Extracting Sound Objects by Independent Subspace Analysis

Dubnov S. Extracting Sound Objects by Independent Subspace Analysis. In: AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio. Audio Engineering Society; 2002. Paper 000252. Available from: https://aes.org/publications/elibrary-page/?id=11130

@inproceedings{Dubnov2002_11130,
  author = {Dubnov, Shlomo},
  title = {{Extracting Sound Objects by Independent Subspace Analysis}},
  booktitle = {AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio},
  note = {Paper 000252},
  year = {2002},
  month = jun,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=11130}
}

TY  - CPAPER
TI  - Extracting Sound Objects by Independent Subspace Analysis
AU  - Dubnov, Shlomo
T2  - AES Conference: 22nd International Conference: Virtual, Synthetic, and Entertainment Audio
M1  - Paper 000252
PY  - 2002
DA  - 2002/06/06
UR  - https://aes.org/publications/elibrary-page/?id=11130
PB  - Audio Engineering Society
LA  - en
AB  - In this paper we present a scheme for unsupervised extraction of sound objects or sources from a single recording containing a mixture of sounds. The separation/extraction procedure is performed by orthogonal projection of the mixed sound onto sub-spaces that are derived by clustering of transform coefficients, such as coefficients obtained by PCA or ICA. The clustering step reveals a residual non-linear grouping structure of the signal that is omitted by the linear transform. To achieve independence we are searching for partitioning that maximizes the mutual information between a component and a set to which it belongs. This information is obtained by considering a pairwise distance measure among all coefficients. Source separation experiments are reported in the paper.
ER  -