Motion informed audio source separation

Sanjeel Parekh; Slim Essid; Alexey Ozerov; Ngoc Q. K. Duong; Patrick Pérez; Gaël Richard

ICASSP 2017accepted0 citations

Motion informed audio source separation

Sanjeel Parekh, Slim Essid, Alexey Ozerov, Ngoc Q. K. Duong, Patrick Pérez, Gaël Richard

Abstract

In this paper we tackle the problem of single channel audio source separation driven by descriptors of the sounding object's motion. As opposed to previous approaches, motion is included as a soft-coupling constraint within the nonnegative matrix factorization framework. The proposed method is applied to a multimodal dataset of instruments in string quartet performance recordings where bow motion information is used for separation of string instruments. We show that the approach offers better source separation result than an audio-based baseline and the state-of-the-art multimodal-based approaches on these very challenging music mixtures.

BibTeX

@inproceedings{icassp2017_motioninformedau,
  title = {Motion informed audio source separation},
  author = {Sanjeel Parekh and Slim Essid and Alexey Ozerov and Ngoc Q. K. Duong and Patrick Pérez and Gaël Richard},
  booktitle = {ICASSP 2017},
  year = {2017}
}