Corpus ID: 53873046

Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces

@inproceedings{Esling2018BridgingAA,
  title={Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces},
  author={Philippe Esling and Axel Chemla-Romeu-Santos and Adrien Bitton},
  booktitle={ISMIR},
  year={2018}
}
Generative models aim to understand the properties of data, through the construction of latent spaces that allow classification and generation. However, as the learning is unsupervised, the latent dimensions are not related to perceptual properties. In parallel, music perception research has aimed to understand timbre based on human dissimilarity ratings. These lead to timbre spaces which exhibit perceptual similarities between sounds. However, they do not generalize to novel examples and do… Expand
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