Automatic Recognition of Events in Audio Data Using Supercomputer Cluster

Lopatka K, Czyzewski A, Krawczyk H. Automatic Recognition of Events in Audio Data Using Supercomputer Cluster. In: AES Convention 130. Audio Engineering Society; 2011. Paper 8377. Available from: https://aes.org/publications/elibrary-page/?id=15844

@inproceedings{Lopatka2011_15844,
  author = {Lopatka, Kuba and Czyzewski, Andrzej and Krawczyk, Henryk},
  title = {{Automatic Recognition of Events in Audio Data Using Supercomputer Cluster}},
  booktitle = {AES Convention 130},
  note = {Paper 8377},
  year = {2011},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=15844}
}

TY  - CPAPER
TI  - Automatic Recognition of Events in Audio Data Using Supercomputer Cluster
AU  - Lopatka, Kuba
AU  - Czyzewski, Andrzej
AU  - Krawczyk, Henryk
T2  - AES Convention 130
M1  - Paper 8377
PY  - 2011
DA  - 2011/05/06
UR  - https://aes.org/publications/elibrary-page/?id=15844
PB  - Audio Engineering Society
LA  - en
AB  - Dangerous events automatic recognition by audio analysis employing parallel processing on a supercomputer cluster is described in the paper. Sound files recorded by microphones operating in a security surveillance system are processed by a sound event detection and classification algorithm. Because of the large amount of data, parallel computation is employed to speed up the analysis. The sound file recorded by the surveillance system is divided into chunks and processed by separate threads or processes. Several strategies for such parallel computation are introduced and discussed. Results obtained in tests using a supercomputer cluster are presented.
ER  -