| Autor: |
Junqi Deng, Yu-Kwong Kwok |
| Předmět: |
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| Zdroj: |
International Society for Music Information Retrieval Conference Proceedings; 2017, p531-536, 6p |
| Abstrakt: |
This paper presents a large vocabulary automatic chord estimation system implemented using a bidirectional long short-term memory recurrent neural network trained with a skewed-class-aware scheme. This scheme gives the uncommon chord types much more exposure during the training process. The evaluation results indicate that: compared with a normal training scheme, the proposed scheme can boost the weighted chord symbol recalls of some uncommon chords and significantly improve the average chord quality accuracy, at the expense of the overall weighted chord symbol recall. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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