Musical Instrument Classification Using k-Nearest Neighbors
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-3043-2_41
Reference18 articles.
1. Benetos E, Kotti M, Kotropoulos C (2006) Musical instrument classification using non-negative matrix factorization algorithms and subset feature selection. https://doi.org/10.1109/ICASSP.2006.1661252. http://ieeexplore.ieee.org/document/1661252/
2. Blaszke M, Kostek B (2022) Musical instrument identification using deep learning approach. Sensors 22. https://doi.org/10.3390/s22083033
3. Branco D, di Martino B, Esposito A, Tedeschi G, Bonavita S, Lavorgna L (2022) Machine learning techniques for prediction of multiple sclerosis progression. Soft Computing. https://doi.org/10.1007/s00500-022-07503-z
4. Brown JC, Houix O, McAdams S (2001) Feature dependence in the automatic identification of musical woodwind instruments. J Acoust Soc Am 109:1064–1072. https://doi.org/10.1121/1.1342075
5. Elhaik E (2022) Principal component analyses (PCA)-based findings in population genetic studies are highly biased and must be reevaluated. Sci Rep 12. https://doi.org/10.1038/s41598-022-14395-4
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