SPASS dataset: A synthetic polyphonic dataset with spatiotemporal labels of sound sources

sounds
Download Viveros-munoz2023

General information

Label Value Description
Name SPASS dataset: A synthetic polyphonic dataset with spatiotemporal labels of sound sources Full dataset name
ID sounds/spass Datalist id for external indexing
Abbreviation SPASS Official dataset abbreviation, e.g. one used in the original paper
Provider SPASS
Year 2023 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name SPASS Common name for all related datasets, used to group datasets coming from same source
Research domain SED SELD Synthetic Strong 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
License Creative Commons, CC BY-NC 4.0
Download Download (40GB)
Citation [Viveros-munoz2023] The SPASS dataset: A new synthetic polyphonic dataset with spatiotemporal labels of sound sources

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 44.1 Bit depth of audio, possible values: 8 | 16 | 24 | 32
Sampling rate (kHz) 32 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 ESC-50 UrbanSound8K ETH Acoustic Event Dataset Freesound Making Sense of Sounds Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name]

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

Files

Count 25000 files Total number of files
Total duration (minutes) 4166.66666 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 Event Spatial location 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 5 Number of scene classes
Classes True Possible values: True | False | Almost
Classes
  • park
  • square
  • street
  • waterfront
  • market

Event

Classes 28 Number of event classes
Classes False Possible values: True | False | Almost
Classes
  • talk
  • scream
  • crowd
  • steps
  • music
  • dog
  • bird
  • rain
  • river
  • water
  • waves
  • wind
  • air conditioner
  • cutting
  • digging
  • explosive
  • fireworks
  • impact
  • car
  • bus/truck
  • motorcycle
  • water vehicle
  • airborne
  • alarm
  • bell
  • braking
  • horns
  • siren
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 (%) 0 % Percentage of all data, amount of data which has strong annotations
Overlapping event instances Yes
Labeling
Hierarchical Yes
Ontology name Yes
Instance
Count 351340 Count of all event instances in the dataset
Average instances per class 12547 Average per class instance count

Cross-validation setup

Label Value Description
Provided No

Baseline

Label Value Description