Dolphin Accoustics

The Dolphin Acoustics project addresses the challenge of efficiently and accurately analysing data collected from dolphins using passive acoustic recorders.

Passive acoustic methods are commonly used to study and monitor dolphin species, and these methods produce very large volumes of data. It is therefore important to develop computer-based algorithms that can be used to efficiently and accurately detect, measure and identify sounds in passive acoustic recordings. The output of these algorithms can then be used to examine questions related to the distribution, abundance and behaviour of these animals.

The project aims to evaluate, improve, develop and apply detection and classification methods for passive acoustic data collected from dolphins. The specific goals of the project are:

to evaluate existing methods for detecting, extracting measurements from and classifying sounds produced by dolphins in passive acoustic recordings
to explore new machine-learning methods for extracting sounds from raw data and classifying them to species
to develop and implement improved species classifiers using both the improved and existing extraction methods

View Student Posters

Project Supervisors

Dr Julie Oswald
Email: [email protected]

Prof Vincent Janik
Email: [email protected]

Dr Doug Gillespie
Email: [email protected]