Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor

@article{Sheng2018FeatureDU,
  title={Feature Design Using Audio Decomposition for Intelligent Control of the Dynamic Range Compressor},
  author={Di Sheng and Gy{\"o}rgy Fazekas},
  journal={2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2018},
  pages={621-625}
}
This papeper proposes a method of controlling the dynamic range compressor using sound examples. Our earlier work showed the effectiveness of random forest regression to map acoustic features to effect control parameters [1]. We extend this work to address the challenging task of extracting relevant features when audio events overalp. We assess different audio decomposition approaches suchs as onset event detection, NMF, and transient/stationary audio separation using ISTA and compare feature… CONTINUE READING

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