CENSEgram-5M

Created By Félix Gontier and Mathieu Lagrange, LS2N, CNRS, Ecole Centrale Nantes

Contact : [e-mail]

If used for research, please refer to:

@article{gontier2021training,
title={Polyphonic training set synthesis improves self-supervised urban sound classification},
author={Félix Gontier and Vincent Lostanlen, and Mathieu Lagrange and Nicolas Fortin and Jean-Francois Petiot and Catherine Lavandier},
journal={The Journal of the Acoustical Society of America},
year={2021},
publisher={Acoustical Society of America}
}

CENSEgram-5M contains third-octave spectrograms from the CENSE network of acoustic sensors.
These spectrograms correspond to five days of continuous measurements obtained in December 2019 by 16 sensors.
The total duration of the dataset is of the order of 5M seconds, i.e., 1280 hours.

The dataset is stored in a h5 file with one table called sensor that provides description of the sensors (id, latitude, longitude), and two groups that respectively store vectors of spectral and timestamp data.

The audio is made available as third octave spectral data, see demoTob.zip for an implementation of its computation from audio in Python.

From a python interpreter:

import tables as tb

>>> s=tb.open('CENSEgram-5M.h5')

Traceback (most recent call last):

  File "", line 1, in

AttributeError: module 'tables' has no attribute 'open'

>>> s=tb.open_file('CENSEgram-5M.h5')

>>> print(s)

CENSEgram-5M.h5 (File) ''

Last modif.: 'Wed Apr 14 15:08:15 2021'

Object Tree: 

/ (RootGroup) ''

/sensor (Table(16,)) 'Sensor information'

/spectrum (Group) 'spectral data third octave bands fast (125ms)'

/spectrum/sensor0 (Array(3296320, 29)) ''

...

/spectrum/sensor15 (Array(3296320, 29)) ''

...

/time (Group) 'time expressed in epoch'

/time/sensor0 (Array(3296320,)) ''

...

/time/sensor15 (Array(3296320,)) ''

The table sensor reads:

$ ptdump CENSEgram-5M.h5:/sensor -d

/sensor (Table(16,)) 'Sensor information'

  Data dump:

[0] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-E1-FB-4F', -3.36587, 47.74907, 0)

[1] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-EA-EB-EA', -3.36526, 47.74832, 1)

[2] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-A0-F5-4F', -3.36539, 47.74851, 2)

[3] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-C3-D1-E5', -3.36452, 47.74914, 3)

[4] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-77-1C-26', -3.36609, 47.74945, 4)

[5] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-CC-42-7D', -3.36493, 47.74904, 5)

[6] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-EA-12-88', -3.3684, 47.75114, 6)

[7] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-5D-A9-60', -3.36774, 47.75078, 7)

[8] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-60-92-E2', -3.36571, 47.74877, 8)

[9] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-74-92-77', -3.36495, 47.7479, 9)

[10] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-11-D0-A3', -3.35738, 47.75604, 10)

[11] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-1F-AB-9F', -3.36477, 47.74782, 11)

[12] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-4E-59-87', -3.36639, 47.74987, 12)

[13] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-52-F4-03', -3.3651, 47.74806, 13)

[14] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-20-DA-A9', -3.35946, 47.75488, 14)

[15] (b'urn:osh:sensor:noisemonitoring:B8-27-EB-56-87-4E', -3.3581, 47.75557, 15)