A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging
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| Authors | Mark Sandler, Keunwoo Choi, György Fazekas, Kyunghyun Cho |
| Journal/Conference Name | European Signal Processing Conference |
| Paper Category | Artificial Intelligence |
| Paper Abstract | In this paper, we empirically investigate the effect of audio preprocessing on music tagging with deep neural networks. We perform comprehensive experiments involving audio preprocessing using different time-frequency representations, logarithmic magnitude compression, frequency weighting, and scaling. We show that many commonly used input preprocessing techniques are redundant except magnitude compression. |
| Date of publication | 2017 |
| Code Programming Language | Jupyter Notebook |
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