Analog signal processing

DCASE2016: Sound event detection in real life audio


This task evaluates performance of the sound event detection systems in multisource conditions similar to our everyday life, where the sound sources are rarely heard in isolation. Contrary to task 2, there is no control over the number of overlapping sound events at each time, not in the training nor in the testing audio data.


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Dataset Details

Citation Author(s):
Submitted by:
Alexander Outman
Last updated:
Tue, 01/10/2017 - 15:56
DOI:
10.21227/H2Z595
Data Format:
Links:
 
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[1] , "DCASE2016: Sound event detection in real life audio", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.21227/H2Z595. Accessed: Nov. 20, 2017.
@data{h2z595-16,
doi = {10.21227/H2Z595},
url = {http://dx.doi.org/10.21227/H2Z595},
author = { },
publisher = {IEEE Dataport},
title = {DCASE2016: Sound event detection in real life audio},
year = {2016} }
TY - DATA
T1 - DCASE2016: Sound event detection in real life audio
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.21227/H2Z595
ER -
. (2016). DCASE2016: Sound event detection in real life audio. IEEE Dataport. http://dx.doi.org/10.21227/H2Z595
, 2016. DCASE2016: Sound event detection in real life audio. Available at: http://dx.doi.org/10.21227/H2Z595.
. (2016). "DCASE2016: Sound event detection in real life audio." Web.
1. . DCASE2016: Sound event detection in real life audio [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.21227/H2Z595
. "DCASE2016: Sound event detection in real life audio." doi: 10.21227/H2Z595

The Ace Challenge 2015


Several established parameters and metrics have been used to characterize the acoustics of a room. The most important are the Direct-To-Reverberant Ratio (DRR), the Reverberation Time (T60) and the reflection coefficient. The acoustic characteristics of a room based on such parameters can be used to predict the quality and intelligibility of speech signals in that room.

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Dataset Details

Citation Author(s):
Submitted by:
Alex Outman
Last updated:
Thu, 07/28/2016 - 11:35
DOI:
10.5072/FK2NV9G85X
Data Format:
Links:
 
Cite

Documentation

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[1] , "The Ace Challenge 2015", IEEE Dataport, 2016. [Online]. Available: http://dx.doi.org/10.5072/FK2NV9G85X. Accessed: Nov. 20, 2017.
@data{fk2nv9g85x-16,
doi = {10.5072/FK2NV9G85X},
url = {http://dx.doi.org/10.5072/FK2NV9G85X},
author = { },
publisher = {IEEE Dataport},
title = {The Ace Challenge 2015},
year = {2016} }
TY - DATA
T1 - The Ace Challenge 2015
AU -
PY - 2016
PB - IEEE Dataport
UR - 10.5072/FK2NV9G85X
ER -
. (2016). The Ace Challenge 2015. IEEE Dataport. http://dx.doi.org/10.5072/FK2NV9G85X
, 2016. The Ace Challenge 2015. Available at: http://dx.doi.org/10.5072/FK2NV9G85X.
. (2016). "The Ace Challenge 2015." Web.
1. . The Ace Challenge 2015 [Internet]. IEEE Dataport; 2016. Available from : http://dx.doi.org/10.5072/FK2NV9G85X
. "The Ace Challenge 2015." doi: 10.5072/FK2NV9G85X