CochlScene: Acquisition of Acoustic Scene Data Using Crowdsourcing

scenes
Download Site Jeong2022

General information

Label Value Description
Name CochlScene: Acquisition of Acoustic Scene Data Using Crowdsourcing Full dataset name
ID scenes/cochlscene Datalist id for external indexing
Abbreviation CochlScene Official dataset abbreviation, e.g. one used in the original paper
Provider Cochl
Year 2022 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name CochlScene Common name for all related datasets, used to group datasets coming from same source
Research domain Scenes Crowdsourcing 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
License Creative Commons, CC BY-SA 3.0
Download Download (53.3GB)
Companion site Site Link to the companion site for the dataset
Citation [Jeong2022] CochlScene: Acquisition of acoustic scene data using crowdsourcing

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 Crowdsourced 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 Uncontrolled Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown
Setup count 831 Amount of different recording setups (microphone and recording device) used
Spot type Unknown Possible values: Fixed | Moving | Unknown

Files

Count 76115 files Total number of files
Total duration (minutes) 12685.8 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 Scene 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 13 Number of scene classes
Classes Almost Possible values: True | False | Almost
Classes
  • bus
  • cafe
  • car
  • crowded indoor
  • elevator
  • kitchen
  • park
  • residential area
  • restaurant
  • restroom
  • street
  • subway
  • subway station
Annotation
Type Weak Possible values: Strong | Weak | None
Source Crowdsourced Possible values: Experts | Crowdsourced | Synthetic | Location
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
Validated amount (%) 100 % Percentage of all data, amount of data which is validated by human
Labeling
Hierarchical No
Instance
Count 76115 Count of all scene instances in the dataset

Cross-validation setup

Label Value Description
Provided Yes
Folds 1
Sets Train Val Test Set types provided in the split, possible values: Train | Test | Val | Dev | Eval

Baseline

Label Value Description
Download Download Link to baseline system source code
Citation [Jeong2022] Paper to cite for the baseline

Info

Label Value Description