• DOI:10.21437/interspeech.2019-2219
Corpus ID: 202725406

Fréchet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement Algorithms

@inproceedings{Kilgour2019FrchetAD,
  title={Fr{\'e}chet Audio Distance: A Reference-Free Metric for Evaluating Music Enhancement Algorithms},
  author={K. Kilgour and Mauricio Zuluaga and Dominik Roblek and Matthew Sharifi},
  booktitle={INTERSPEECH},
  year={2019}
}

• K. Kilgour, Mauricio Zuluaga, +1 author Matthew Sharifi
• Published in INTERSPEECH 2019
• Computer Science

We propose the Fréchet Audio Distance (FAD), a novel, reference-free evaluation metric for music enhancement algorithms. [...] Key Method FAD is validated using a wide variety of artificial distortions and is compared to the signal based metrics signal to distortion ratio (SDR), cosine distance, and magnitude L2 distance. We show that, with a correlation coefficient of 0.52, FAD correlates more closely with human perception than either SDR, cosine distance or magnitude L2 distance, with correlation coefficients…Expand

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