Thesis Topic Details
Topic ID: |
338 | |
Title: |
Bioacoustic Data Mining | |
Supervisor: |
Andrew Taylor | |
Research Area: |
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| Associated Staff | ||
|---|---|---|
Assessor: |
William H. Wilson | |
| Topic Details | ||
Status: |
Active | |
Type: |
R & D | |
Programs: |
CS CE BIOM BINF SE | |
Group Suitable: |
No | |
Industrial: |
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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. |
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Comments: |
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| Past Student Reports | ||
| Matthew James NIGL in s2, 2010 Bioacoustic Data Mining |
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Download report from the CSE Thesis Report Library NOTE: only current CSE students can login to view and select reports to download. | ||