# A Comparison of Audio Signal Preprocessing Methods for Deep Neural Networks on Music Tagging

arXiv: https://arxiv.org/abs/1709.01922 · HTML: https://mlsanity.com/paper/1709.01922/

## Key facts

- Cited by 7 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 6 Sep 2017.

## Built on by (most cited first, 7 of 7)

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- [A Modulation Front-End for Music Audio Tagging](https://mlsanity.com/paper/2105.11836/) (2021)
- [Tuning In: Analysis of Audio Classifier Performance in Clinical Settings with Limited Data](https://mlsanity.com/paper/2402.10100/) (2024)

## Abstract (arXiv)

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.