The University of Southampton
University of Southampton Institutional Repository

A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring

A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring
A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring
hmm, cicada, new forest cicada, crowdsourcing, citizen science, biodiversity monitoring, mobile computing, mobile sensing, computational sustainability
2945-2951
Zilli, Davide
fd263fca-cd6b-48eb-b9be-30e168a51a39
Parson, Oliver
9630bcd4-3d91-4b2a-b94a-24bdb84efab6
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Zilli, Davide
fd263fca-cd6b-48eb-b9be-30e168a51a39
Parson, Oliver
9630bcd4-3d91-4b2a-b94a-24bdb84efab6
Merrett, Geoff
89b3a696-41de-44c3-89aa-b0aa29f54020
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc

Zilli, Davide, Parson, Oliver, Merrett, Geoff and Rogers, Alex (2013) A hidden Markov model-based acoustic cicada detector for crowdsourced smartphone biodiversity monitoring. 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), , Beijing, China. 03 - 09 Aug 2013. pp. 2945-2951 .

Record type: Conference or Workshop Item (Paper)
Text
NFC-IJCAI13.pdf - Author's Original
Download (1MB)

More information

Published date: August 2013
Venue - Dates: 23rd International Joint Conference on Artificial Intelligence (IJCAI 2013), , Beijing, China, 2013-08-03 - 2013-08-09
Keywords: hmm, cicada, new forest cicada, crowdsourcing, citizen science, biodiversity monitoring, mobile computing, mobile sensing, computational sustainability
Organisations: Electronics & Computer Science

Identifiers

Local EPrints ID: 352097
URI: http://eprints.soton.ac.uk/id/eprint/352097
PURE UUID: d9c798d3-c823-47f4-8a00-345700d83900
ORCID for Geoff Merrett: ORCID iD orcid.org/0000-0003-4980-3894

Catalogue record

Date deposited: 02 May 2013 10:45
Last modified: 15 Mar 2024 03:23

Export record

Contributors

Author: Davide Zilli
Author: Oliver Parson
Author: Geoff Merrett ORCID iD
Author: Alex Rogers

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×