USM-SED Dataset - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios

sounds
Download Site Abeßer2021

General information

Label Value Description
Name USM-SED Dataset - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios Full dataset name
ID sounds/usm_sed Datalist id for external indexing
Abbreviation USM-SED Official dataset abbreviation, e.g. one used in the original paper
Provider Fraunhofer IDMT
Year 2021 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name USM-SED Common name for all related datasets, used to group datasets coming from same source
Research domain SED 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
Download Download (49.3GB)
Companion site Site Link to the companion site for the dataset
Citation [Abeßer2021] USM-SED Dataset - A Dataset for Polyphonic Sound Event Detection in Urban Sound Monitoring Scenarios

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 Stereo Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable
Number of channels 2
Material
Source Freesound Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

Content

Content type Synthetic Possible values: Freefield | Synthetic | Isolated
Scene Constant Is the scene class constant for single recording, possible values: Constant | Variable
Event / Spatial location Constant Possible values: Constant | Moving | Unknown

Recording

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

Files

Count 20000 files Total number of files
Total duration (minutes) 1666.6 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) 5 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.

Event

Classes 27 Number of event classes
Classes
  • airplane
  • alarm
  • birds
  • bus
  • car
  • cheering
  • church bell
  • dogs
  • drilling
  • glass break
  • gunshot
  • hammer
  • helicopter
  • jackhammer
  • lawn mower
  • motorcycle
  • music
  • rain
  • sawing
  • scream
  • siren
  • speech
  • spray can
  • thunderstorm
  • train
  • truck
  • wind
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 Yes
Ontology name Yes
Instance
Count 80037 Count of all event instances in the dataset
Average instances per class 2964.333333333 Average per class instance count

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