Isolated urban sound database

sounds

General information

Label Value Description
Name Isolated urban sound database Full dataset name
ID sounds/iusd Datalist id for external indexing
Abbreviation IUSD Official dataset abbreviation, e.g. one used in the original paper
Year 2018 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name IUSD Common name for all related datasets, used to group datasets coming from same source
Related datasets name
License Creative Commons, CC BY 4.0
Download Download (2.3GB)
Citation [Gloaguen2018] Creation of a corpus of realistic urban sound scenes with controlled acoustic properties

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 Variable Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Material
Source UrbanSound8K Freesound Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

Content

Content type Isolated Possible values: Freefield | Synthetic | Isolated

Recording

Setup Unknown Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown

Files

Count 399 files Total number of files
Total duration (minutes) 288 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) 1-60 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 10 Number of scene classes
Classes False Possible values: True | False | Almost
Classes
  • bird
  • construction site
  • crowd
  • fountain
  • park
  • rain
  • school yard
  • traffic
  • ventilation
  • wind tree

Event

Classes 21 Number of event classes
Classes False Possible values: True | False | Almost
Classes
  • bell
  • whistle bird
  • sweeping broom
  • car horn
  • car
  • hammer and drill
  • coughing
  • dog barking
  • car door
  • house door
  • plane
  • siren
  • foot step
  • thunder
  • street noise
  • suitcase rolling
  • train passing
  • tramway passing
  • truck
  • voice
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
Validated amount (%) 100 % Percentage of all data, amount of data which is validated by human
Strong annotations amount (%) 0 % Percentage of all data, amount of data which has strong annotations
Overlapping event instances No
Labeling
Hierarchical No
Instance
Count 231 Count of all event instances in the dataset
Average instances per class 11.55 Average per class instance count

Cross-validation setup

Label Value Description
Provided No