Harnessing the power of machine learning algorithms for the detection of marine mammal species in large acoustic datasets
Lead Research Organisation:
University of St Andrews
Department Name: Biology
Abstract
This project will focus on developing a framework for efficient detection of cetaceans from long-term acoustic datasets by designing deep learning algorithms to characterize the underwater soundscape and to detect and classify marine mammal vocalisations.
Organisations
People |
ORCID iD |
Luke Rendell (Primary Supervisor) | |
Laia Garrobé Fonollosa (Student) |
Studentship Projects
Project Reference | Relationship | Related To | Start | End | Student Name |
---|---|---|---|---|---|
NE/S007342/1 | 01/10/2019 | 30/09/2027 | |||
2792769 | Studentship | NE/S007342/1 | 03/10/2022 | 31/03/2026 | Laia Garrobé Fonollosa |