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| + | ====== Abstracts ====== | ||
| ===== 2019 ===== | ===== 2019 ===== | ||
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| ===== 2018 ===== | ===== 2018 ===== | ||
| === [28] === | === [28] === | ||
| - | <html><i>I. Vatolkin, G. Rudolph</i>: <b><font color=#0000FF>Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures</font></b>. Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 554-560</html> | ||
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| - | Studies on instrument recognition are almost always restricted to either Western or ethnic music. Only little work has been done to compare both musical worlds. In this paper, we analyse the performance of various audio features for recognition of Western and ethnic instruments in chords. The feature selection is done with the help of a minimum redundancy - maximum relevance strategy and a multi-objective evolutionary algorithm. We compare the features found to be the best for individual categories and propose a novel strategy based on non-dominated sorting to evaluate and select trade-off features which may contribute as best as possible to the recognition of individual and all instruments. | ||
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| - | === [24] === | ||
| - | <html><i>I. Vatolkin, G. Rudolph</i>: <b><font color=#0000FF>Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures</font></b>. Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 554-560</html> | ||
| - | |||
| - | Studies on instrument recognition are almost always restricted to either Western or ethnic music. Only little work has been done to compare both musical worlds. In this paper, we analyse the performance of various audio features for recognition of Western and ethnic instruments in chords. The feature selection is done with the help of a minimum redundancy - maximum relevance strategy and a multi-objective evolutionary algorithm. We compare the features found to be the best for individual categories and propose a novel strategy based on non-dominated sorting to evaluate and select trade-off features which may contribute as best as possible to the recognition of individual and all instruments. | ||
| - | |||
| - | === [23] === | ||
| - | <html><i>I. Vatolkin, G. Rudolph</i>: <b><font color=#0000FF>Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures</font></b>. Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 554-560</html> | ||
| - | |||
| - | Studies on instrument recognition are almost always restricted to either Western or ethnic music. Only little work has been done to compare both musical worlds. In this paper, we analyse the performance of various audio features for recognition of Western and ethnic instruments in chords. The feature selection is done with the help of a minimum redundancy - maximum relevance strategy and a multi-objective evolutionary algorithm. We compare the features found to be the best for individual categories and propose a novel strategy based on non-dominated sorting to evaluate and select trade-off features which may contribute as best as possible to the recognition of individual and all instruments. | ||
| - | |||
| - | === [22] === | ||
| - | <html><i>I. Vatolkin, G. Rudolph</i>: <b><font color=#0000FF>Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures</font></b>. Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 554-560</html> | ||
| - | |||
| - | Studies on instrument recognition are almost always restricted to either Western or ethnic music. Only little work has been done to compare both musical worlds. In this paper, we analyse the performance of various audio features for recognition of Western and ethnic instruments in chords. The feature selection is done with the help of a minimum redundancy - maximum relevance strategy and a multi-objective evolutionary algorithm. We compare the features found to be the best for individual categories and propose a novel strategy based on non-dominated sorting to evaluate and select trade-off features which may contribute as best as possible to the recognition of individual and all instruments. | ||
| - | |||
| - | === [21] === | ||
| <html><i>I. Vatolkin, G. Rudolph</i>: <b><font color=#0000FF>Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures</font></b>. Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 554-560</html> | <html><i>I. Vatolkin, G. Rudolph</i>: <b><font color=#0000FF>Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures</font></b>. Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR), pp. 554-560</html> | ||
| Studies on instrument recognition are almost always restricted to either Western or ethnic music. Only little work has been done to compare both musical worlds. In this paper, we analyse the performance of various audio features for recognition of Western and ethnic instruments in chords. The feature selection is done with the help of a minimum redundancy - maximum relevance strategy and a multi-objective evolutionary algorithm. We compare the features found to be the best for individual categories and propose a novel strategy based on non-dominated sorting to evaluate and select trade-off features which may contribute as best as possible to the recognition of individual and all instruments. | Studies on instrument recognition are almost always restricted to either Western or ethnic music. Only little work has been done to compare both musical worlds. In this paper, we analyse the performance of various audio features for recognition of Western and ethnic instruments in chords. The feature selection is done with the help of a minimum redundancy - maximum relevance strategy and a multi-objective evolutionary algorithm. We compare the features found to be the best for individual categories and propose a novel strategy based on non-dominated sorting to evaluate and select trade-off features which may contribute as best as possible to the recognition of individual and all instruments. | ||