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audio_dataset [2019/07/17 10:26]
waag
audio_dataset [2019/07/17 10:31] (current)
waag
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 == Urban Sound Classification == == Urban Sound Classification ==
  
-The dataset is called UrbanSound and contains 8732 labeled sound excerpts (<=4s) of urban sounds from 10 classes: - The dataset contains 8732 sound excerpts ​(<​=4s) ​of urban sounds from 10 classes, namely: Air Conditioner Car Horn Children Playing Dog bark Drilling Engine Idling Gun Shot Jackhammer Siren Street Music.+The dataset is called UrbanSound and contains 8732 labeled sound excerpts ( under 4s) of urban sounds from 10 classes: - The dataset contains 8732 sound excerpts of urban sounds from 10 classes, namely: Air Conditioner Car Horn Children Playing Dog bark Drilling Engine Idling Gun Shot Jackhammer Siren Street Music.
  
 {{ :​screen_shot_2019-07-17_at_09.59.33.png?​nolink&​600 |}} {{ :​screen_shot_2019-07-17_at_09.59.33.png?​nolink&​600 |}}
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 ---- ----
 \\ \\
 +
 +== Mivia | Audio Dataset for Surveillance Application ==
 +
 +6,000 events of surveillance applications,​ namely glass breaking, gunshots, and screams. The events are divided into a training set composed of 4,200 events and a test set composed of 1,800 events. In audio surveillance applications,​ the events of interest (for instance a scream) can occur at different distances from the microphone that correspond to different levels of the signal-to-noise ratio. Moreover, in these applications the events are generally mixed with a complex background, usually composed of several types of different sounds depending on the specific environments both indoor and outdoor (household appliances, cheering of crowds, talking people, traffic jam, passing cars or motorbikes etc...)
 +
 +{{ :​1-s2.0-s0167865515001981-gr1.jpg?​nolink&​600 |}}
 +\\
 +File Size : 6 GB *Registration Required
 +\\
 +Link : [[https://​mivia.unisa.it/​datasets/​audio-analysis/​mivia-audio-events/​]]
 +
  
  • audio_dataset.txt
  • Last modified: 2019/07/17 10:31
  • by waag