CHiME-Home, development & evaluation dataset

sounds
Download Site Foster2015

General information

Label Value Description
Name CHiME-Home, development & evaluation dataset Full dataset name
ID sounds/chime_home Datalist id for external indexing
Abbreviation CHiME-Home Official dataset abbreviation, e.g. one used in the original paper
Provider QMUL
Year 2015 Dataset release year
Modalities Audio Data modalities included in the dataset
Collection name CHiME Common name for all related datasets, used to group datasets coming from same source
Research domain Tagging Domestic 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
Download Download (3.9GB)
Companion site Site Link to the companion site for the dataset
Citation [Foster2015] CHiME-Home: A Dataset for Sound Source Recognition in a Domestic Environment

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, 16 kHz Sampling rate in kHz, possible values: 8 | 16 | 22.05 | 32 | 44.1 | 48
Channels
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 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 6138 files Total number of files
Total duration (minutes) 409.2 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) 4 sec Approximate length of files

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
  • Domestic

Event

Classes 7 Number of event classes
Classes
  • child speech
  • adult male speech
  • adult female speech
  • video game / TV
  • percussive sounds
  • broadband noise
  • other identifiable sounds
Annotation
Type Weak Possible values: Strong | Weak | Location | None
Source Experts Possible values: Experts | Crowdsourced | Synthetic | Metadata | Automatic
Labelled amount (%) 100 % Percentage of all data, amount of data which is labelled
Validated amount (%) 100 % Percentage of all data, amount of data which is validated by human
Strong annotations amount (%) 0 % 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 5
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 [Foster2015] Paper to cite for the baseline

Info

Label Value Description
Evaluation campaign DCASE2016 task4 Evaluation campaigns where the dataset was used.