• Corpus ID: 239024325

Temporal separation of whale vocalizations from background oceanic noise using a power calculation

  title={Temporal separation of whale vocalizations from background oceanic noise using a power calculation},
  author={Jacques van Wyk and J. Adrian Versfeld and Johan A. du Preez},
The process of analyzing audio signals in search of cetacean vocalizations is in many cases a very arduous task, requiring many complex computations, a plethora of digital processing techniques and the scrutinization of an audio signal with a fine comb to determine where the vocalizations are located. To ease this process, a computationally efficient and noise-resistant method for determining whether an audio segment contains a potential cetacean call is developed here with the help of a robust… 

Figures and Tables from this paper


Real time automatic detection of Orcinus orca vocalizations in a controlled environment
The Orca Ocean facilities of Loro Parque in the Canary Islands, Spain, were used as an experimental platform for developing devices to perform bioacoustic studies and detection methods with low computational complexity were tested in order to capture vocalizations of four O. orca specimens in real time.
Passive acoustic detection of modulated underwater sounds from biological and anthropogenic sources
This paper describes an algorithm for the automatic detection of a particular class of underwater sounds, using a single hydrophone. It is observed that many life-forms, systems or mechanisms emit
An open access dataset for developing automated detectors of Antarctic baleen whale sounds and performance evaluation of two commonly used detectors
  • B. Miller, Brian S. Kathleen M. Ilse Danielle Flore Ana Susannah Ke Miller Stafford Van Opzeeland Harris Samaran Širov, +15 authors J. Hong
  • Medicine
    Scientific reports
  • 2021
A library of annotated recordings for the purpose of training and evaluating automated detectors of Antarctic blue and fin whale calls is presented and the performance of two automated detection algorithms that have been commonly used to detect stereotyped calls ofblue and fin whales are characterised.
Detection and Recognition of North Atlantic Right Whale Contact Calls in the Presence of Ambient Noise
In this paper, the problem of detecting and recognizing North Atlantic right whale (NARW), Eubalaena glacialis, contact calls in the presence of ambient noise is considered. A proposed solution is
Detecting breathing sounds in realistic Japanese telephone conversations and its application to automatic speech recognition
This work focuses on the robustness of breath-event detection in spontaneous speech, and leverages acoustic information that is specialized for breathing sounds, leading to a two-step approach that can detect breath events with an accuracy of 97.4%.
Statistical voice activity detection using a multiple observation likelihood ratio test
This letter presents a new voice activity detector (VAD) for improving speech detection robustness in noisy environments and the performance of speech recognition systems using an optimum likelihood ratio test (LRT) involving multiple and independent observations.
Geographically distributed acoustical monitoring of migrating birds
A geographically distributed system of largely automated acoustical monitoring stations was developed to monitor the migration of small passerine birds. The targeted species, wood warblers and
Voice activity detection based on generalized gamma distribution
Experimental results show that the proposed VAD algorithm, based on G/spl Gamma/D, outperformed the algorithms based on other statistical models.
Fuzzy precision and recall measures for audio signals segmentation
The approach presented in this paper applies fuzzy set theory to the evaluation of audio signals segmentation with high resolution and accuracy and is more accurate and able to grasp the evaluation problem in a way more similar to the Evaluation conducted by a human being.
Chapter 13 – Morphological Filtering
Publisher Summary This chapter highlights the application of some advanced morphological filters to several problems of image enhancement and feature detection. There are several motivations for