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Thesis Defence: Marine Mammal Sounds Classification by Deep Learning

December 20, 2023 at 8:30 am - 1:30 pm

About WordPress My Sites UBC Okanagan Events Calendar 00 Comments in moderation New View Event Events Howdy, Helena MerrellLog Out Screen Options Edit Event Add New Add title Thesis Defence: Marine Mammal Sounds Classification by Deep Learning Permalink: https://events.ok.ubc.ca/event/thesis-defence-m…by-deep-learning/ ‎Edit Move upMove downToggle panel: How to Add an Event Add MediaVisualText Paragraph Formats Word count: 213 Last edited by Alicia Meehan on November 27, 2023 at 10:41 am Move upMove downToggle panel: Publish Preview(opens in a new tab) Status: Pending Review EditEdit status Visibility: Public EditEdit visibility Publish immediately EditEdit date and time Enable public preview SEO: Not available Readability: OK Duplicate Move to Trash Move upMove downToggle panel: Event Categories All Event Categories Most Used Co-op Education College of Graduate Studies(Primary Event Category)Primary Deputy Vice-Chancellor and Principal, Office of the Development and Alumni Engagement Alumni Development Equity and Inclusion Office Faculty of Creative and Critical Studies Art Gallery Faculty of Health and Social Development School of Health and Exercise Sciences School of Nursing School of Social Work Faculty of Management Finance and Operations, Office of the Associate Vice-President Business Operations Bookstore Conferences and Accommodations Food Services Parking Services Student Housing Campus Operations and Risk Management Campus Mail Campus Security Facilities Management Health, Safety and Environment Campus Planning and Development Campus Planning Sustainability Office Finance Infrastructure Development Facilities Planning Project Services Integrated Renewal Program (Okanagan) UBC IT Okanagan UBC Studios Okanagan Human Resources Health and Wellbeing Learning and Engagement Working at UBC Irving K. 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Beiliang Zhao, supervised by Dr. Julian Cheng, will defend their [hesis titled “Marine Mammal Sounds Classification by Deep Learning” in partial fulfillment of the requirements for the degree of Master of Applied Science in Electrical Engineering.

An abstract for Beiliang Zhao’s thesis is included below.

Defences are open to all members of the campus community as well as the general public. Please email julian.cheng@ubc.ca to receive the Zoom link for this defence.


Monitoring marine mammals through vocalizations provides scientists with essential insights into their abundance and distribution. Systems that classify these vocalizations enable precise surveillance of specific species, thereby playing a crucial role in the protection efforts for endangered species. However, current solutions based on traditional machine learning technologies face challenges in classifying a diverse range of marine mammal sounds with high accuracy. This study aims to improve classification accuracy for marine mammal vocalizations by refining the feature vectors from sounds, deploying advanced deep-learning techniques, and comparing the performance of various deep-learning models. Furthermore, this research utilizes the generalization capability of deep-learning models to process fresh acoustic data from different sources or additional species with high accuracy. The advancements proposed in this study offer a marked improvement in marine mammal surveillance, allowing for more precise species identification based on their vocal patterns.


December 20, 2023
8:30 am - 1:30 pm

Additional Info

Registration/RSVP Required
Yes (see event description)
Event Type
Thesis Defence
Research and Innovation, Science, Technology and Engineering
Alumni, Community, Faculty, Staff, Families, Partners and Industry, Students, Postdoctoral Fellows and Research Associates