IEEE DCASE 2016 Challenge - Task 2 - Test Dataset

sounds

General information

Label Value Description
Name IEEE DCASE 2016 Challenge - Task 2 - Test Dataset Full dataset name
ID sounds/dcase2016_task2_eval Datalist id for external indexing
Abbreviation DCASE2016-SED-SYNTH-EVAL Official dataset abbreviation, e.g. one used in the original paper
Provider IRCCYN
Year 2016 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name DCASE2016-SED-SYNTH Common name for all related datasets, used to group datasets coming from same source
Research domain SED Synthetic 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 3.0
Download Download (314MB)
Citation [Lafay2017] Sound event detection in synthetic audio: analysis of the DCASE 2016 task results

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 Mono Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 1
Material
Source Original Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]
Variability sources SNR presence of overlapping events event density Possible values: Country | City | Location | Position | Device

Content

Content type Synthetic 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 54 files Total number of files
Total duration (minutes) 108 min Total duration of the dataset in minutes
File length Constant Characterization of the file lengths, possible values: Constant | Quasi-constant | Variable
File length (seconds) 120 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

Event

Classes 11 Number of event classes
Classes True Possible values: True | False | Almost
Classes
  • clearing throat
  • coughing
  • door knock
  • door slam
  • drawer
  • human laughter
  • keyboard
  • keys
  • page turning
  • phone ringing
  • speech
Annotation
Type Strong Possible values: Strong | Weak | Location | None
Source Synthetic Possible values: Experts | Crowdsourced | Synthetic | Metadata | Automatic
Annotations per item 1 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 Yes
Labeling
Hierarchical No
Instance
Count 1782 Count of all event instances in the dataset
Average instances per class 162 Average per class instance count

Cross-validation setup

Label Value Description
Provided No

Baseline

Label Value Description
Download Download Link to baseline system source code

Info

Label Value Description
Evaluation campaign DCASE2016 task2 Evaluation campaigns where the dataset was used.