TUT Rare sound events 2017, Evaluation dataset

sounds

General information

Label Value Description
Name TUT Rare sound events 2017, Evaluation dataset Full dataset name
ID sounds/tut_rare_sound_events_2017_eval Datalist id for external indexing
Abbreviation TUT-RARE-SED-EVAL Official dataset abbreviation, e.g. one used in the original paper
Provider TUT
Year 2017 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name TUT Rare SED Common name for all related datasets, used to group datasets coming from same source
Research domain SED Strong annotation Synthetic Alert 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 (7.4GB)
Citation [Mesaros2017] DCASE 2017 challenge setup: tasks, datasets and baseline system

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 24 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 Freesound TUT-ASC2016-DEV Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]
Variability sources SNR Possible values: Country | City | Location | Position | Device

Content

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

Recording

Setup Unknown Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Spot type Fixed Possible values: Fixed | Moving | Unknown

Files

Count 3000 files Total number of files
Total duration (minutes) 1500 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) 30 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 15 Number of scene classes
Classes True Possible values: True | False | Almost

Event

Classes 3 Number of event classes
Classes True Possible values: True | False | Almost
Classes
  • baby crying
  • glass breaking
  • gunshot
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 No
Labeling
Hierarchical No
Instance
Count 1500 Count of all event instances in the dataset
Average instances per class 1500 Average per class instance count

Baseline

Label Value Description
Download Download Link to baseline system source code
Citation [Mesaros2017] Paper to cite for the baseline

Info

Label Value Description
Evaluation campaign DCASE2017 task2 Evaluation campaigns where the dataset was used.