Deformer: Denoising Transformer for Improved Audio Music Genre Classification
Jigang Wang,
Shuyu Li,
Yunsick Sung
Abstract:Audio music genre classification is performed to categorize audio music into various genres. Traditional approaches based on convolutional recurrent neural networks do not consider long temporal information, and their sequential structures result in longer training times and convergence difficulties. To overcome these problems, a traditional transformer-based approach was introduced. However, this approach employs pre-training based on momentum contrast (MoCo), a technique that increases computational costs ow… Show more
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