Dataset Open Access

DEMAND: a collection of multi-channel recordings of acoustic noise in diverse environments

Thiemann, Joachim; Ito, Nobutaka; Vincent, Emmanuel

DEMAND: Diverse Environments Multichannel Acoustic Noise Database

A database of 16-channel environmental noise recordings

Introduction

Microphone arrays, a (typically regular) arrangement of several microphones, allow for a number of interesting signal processing techniques. The correlation of audio signals from microphones that are located in close proximity with each other can, for example, be used to determine the spatial location of sound source relative to the array, or to isolate or enhance a signal based on the direction from which the sound reaches the array.

Typically, experiments with microphone arrays that consider acoustic background noise use controlled environments or simulated environments. Such artificial setups will in general be sparse in terms of noise sources. Other pre-existing real-world noise databases (e.g. the AURORA-2 corpus, the CHiME background noise data, or the NOISEX-92 database) tend to provide only a very limited variety of environments and are limited to at most 2 channels.

The DEMAND (Diverse Environments Multichannel Acoustic Noise Database) presented here provides a set of recordings that allow testing of algorithms using real-world noise in a variety of settings. This version provides 15 recordings. All recordings are made with a 16-channel array, with the smallest distance between microphones being 5 cm and the largest being 21.8 cm.

License

This work, the audio data and the document describing it, is licensed under a Creative Commons Attribution-ShareAlike 3.0 Unported License.

The data

A description of the data and the recording equipment is provided in the file DEMAND.pdf. All recordings are available as 16 single-channel WAV files in one directory at both 48 kHz and 16 kHz sampling rates. All files are compressed into "zip" files.

Other information

The MATLAB scripts listed in the documentation can be found in the file scripts.zip.

The Authors

This work was created by Joachim Thiemann (IRISA-CNRS), Nobutaka Ito (University of Tokyo), and Emmanuel Vincent (Inria Rennes - Bretagne Atlantique). It was supported by Inria under the Associate Team Program VERSAMUS.

Supported by Inria under the Associate Team Program VERSAMUS
Files (7.4 GB)
Name Size
DEMAND.pdf
md5:a513afe131e08cdacf7c1854b174d5ab
87.8 kB Download
DKITCHEN_16k.zip
md5:7ffbf52d7f4699f96927846103dc8788
110.5 MB Download
DKITCHEN_48k.zip
md5:b4d38241fbd50d8a17f8742ca6870c10
337.0 MB Download
DLIVING_16k.zip
md5:46741384d9e434a0bd8b3ec1830b6052
80.2 MB Download
DLIVING_48k.zip
md5:6ea02bb944e7e5950274f9e7d5faab4b
254.0 MB Download
DWASHING_16k.zip
md5:7e5ee9437ce9409c5f9a779b6212a240
102.3 MB Download
DWASHING_48k.zip
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306.1 MB Download
NFIELD_16k.zip
md5:a740046c6f4e174e16f5d568aaec5024
86.5 MB Download
NFIELD_48k.zip
md5:937eab7d3f64cea99fa377238e84c185
270.5 MB Download
NPARK_16k.zip
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86.0 MB Download
NPARK_48k.zip
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257.6 MB Download
NRIVER_16k.zip
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98.7 MB Download
NRIVER_48k.zip
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284.6 MB Download
OHALLWAY_16k.zip
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77.9 MB Download
OHALLWAY_48k.zip
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OMEETING_16k.zip
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82.7 MB Download
OMEETING_48k.zip
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253.3 MB Download
OOFFICE_16k.zip
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89.0 MB Download
OOFFICE_48k.zip
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277.6 MB Download
PCAFETER_16k.zip
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107.4 MB Download
PCAFETER_48k.zip
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PRESTO_16k.zip
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111.3 MB Download
PRESTO_48k.zip
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327.4 MB Download
PSTATION_16k.zip
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119.4 MB Download
PSTATION_48k.zip
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348.9 MB Download
SCAFE_48k.zip
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325.9 MB Download
scripts.zip
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4.8 kB Download
SPSQUARE_16k.zip
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110.9 MB Download
SPSQUARE_48k.zip
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320.5 MB Download
STRAFFIC_16k.zip
md5:2efa87262f272bbf9ba578088e81939c
118.6 MB Download
STRAFFIC_48k.zip
md5:ffbcdebb7e1c39d3d5b7920b0594e20b
348.3 MB Download
TBUS_16k.zip
md5:706b11b0d8504f9f3b3f3211e91b3863
128.9 MB Download
TBUS_48k.zip
md5:f7d6657314d90c6f270955eaed411ddc
376.2 MB Download
TCAR_16k.zip
md5:4d930012796bd298932245a26189f973
130.0 MB Download
TCAR_48k.zip
md5:8550f03e8356d8054ae845e8b4b6c773
373.5 MB Download
TMETRO_16k.zip
md5:95daf4df678e13b120e14211e6d89571
126.6 MB Download
TMETRO_48k.zip
md5:00d895020233f94348aafce7140d671f
367.5 MB Download
14,376
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All versions This version
Views 14,37614,376
Downloads 14,08814,088
Data volume 1.8 TB1.8 TB
Unique views 13,08313,083
Unique downloads 3,5243,524

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