Thesis Topic Details

Topic ID:
338
Title:
Bioacoustic Data Mining
Supervisor:
Andrew Taylor
Research Area:
Associated Staff
Assessor:
William H. Wilson
Topic Details
Status:
Active
Type:
R & D
Programs:
CS CE BIOM BINF SE
Group Suitable:
No
Industrial:
Pre-requisites:
Strong programming skills + interest in one of AI or statistics or audio processing
Description:
I'm looking for students to participate in a long-term project which is constructing software to allow animals to be monitored by their calls. The software processes a stream of sound from a natural environment, isolating and categorizing the sounds present from animals such birds, frogs, bats. The results are presented in form suitable for users such as biologists, wildlife managers and conservation groups.
Comments:
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Past Student Reports
  Matthew James NIGL in s2, 2010
Bioacoustic Data Mining
 

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