DeepAcoustics Enhances Underwater Bioacoustics Analysis

Utilizing our new artificial intelligence innovation, DeepAcoustics, we are on the forefront of marine mammal communication technology.

How DeepAcoustics is revolutionizing bioacoustics analysis

DeepAcoustics transforms marine mammal research with our groundbreaking MATLAB-based software. Evolved from DeepSqueak technology, we've engineered a powerful solution specifically optimized for underwater acoustics analysis. Our advanced machine learning algorithms detect dolphin whistles with unprecedented accuracy in noisy ocean environments, automatically extracting and categorizing whistle contours. This breakthrough enables researchers to dramatically improve both speed and precision in signal detection across diverse marine soundscapes. Experience the future of bioacoustics analysis with our open-access solution.

Dolphin whistle detection and vocalization display

Dolphin Whistle Detection and Vocalization Display

Project details and research

Origination: Exploring Dolphin Intelligence

What began as a quest for two-way acoustic communication between dolphins and humans has led to DeepAcoustics, an AI software model that detects a broad range of marine mammal call types in noisier, underwater environments. DeepAcoustics is built upon DeepSqueak, with modifications developed at Ocean Science Analytics.

In DeepAcoustics, bioacousticians and other researchers now have a research tool that allows detection of a broad range of call types, targeting calls produced by select species. In addition, DeepAcoustics can characterize tonal whistles by automatically extracting whistle contours from recordings. Contours are sorted by shape into an optimal number of whistle clusters yielding a set of discrete whistle types that characterize the repertoire produced by a group of animals.

Peter presents his latest dolphin whistle technology: DeepAcoustics, at the 2022 Society for Marine Mammalogy Conference poster session.

Automated detection and categorization of whistle contours for characterizing the repertoire of bottlenose dolphins

Authors

  • Peter Sugarman

  • Kevin R. Coffey, Ph.D.

  • Elizabeth Ferguson

  • Jennifer Pettis Schallert

  • Gabriela Alongi

  • Heidi Lyn, Ph.D.

Research team

Liz Ferguson and Peter Sugarman are longtime collaborators in the field of underwater bioacoustics and marine mammal whistle detection and classification.


Peter Sugarman portrait

Peter Sugarman

Founder and Independent Researcher, Acoustic Interactions

For more than 50 years, Peter has pursued a deep passion to establish two-way communication with dolphins. This has included many years of dolphin research, study, and technology development, and many hours spent with dolphins. In this collaborative project informed by multiple disciplines, He is joined by a team of equally passionate colleagues, friends, and social innovators from my wide array of lifelong connections.


Liz Ferguson portrait

Liz Ferguson

Founder and CEO, Ocean Science Analytics

LIz Ferguson, Founder and CEO of Ocean Science Analytics (OSA) is currently working on the development of methods for real-time dolphin whistle detection and display. This project, the “Dolphin Whistle Detection and Vocalization Display,” is being led by Dr. Heidi Lyn, University of South Alabama, and Peter Sugarman. It aims to better understand the whistle repertoire of a group of dolphins located at the Ocean Adventures facility in Gulfport, Mississippi. OSA’s role in this project relates to the software components used in detecting and displaying whistles.

Connect with us

If you’d have specific questions about our work with DeepAcoustics, are looking for a speaker on this subject, or want to explore an opportunity to collaborate, please connect with us here.