Гибридная архитектура нейронной сети для задачи классификации музыкального жанра
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Рассматривается вопрос классификации музыкальных жанров при помощи различных видов гибридной нейронной сети, основанной на комбинации свёрточной и рекуррентной нейронных сетей. Статья направлена на анализ возможностей нескольких моделей для классификации музыки и определение того, какая модель лучше подходит для этой задачи. Эти результаты проливают свет на дальнейшие исследования музыки.
Нейронная сеть, свёрточная нейронная сеть, рекуррентная нейронная сеть, классификация музыки, gtzan мел-спектрограмма
Короткий адрес: https://sciup.org/140300752
IDR: 140300752
Список литературы Гибридная архитектура нейронной сети для задачи классификации музыкального жанра
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