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Publications list
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Randomly weighted CNNs for (music) audio classification
| Title | Randomly weighted CNNs for (music) audio classification |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Conference Name | 44th IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2019) |
| Authors | Pons, J. , & Serra X. |
| Conference Location | Brighton, UK |
| Abstract | The computer vision literature shows that randomly weighted neural networks perform reasonably as feature extractors. Following this idea, we study how non-trained (randomly weighted) convolutional neural networks perform as feature extractors for (music) audio classification tasks. We use features extracted from the embeddings of deep architectures as input to a classifier - with the goal to compare classification accuracies when using different randomly weighted architectures. By following this methodology, we run a comprehensive evaluation of the current deep architectures for audio classification, and provide evidence that the architectures alone are an important piece for resolving (music) audio problems using deep neural networks. |
| preprint/postprint document | https://arxiv.org/abs/1805.00237 |
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