |
| spelling | Westhead, Martin D. Verfasser aut Automatic characterisation of musical style Martin D. Westhead and Alan Smaill Edinburgh 1993 15 S. txt rdacontent n rdamedia nc rdacarrier University <Edinburgh> / Department of Artificial Intelligence: DAI research paper 668 Abstract: 'This paper describes a system for automatically characterising musical style using motifs. Motifs are patterns of rhythms or pitches common to more than one piece of music in a style. The Style Analysis with Motifs (SAM) system uses an original classification technique and is able to learn to distinguish between different styles with a success rate of over 95%. It is suggested that since motifs can be used to automatically discriminate between different styles effectively, they may be very important in the way humans achieve the task." Bionics and artificial intelligence sigle Computer music Smaill, Alan Verfasser aut Department of Artificial Intelligence: DAI research paper University <Edinburgh> 668 (DE-604)BV010450646 668 |
| spellingShingle | Westhead, Martin D. Smaill, Alan Automatic characterisation of musical style Bionics and artificial intelligence sigle Computer music |
| title | Automatic characterisation of musical style |
| title_auth | Automatic characterisation of musical style |
| title_exact_search | Automatic characterisation of musical style |
| title_full | Automatic characterisation of musical style Martin D. Westhead and Alan Smaill |
| title_fullStr | Automatic characterisation of musical style Martin D. Westhead and Alan Smaill |
| title_full_unstemmed | Automatic characterisation of musical style Martin D. Westhead and Alan Smaill |
| title_short | Automatic characterisation of musical style |
| title_sort | automatic characterisation of musical style |
| topic | Bionics and artificial intelligence sigle Computer music |
| topic_facet | Bionics and artificial intelligence Computer music |
| volume_link | (DE-604)BV010450646 |
| work_keys_str_mv | AT westheadmartind automaticcharacterisationofmusicalstyle AT smaillalan automaticcharacterisationofmusicalstyle |