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Title: GitHub - TUT-ARG/DCASE2016-baseline-system-python: DCASE 2016 Baseline system, python implementation · GitHub

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Description: DCASE 2016 Baseline system, python implementation. Contribute to TUT-ARG/DCASE2016-baseline-system-python development by creating an account on GitHub.

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Mail addresses
toni.heittola@tut.fi
annamaria.mesaros@tut.fi
tuomas.virtanen@tut.fi

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task3_sound_event_detection_in_real_life_audio.pyhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python/blob/master/task3_sound_event_detection_in_real_life_audio.py
task3_sound_event_detection_in_real_life_audio.pyhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python/blob/master/task3_sound_event_detection_in_real_life_audio.py
task3_sound_event_detection_in_real_life_audio.yamlhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python/blob/master/task3_sound_event_detection_in_real_life_audio.yaml
task3_sound_event_detection_in_real_life_audio.yamlhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python/blob/master/task3_sound_event_detection_in_real_life_audio.yaml
READMEhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#dcase2016-baseline-system
Audio Research Group / Tampere University of Technologyhttp://arg.cs.tut.fi/
http://www.cs.tut.fi/~heittolt/http://www.cs.tut.fi/~heittolt/
http://www.cs.tut.fi/~mesaros/http://www.cs.tut.fi/~mesaros/
http://www.cs.tut.fi/~tuomasv/http://www.cs.tut.fi/~tuomasv/
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#table-of-contents
Introductionhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#1-introduction
Installationhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#2-installation
Usagehttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#3-usage
System blockshttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#4-system-blocks
System evaluationhttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#5-system-evaluation
System parametershttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#6-system-parameters
Changeloghttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#7-changelog
Licensehttps://github.com/TUT-ARG/DCASE2016-baseline-system-python#8-license
Detection and Classification of Acoustic Scenes and Events 2016 (DCASE2016) challengehttp://www.cs.tut.fi/sgn/arg/dcase2016/
tasks 1https://github.com/TUT-ARG/DCASE2016-baseline-system-python#11-acoustic-scene-classification
task 3https://github.com/TUT-ARG/DCASE2016-baseline-system-python#12-sound-event-detection
Acoustic scene classificationhttp://www.cs.tut.fi/sgn/arg/dcase2016/task-acoustic-scene-classification
Sound event detection in synthetic audiohttp://www.cs.tut.fi/sgn/arg/dcase2016/task-sound-event-detection-in-synthetic-audio
Sound event detection in real life audiohttp://www.cs.tut.fi/sgn/arg/dcase2016/task-sound-event-detection-in-real-life-audio
Domestic audio tagginghttp://www.cs.tut.fi/sgn/arg/dcase2016/task-audio-tagging
MFCChttps://en.wikipedia.org/wiki/Mel-frequency_cepstrum
GMMhttps://en.wikipedia.org/wiki/Mixture_model
Matlab implementationhttps://github.com/TUT-ARG/DCASE2016-baseline-system-matlab
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#11-acoustic-scene-classification
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#12-sound-event-detection
Python 2.7.0https://www.python.org/
numpyhttp://www.numpy.org/
scipyhttp://www.scipy.org/
scikit-learnhttp://scikit-learn.org/
PyYAMLhttp://pyyaml.org/
librosahttps://github.com/bmcfee/librosa
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#development-mode
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#challenge-mode
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#task-1---acoustic-scene-classification
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#metrics
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#results
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#tut-acoustic-scenes-2016-development-set
Datasethttps://zenodo.org/record/45739
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#dcase-2013-scene-classification-development-set
Datasethttp://c4dm.eecs.qmul.ac.uk/rdr/handle/123456789/29
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#task-3---real-life-audio-sound-event-detection
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#metrics-1
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DCASE2016 websitehttp://www.cs.tut.fi/sgn/arg/dcase2016/sound-event-detection-metrics
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#results-1
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#tut-sound-events-2016-development-set
Datasethttps://zenodo.org/record/45759
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#12--2016-11-10
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#11--2016-05-19
https://github.com/TUT-ARG/DCASE2016-baseline-system-python#10--2016-02-08
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machine-learning https://github.com/topics/machine-learning
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