DCASE 2018, Task 5: Monitoring of domestic activities based on multi-channel acoustics - Evaluation dataset

sounds
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General information

Label Value Description
Name DCASE 2018, Task 5: Monitoring of domestic activities based on multi-channel acoustics - Evaluation dataset Full dataset name
ID sounds/dcase2018_task5_eval Datalist id for external indexing
Abbreviation DCASE2018-SINS-EVAL Official dataset abbreviation, e.g. one used in the original paper
Provider KU Leuven
Year 2018 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name SINS Common name for all related datasets, used to group datasets coming from same source
Research domain SED Tagging Domestic Weak annotation Multi-channel 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 Free
Download Download (42.6GB)
Citation [Dekkers2017] The SINS Database for Detection of Daily Activities in a Home Environment Using an Acoustic Sensor Network

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 12 Bit depth of audio, possible values: 8 | 16 | 24 | 32
Sampling rate (kHz) 16 kHz Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48
Channels
Setup Array Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 4
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
Event / Spatial location Moving Possible values: Constant | Moving | Unknown

Recording

Setup Uncontrolled 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 72972 files Total number of files
Total duration (minutes) 12162 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) 10 sec Approximate length of files

Meta

Label Value Description
Types Tag 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 False Possible values: True | False | Almost
Classes
  • Living room and kitchen

Event

Classes 9 Number of event classes
Classes False Possible values: True | False | Almost
Annotation
Type Weak Possible values: Strong | Weak | Location | None
Source Experts 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 No
Labeling
Hierarchical No
Instance
Count 72972 Count of all event instances in the dataset
Average instances per class 8108 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
Citation [Dekkers2018] Paper to cite for the baseline

Info

Label Value Description
Evaluation campaign DCASE2018 task5 Evaluation campaigns where the dataset was used.