• Corpus ID: 202542656

Automatic detection of estuarine dolphin whistles in spectrogram images

@article{Serra2019AutomaticDO,
  title={Automatic detection of estuarine dolphin whistles in spectrogram images},
  author={O. M. Serra and F. P. R. Martins and Linilson Rodrigues Padovese},
  journal={ArXiv},
  year={2019},
  volume={abs/1909.04425}
}
An algorithm for detecting tonal vocalizations from estuarine dolphin (Sotalia guianensis) specimens without interference of a human operator is developed. The raw audio data collected from a passive monitoring sensor in the Cananeia underwater soundscape is converted to spectrogram images, containing the desired acoustic event (whistle) as a linear pattern in the images. Detection is a four-step method: first, ridge maps are obtained from the spectrogram images; second, a probabilistic Hough… 
View PDF on arXiv
1 Citations

Figures and Tables from this paper

One Citation

Dolphin Whistle Visualization Framework: MySQL Query Approach
This study proposes a visualization framework for bottlenose dolphin (Tursiops truncatus) whistle classification using statistical signal properties such as slope, standard deviation, kurtosis,…

References

SHOWING 1-10 OF 33 REFERENCES
An image processing based paradigm for the extraction of tonal sounds in cetacean communications.
TLDR
IPRiT appears to be superior to silbido for the extraction of the precise frequency variation of the whistle, which is based on peak or edge detection or require analyst assistance in verifying detections.
Detection and classification of right whale calls using an 'edge' detector operating on a smoothed spectrogram
TLDR
The detection system is capable of picking out a high proportion of right whale calls logged by a human operator, while at the same time working at a false alarm rate of only one or two calls per day, even in the presence of background noise from humpback whales and seismic exploration.
Bottlenose Dolphin Whistle Categorization Using Eigenwhistle Based Approach
Dolphins produce a wide variety of whistles that vary their contour shapes in terms of frequency band and spatial length. Characterization of whistles is based on the premise that dolphins share a…
Automatic classification of whistles from coastal dolphins of the southern African subregion.
TLDR
This study examines whether the whistles of three coastal delphinid species commonly encountered in the southern African subregion can be readily distinguished using both statistical analysis of standard whistle parameters and the automated detection and classification software PAMGuard.
Using local binary patterns as features for classification of dolphin calls.
TLDR
Preliminary experimental results illustrate that the LBP method produces more consistent classifier accuracy of dolphin whistle calls even when the contour shapes are complex and populated with impulsive clicks and anthropogenic harmonics.
Identification and Characteristics of Signature Whistles in Wild Bottlenose Dolphins (Tursiops truncatus) from Namibia
TLDR
This is the first study describing signature whistles in a wild free-ranging T. truncatus population inhabiting African waters and it provides a baseline on which more in depth behavioural studies can be based.
Automatic fish sounds classification.
TLDR
The proposed classification scheme is tested on real fish sounds recorded on several areas, and achieves 96.9% correct classification compared to 72.5% when using reference state of the art features as descriptors, illustrating that it can be used to both detect and classify fish sounds in operational scenarios.
The behavioral context of common dolphin (Delphinus sp.) vocalizations
TLDR
Behavior and vocalization patterns suggest nocturnal foraging in offshore waters as the primary feeding strategy and surface behavior can be classified using vocalization data, which builds the framework for behavioral studies of common dolphins using passive acoustic monitoring techniques.
Differences in the whistle characteristics and repertoire of Bottlenose and Spinner Dolphins.
TLDR
Different facts may explain differences in describing dolphin whistles, such as a greater fluidity of Spinner Dolphin groups when compared to Bottlenose Dolphin groups, greater geographic variation in the whistles ofBottlenose Dolphins than in those ofspinner Dolphins, and stricter criteria used to define whistle contour categories in the study ofSpinner Dolphin whistles than in the BottlenOSE Dolphin whistle study.
Dolphin Detection and Tracking
Detecting and tracking social marine mammals, including bottlenose dolphins, can help to explain their social dynamics, predict their behavior, and measure the impact of human interference.…
...
...