A First Step Towards Understanding Sperm Whale Communication and Behavior
We present two tools for annotating and preparing animal audio and movement data for downstream modeling tasks. We present a modification of VisionTransformer which detects and classifies animal communication into an annotated format. We give a visualization tool to create estimates for animal movem...
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Massachusetts Institute of Technology
2022
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ftmit:oai:dspace.mit.edu:1721.1/145038 2023-06-11T04:17:07+02:00 A First Step Towards Understanding Sperm Whale Communication and Behavior Jacobson-Schulte, Finnian Andreas, Jacob Torralba, Antonio Rus, Daniela Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science 2022-05-27T16:19:07.473Z application/pdf https://hdl.handle.net/1721.1/145038 unknown Massachusetts Institute of Technology https://hdl.handle.net/1721.1/145038 In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ Thesis 2022 ftmit 2023-05-29T08:50:33Z We present two tools for annotating and preparing animal audio and movement data for downstream modeling tasks. We present a modification of VisionTransformer which detects and classifies animal communication into an annotated format. We give a visualization tool to create estimates for animal movement patterns and a platform for experts to assign behavioral labels to time periods. As a use case example, we show experiments training a factored Hidden Markov Model to discover patterns in the animal communication, both across the entire dataset of communication, and also split across different dominant behavior patterns. In this work each section uses sperm whales as the species of focus, however the work is easily adaptable and applicable to any species that we can collect audio or movement data for. M.Eng. Thesis Sperm whale DSpace@MIT (Massachusetts Institute of Technology) |
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description |
We present two tools for annotating and preparing animal audio and movement data for downstream modeling tasks. We present a modification of VisionTransformer which detects and classifies animal communication into an annotated format. We give a visualization tool to create estimates for animal movement patterns and a platform for experts to assign behavioral labels to time periods. As a use case example, we show experiments training a factored Hidden Markov Model to discover patterns in the animal communication, both across the entire dataset of communication, and also split across different dominant behavior patterns. In this work each section uses sperm whales as the species of focus, however the work is easily adaptable and applicable to any species that we can collect audio or movement data for. M.Eng. |
author2 |
Andreas, Jacob Torralba, Antonio Rus, Daniela Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
format |
Thesis |
author |
Jacobson-Schulte, Finnian |
spellingShingle |
Jacobson-Schulte, Finnian A First Step Towards Understanding Sperm Whale Communication and Behavior |
author_facet |
Jacobson-Schulte, Finnian |
author_sort |
Jacobson-Schulte, Finnian |
title |
A First Step Towards Understanding Sperm Whale Communication and Behavior |
title_short |
A First Step Towards Understanding Sperm Whale Communication and Behavior |
title_full |
A First Step Towards Understanding Sperm Whale Communication and Behavior |
title_fullStr |
A First Step Towards Understanding Sperm Whale Communication and Behavior |
title_full_unstemmed |
A First Step Towards Understanding Sperm Whale Communication and Behavior |
title_sort |
first step towards understanding sperm whale communication and behavior |
publisher |
Massachusetts Institute of Technology |
publishDate |
2022 |
url |
https://hdl.handle.net/1721.1/145038 |
genre |
Sperm whale |
genre_facet |
Sperm whale |
op_relation |
https://hdl.handle.net/1721.1/145038 |
op_rights |
In Copyright - Educational Use Permitted Copyright MIT http://rightsstatements.org/page/InC-EDU/1.0/ |
_version_ |
1768375947630739456 |