Automatic difficulty level rating for guitar tablatures
This research tackles the problem of automating the ranking of a guitar tablature's di culty level. Building upon recent research, this project proposes several di culty features and investigates their in uence on a set of pre-rated set of pieces being used by an existing academic standard of m...
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| Main Authors: | , , , |
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| Format: | text |
| Language: | English |
| Published: |
Animo Repository
2016
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| Subjects: | |
| Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/10738 |
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| Institution: | De La Salle University |
| Language: | English |
| Summary: | This research tackles the problem of automating the ranking of a guitar tablature's di culty level. Building upon recent research, this project proposes several di culty features and investigates their in uence on a set of pre-rated set of pieces being used by an existing academic standard of music levels. The di culty features will be ranked according to their in uence on a music school's levelling criteria. Models for automatically rating tablature were built around these experiments with the goal of a web application that provides the di culty level of a tablature, with hopes of improving the ambiguous format that guitar tablatures present. The linear regression model chosen had an r-squared metric of 27.61% and was implemented in a tablature repository website. |
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