Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Methods of Classification and Identification01:28

Methods of Classification and Identification

1.8K
Bacterial identification relies on a diverse array of techniques to classify and understand microorganisms, each tailored to uncover specific characteristics. Traditional morphological approaches, while still valuable, are limited for closely related or structurally simple organisms. Modern methods integrate biochemical, serological, genetic, and advanced molecular tools to achieve greater accuracy.Morphological and Biochemical TechniquesMorphological characteristics, such as cell shape and...
1.8K
Classification of Signals01:30

Classification of Signals

1.6K
In signal processing, signals are classified based on various characteristics: continuous-time versus discrete-time, periodic versus aperiodic, analog versus digital, and causal versus noncausal. Each category highlights distinct properties crucial for understanding and manipulating signals.
A continuous-time signal holds a value at every instant in time, representing information seamlessly. In contrast, a discrete-time signal holds values only at specific moments, often denoted as x(n), where...
1.6K
Force Classification01:22

Force Classification

2.6K
Forces play a crucial role in the study of physics and engineering. They are essential in describing the motion, behavior, and equilibrium of objects in the physical world. Forces can be classified based on their origin, type, and direction of action.
Contact and non-contact forces are two of the most widely used categories of forces. As the name suggests, contact forces require physical contact between two objects to act upon each other. Examples of contact forces include frictional,...
2.6K
Classification of Systems-I01:26

Classification of Systems-I

668
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
668

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Publisher Correction: Classical analogue to driven quantum bits based on macroscopic pendula.

Scientific reports·2023
Same author

Classical analogue to driven quantum bits based on macroscopic pendula.

Scientific reports·2023
Same author

Quality of life and metabolic outcomes after total pancreatectomy and simultaneous islet autotransplantation.

Communications medicine·2022
Same author

Surgical and endovascular revascularization of chronic mesenteric ischemia.

Langenbeck's archives of surgery·2022
Same author

[Correction: Open thoracic and thoracoabdominal aortic repair vs. f/bTEVAR - complementary or competitive?]

Zentralblatt fur Chirurgie·2021
Same author

[Open thoracic and thoracoabdominal aortic repair vs. f/bTEVAR - complementary or competitive?]

Zentralblatt fur Chirurgie·2021

Related Experiment Video

Updated: Mar 29, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.2K

Automatic Classification of Marine Mammals with Speaker Classification Methods.

Roman Kreimeyer1, Stefan Ludwig2

  • 1Digital Signal Processing and System Theory (DSS), Kiel University, Kaiserstrasse 2, Kiel, 24143, Germany. rok@tf.uni-kiel.de.

Advances in Experimental Medicine and Biology
|November 28, 2015
PubMed
Summary

We developed an automatic acoustic classifier for marine mammals, adapting human speech recognition techniques. This tool aids passive acoustic monitoring (PAM) for sonar operators, enhancing marine mammal protection during naval exercises.

Keywords:
ClassificationDetectionMarine mammal databasePassive acoustic monitoring

More Related Videos

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.1K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

973

Related Experiment Videos

Last Updated: Mar 29, 2026

Asthma Detection Research Based on Voice Signal Processing and Machine Learning
04:04

Asthma Detection Research Based on Voice Signal Processing and Machine Learning

Published on: July 22, 2025

1.2K
Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception
05:48

Author Spotlight: Investigating the Impact of Emotional Prosodies on Voice Recognition and Perception

Published on: August 9, 2024

2.1K
Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody
09:09

Foreign Accent and Forensic Speaker Identification in Voice Lineups: The Influence of Acoustic Features Based on Prosody

Published on: September 27, 2024

973

Area of Science:

  • Marine biology
  • Bioacoustics
  • Signal processing
  • Underwater acoustics

Background:

  • Passive acoustic monitoring (PAM) is crucial for marine mammal detection.
  • Existing methods may require significant human effort for analysis.
  • Risk mitigation for marine mammals during sonar operations is a key concern.

Purpose of the Study:

  • To develop an automatic acoustic classifier for marine mammals.
  • To adapt human speaker classification methods for marine mammal vocalizations.
  • To support the Protection of Marine Mammals (PoMM) project by providing reliable classification results.

Main Methods:

  • Utilized human speaker classification algorithms.
  • Applied these methods to marine mammal acoustic data.
  • Integrated the classifier into a passive acoustic monitoring (PAM) tool.

Main Results:

  • Successfully developed an automatic acoustic classifier for marine mammals.
  • Demonstrated the potential of adapting human speech processing techniques for bioacoustic analysis.
  • The classifier provides reliable results to aid sonar operators.

Conclusions:

  • Automatic acoustic classification is feasible for marine mammals using adapted human speaker methods.
  • This technology can significantly enhance marine mammal protection during naval activities.
  • The developed tool supports risk mitigation efforts in sonar operations.