General information | |||||
| Label | Value | Description | |||
|---|---|---|---|---|---|
| Name | TAU-NIGENS Spatial Sound Events 2020 | Full dataset name | |||
| ID | sounds/tau_nigens_spatial_events_2020 | Datalist id for external indexing | |||
| Abbreviation | TAU-NIGENS-SELD2020 | Official dataset abbreviation, e.g. one used in the original paper | |||
| Provider | TAU | ||||
| Year | 2020 | Dataset release year | |||
| Modalities | Audio | Data modalities included in the dataset | |||
| Collection name | TAU Spatial Sound Events | 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 | |||
| Related datasets name | |||||
| License | Free | ||||
| Download | Download (14GB) | ||||
| Citation | [Politis2020] A dataset of reverberant spatial sound scenes with moving sources for sound event localization and detection | ||||
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 | |||
| Sampling rate (kHz) | 24 kHz | Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48 | |||
Channels | |||||
| Setup | Ambisonic Array | Possible values: Mono | Stereo | Binaural | Ambisonic | Array | Multi-Channel | Variable | |||
| Number of channels | 4 | ||||
Material | |||||
| Source | Original | Possible values: Original | Youtube | Freesound | Online | Crowdsourced | [Dataset name] | |||
| Variability sources | SNR Room impulse response Spatial location | Possible values: Country | City | Location | Position | Device | |||
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 | Moving | Possible values: Constant | Moving | Unknown | |||
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 | Fixed | Possible values: Fixed | Moving | Unknown | |||
Files | |||||
| Count | 800 files | Total number of files | |||
| Total duration (minutes) | 800 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) | 60 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 | 1 | Number of scene classes | |||
| Classes | True | Possible values: True | False | Almost | |||
Event | |||||
| Classes | 14 | Number of event classes | |||
| Classes | True | Possible values: True | False | Almost | |||
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 | No | ||||
Instance | |||||
Cross-validation setup | |||||
| Label | Value | Description | |||
| Provided | Yes | ||||
| Folds | 1 | ||||
| Sets | Train 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 | [Adavanne2018] | Paper to cite for the baseline | |||
Info | |||||
| Label | Value | Description | |||
| Evaluation campaign | DCASE2020 task3 | Evaluation campaigns where the dataset was used. | |||