IEEE AASP CASA Challenge - Development Dataset for Event Detection Task (subtask OL)

sounds

General information

Label Value Description
Name IEEE AASP CASA Challenge - Development Dataset for Event Detection Task (subtask OL) Full dataset name
ID sounds/dcase2013_private_live Datalist id for external indexing
Abbreviation DCASE2013-SED-EVAL-LIVE Official dataset abbreviation, e.g. one used in the original paper
Provider IEEE AASP Challenge 2013
Year 2012 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name DCASE2013 Common name for all related datasets, used to group datasets coming from same source
Research domain SED Office Strong annotation Related domains, e.g., Scenes, Mobile devices, Audio-visual, Open set, Ambient noise, Unlabelled, Multiple sensors, SED, SELD, Tagging, FL, Strong annotation, Weak annotation, Unlabelled, Multi-annotator
Related datasets name
License Creative Commons, CC BY 4.0
Download Download (328.4MB)
Companion site Site Link to the companion site for the dataset
Citation [Stowell2015] Detection and Classification of Acoustic Scenes and Events

Audio

Label Value Description

Data

Data type Audio Possible values: Audio | Features
File format
File format type Constant Possible values: Constant | Variable
File format wav Possible value: wav | aiff | flac | mp3 | aac | ogg
Lossy compression No is audio compressed in a lossy manner
Bit rate 16 Bit depth of audio, possible values: 8 | 16 | 24 | 32
Sampling rate (kHz) 44.1 kHz Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48
Channels
Setup Stereo Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 2
Material
Source Original Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

Content

Content type Freefield Possible values: Freefield | Synthetic | Isolated
Scene Constant Is the scene class constant for single recording, possible values: Constant | Variable

Recording

Setup Unknown Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Setup count 1 Amount of different recording setups (microphone and recording device) used
Spot type Fixed Possible values: Fixed | Moving | Unknown

Files

Count 11 files Total number of files
Total duration (minutes) 26.68 min Total duration of the dataset in minutes
File length Variable Characterization of the file lengths, possible values: Constant | Quasi-constant | Variable
File length (seconds) 99-195 sec Approximate length of files

Meta

Label Value Description
Types Event List of meta data types provided for the data, possible values: Event, Tag, Scene, Caption, Geolocation, Spatial location, Annotator, Timestamp, Presence, Proximity, etc.

Scene

Classes 1 Number of scene classes
Classes True Possible values: True | False | Almost
Classes
  • Office

Event

Classes 16 Number of event classes
Classes False Possible values: True | False | Almost
Classes
  • alarm
  • clearing throat
  • cough
  • door slam
  • drawer
  • keyboard
  • keys
  • door knock
  • laughter
  • mouse click
  • page turning
  • pendrop
  • phone
  • printer
  • speech
  • switch
Annotation
Type Strong Possible values: Strong | Weak | Location | None
Source Experts Possible values: Experts | Crowdsourced | Synthetic | Metadata | Automatic
Annotations per item 2 How many annotations there are available per item (possible multi-annotator setup)
Labelled amount (%) 100 % Percentage of all data, amount of data which is labelled
Strong annotations amount (%) 100 % Percentage of all data, amount of data which has strong annotations
Overlapping event instances No
Labeling
Hierarchical No
Instance
Count 752 Count of all event instances in the dataset
Average instances per class 47 Average per class instance count

Info

Label Value Description
Evaluation campaign DCASE2013 task2 (subtask OL) Evaluation campaigns where the dataset was used.