Computation of Generalized Mutual Information from Multichannel Audio Data

Sandler M, Mitianoudis N, Reiss J. Computation of Generalized Mutual Information from Multichannel Audio Data. In: AES Convention 110. Audio Engineering Society; 2001. Paper 5371. Available from: https://aes.org/publications/elibrary-page/?id=10009

@inproceedings{Sandler2001_10009,
  author = {Sandler, Mark and Mitianoudis, Nikolaos and Reiss, Josh},
  title = {{Computation of Generalized Mutual Information from Multichannel Audio Data}},
  booktitle = {AES Convention 110},
  note = {Paper 5371},
  year = {2001},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=10009}
}

TY  - CPAPER
TI  - Computation of Generalized Mutual Information from Multichannel Audio Data
AU  - Sandler, Mark
AU  - Mitianoudis, Nikolaos
AU  - Reiss, Josh
T2  - AES Convention 110
M1  - Paper 5371
PY  - 2001
DA  - 2001/05/06
UR  - https://aes.org/publications/elibrary-page/?id=10009
PB  - Audio Engineering Society
LA  - en
AB  - The authors present a new method to extract the mutual information for data from any number of channels from either a discrete or continuous system. This generalized mutual information allows for the estimation of the average number of redundant bits in a vector measurement. Thus it provides insight into the information shared between all channels of the data. It may be used as a measure for the success of blind signal separation with multichannel audio. Several multichannel audio signals are separated using various ICA methods and the mutual information of each signal is computed and interpreted. It is also implemented as a contrast function in ICA for a new method of blind signal separation.
ER  -