NAR

sounds

General information

Label Value Description
Name NAR Full dataset name
ID sounds/inria_nar Datalist id for external indexing
Abbreviation NAR Official dataset abbreviation, e.g. one used in the original paper
Provider INRIA
Year 2014 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name NAR Common name for all related datasets, used to group datasets coming from same source
Research domain Tagging Weak annotation Isolated sounds 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 Free
Download Download (35MB)
Companion site Site Link to the companion site for the dataset
Citation [Janvier2014] Sound Representation and Classification Benchmark for Domestic Robots

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) 48 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 Isolated Possible values: Freefield | Synthetic | Isolated
Scene Constant Is the scene class constant for single recording, possible values: Constant | Variable

Recording

Setup Uncontrolled 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 852 files Total number of files
Total duration (minutes) 8 min Total duration of the dataset in minutes
File length Variable Characterization of the file lengths, possible values: Constant | Quasi-constant | Variable

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 2 Number of scene classes
Classes False Possible values: True | False | Almost
Classes
  • Kitchen
  • Office

Event

Classes 42 Number of event classes
Classes Almost Possible values: True | False | Almost
Classes
  • choking
  • close microwave
  • cuttlery
  • door close
  • door open
  • eating
  • fill a glass
  • fingerclap
  • fridge
  • handclap
  • key
  • knock
  • microwave
  • move a chair
  • open microwave
  • open/close a drawer
  • ripped paper
  • running the tap
  • speech
  • toaster
  • tongue clic
  • zip
Annotation
Type Weak Possible values: Strong | Weak | Location | None
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 No
Labeling
Hierarchical Yes
Instance
Count 852 Count of all event instances in the dataset
Average instances per class 1.0243902439 Average per class instance count