Exploring Data Augmentation to Improve Music Genre Classification with ConvNets

Author:

Aguiar Rafael L.,Costa Yandre M.G.,Silla Carlos N.

Publisher

IEEE

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. ClaveNet: Generating Afro-Cuban Drum Patterns through Data Augmentation;Audio Mostly 2024 - Explorations in Sonic Cultures;2024-09-18

2. Makine Öğrenmesi Yöntemleri ile GTZAN Veri Kümesine Ait Müzik Türlerinin Sınıflandırılması;Mühendislik Bilimleri ve Araştırmaları Dergisi;2024-04-30

3. Responsible Artificial Intelligence for Music Recommendation;Lecture Notes in Networks and Systems;2024

4. Classification of Popular Music Genre Using Convolutional Neural Network Method with Data Augmentation;2023 Eighth International Conference on Informatics and Computing (ICIC);2023-12-08

5. Note-level singing melody transcription with transformers;Intelligent Data Analysis;2023-11-20

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