General information |
| Label |
Value |
Description |
|
Name |
Noise DB / Series 2 |
Full dataset name |
|
ID |
scenes/uea_noise_db_s2
|
Datalist id for external indexing |
|
Abbreviation |
NOISEDB-S2 |
Official dataset abbreviation, e.g. one used in the original paper |
|
Provider |
UEA |
|
|
Year |
2006 |
Dataset release year |
|
Modalities |
Audio
|
Data modalities included in the dataset |
|
Collection name |
UEA Noise DB |
Common name for all related datasets, used to group datasets coming from same source |
|
Research domain |
ASC
|
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 |
|
|
Companion site |
Site
|
Link to the companion site for the dataset |
|
Citation |
[Smith2006] Acoustic environment as an indicator of social and physical context
|
|
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 |
8 |
Bit depth of audio, possible values: 8 | 16 | 24 | 32 |
|
|
|
Sampling rate (kHz) |
8 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 |
Original
|
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 |
Unknown
|
Possible values: Near-field | Far-field | Mixed | Uncontrolled | Unknown |
|
|
Setup count |
1 |
Amount of different recording setups (microphone and recording device) used |
|
|
Spot type |
Moving
|
Possible values: Fixed | Moving | Unknown |
|
Files |
|
|
Count |
35 files |
Total number of files |
|
|
Total duration (minutes) |
175 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) |
300 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 |
10 |
Number of scene classes |
|
|
Classes |
True
|
Possible values: True | False | Almost |
|
|
Classes |
- building site
- bus
- car (city)
- car (highway)
- laundrette
- office
- presentation
- shopping mall
- street (people)
- street (traffic)
- supermarket
- train
|
|
|
|
Annotation |
|
|
|
Type |
Weak
|
Possible values: Strong | Weak | None |
|
|
|
Source |
Location
|
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 |
|
|
Labeling |
|
|
|
Hierarchical |
No
|
|
|
|
Instance |
|
|
|
Count |
35 |
Count of all scene instances in the dataset |
Cross-validation setup |
| Label |
Value |
Description |
|
|
Provided |
No
|
|