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K. Lopatka, and A. Czyzewski, "Recognition of Hazardous Acoustic Events Employing Parallel Processing on a Supercomputing Cluster," Paper 9301, (2015 May.). doi: K. Lopatka, and A. Czyzewski, "Recognition of Hazardous Acoustic Events Employing Parallel Processing on a Supercomputing Cluster," Paper 9301, (2015 May.). doi:
Abstract: A method for automatic recognition of hazardous acoustic events operating on a super computing cluster is introduced. The methods employed for detecting and classifying the acoustic events are outlined. The evaluation of the recognition engine is provided: both on the training set and using real-life signals. The algorithms yield sufficient performance in practical conditions to be employed in security surveillance systems. The specialized framework for parallel processing of multimedia data streams KASKADA, in which the methods are implemented, is briefly introduced. An experiment intended to assess outcomes of parallel processing of audio data on a supercomputing cluster is featured. It is shown that by employing supercomputing services the time needed to analyze the data is greatly reduced.

@article{lopatka2015recognition,
author={lopatka, kuba and czyzewski, andrzej},
journal={journal of the audio engineering society},
title={recognition of hazardous acoustic events employing parallel processing on a supercomputing cluster},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},} @article{lopatka2015recognition,
author={lopatka, kuba and czyzewski, andrzej},
journal={journal of the audio engineering society},
title={recognition of hazardous acoustic events employing parallel processing on a supercomputing cluster},
year={2015},
volume={},
number={},
pages={},
doi={},
month={may},
abstract={a method for automatic recognition of hazardous acoustic events operating on a super computing cluster is introduced. the methods employed for detecting and classifying the acoustic events are outlined. the evaluation of the recognition engine is provided: both on the training set and using real-life signals. the algorithms yield sufficient performance in practical conditions to be employed in security surveillance systems. the specialized framework for parallel processing of multimedia data streams kaskada, in which the methods are implemented, is briefly introduced. an experiment intended to assess outcomes of parallel processing of audio data on a supercomputing cluster is featured. it is shown that by employing supercomputing services the time needed to analyze the data is greatly reduced.},}

TY - paper
TI - Recognition of Hazardous Acoustic Events Employing Parallel Processing on a Supercomputing Cluster
SP - EP -
AU - Lopatka, Kuba
AU - Czyzewski, Andrzej
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015 TY - paper
TI - Recognition of Hazardous Acoustic Events Employing Parallel Processing on a Supercomputing Cluster
SP - EP -
AU - Lopatka, Kuba
AU - Czyzewski, Andrzej
PY - 2015
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - May 2015
AB - A method for automatic recognition of hazardous acoustic events operating on a super computing cluster is introduced. The methods employed for detecting and classifying the acoustic events are outlined. The evaluation of the recognition engine is provided: both on the training set and using real-life signals. The algorithms yield sufficient performance in practical conditions to be employed in security surveillance systems. The specialized framework for parallel processing of multimedia data streams KASKADA, in which the methods are implemented, is briefly introduced. An experiment intended to assess outcomes of parallel processing of audio data on a supercomputing cluster is featured. It is shown that by employing supercomputing services the time needed to analyze the data is greatly reduced.