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TUT Acoustic Scenes 2017 Features

Heittola, Toni; Mesaros, Annamaria; Virtanen, Tuomas

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<oai_dc:dc xmlns:dc="" xmlns:oai_dc="" xmlns:xsi="" xsi:schemaLocation="">
  <dc:contributor>Fagerlund, Eemi</dc:contributor>
  <dc:contributor>Hiltunen, Aku</dc:contributor>
  <dc:contributor>Heittola, Toni</dc:contributor>
  <dc:creator>Heittola, Toni</dc:creator>
  <dc:creator>Mesaros, Annamaria</dc:creator>
  <dc:creator>Virtanen, Tuomas</dc:creator>
  <dc:description>TUT Acoustic Scenes features dataset consists of feature matrices extracted for 10-seconds audio segments from 15 acoustic scenes: 

	Bus - traveling by bus in the city (vehicle)
	Cafe / Restaurant - small cafe/restaurant (indoor)
	Car - driving or traveling as a passenger, in the city (vehicle)
	City center (outdoor)
	Forest path (outdoor)
	Grocery store - medium size grocery store (indoor)
	Home (indoor)
	Lakeside beach (outdoor)
	Library (indoor)
	Metro station (indoor)
	Office - multiple persons, typical work day (indoor)
	Residential area (outdoor)
	Train (traveling, vehicle)
	Tram (traveling, vehicle)
	Urban park (outdoor)

Dataset is split into **Train set** and **Test set**. Each acoustic scene in the Train set has 300 segments, and Test set has 100 segments. The dataset contains similar material to other TUT Acoustic Scenes 2017 datasets: TUT Acoustic Scenes 2017 development dataset and TUT Acoustic Scenes 2017 evaluation dataset. All these  datasets are composed from same pool of original audio recordings, but exact audio segments selected for the datasets differ. </dc:description>
  <dc:subject>computational auditory scene analysis</dc:subject>
  <dc:subject>acoustic scene classification</dc:subject>
  <dc:subject>acoustic features</dc:subject>
  <dc:title>TUT Acoustic Scenes 2017 Features</dc:title>
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