Acoustic scene classification based on three-dimensional multi-channel feature-correlated deep learning networks
Y Qu, X Li, Z Qin, Q Lu - Scientific Reports, 2022 - nature.com
As an effective approach to perceive environments, acoustic scene classification (ASC) has
received considerable attention in the past few years. Generally, ASC is deemed a …
received considerable attention in the past few years. Generally, ASC is deemed a …
Soft-output signal detection for cetacean vocalizations using spectral entropy, k-means clustering and the continuous wavelet transform
Underwater passive acoustic monitoring systems record many hours of audio data for
marine research, making fast and reliable non-causal signal detection paramount. Such …
marine research, making fast and reliable non-causal signal detection paramount. Such …
Detection of baleen whale species using kernel dynamic mode decomposition-based feature extraction with a hidden Markov model
The negative effects of human activities within the ecological space of whales remains an
issue of concern to marine ecologists. The accurate detection and subsequent classification …
issue of concern to marine ecologists. The accurate detection and subsequent classification …
Convolutional neural networks for the identification of African lions from individual vocalizations
The classification of vocal individuality for passive acoustic monitoring (PAM) and census of
animals is becoming an increasingly popular area of research. Nearly all studies in this field …
animals is becoming an increasingly popular area of research. Nearly all studies in this field …
[HTML][HTML] Wavelet-based feature extraction with hidden Markov model classification of Antarctic blue whale sounds
An approach for analyzing blue whale vocalizations in continuous acoustic recordings using
wavelet transform (WT) algorithm as a feature extraction method is proposed in this study …
wavelet transform (WT) algorithm as a feature extraction method is proposed in this study …
[HTML][HTML] Principal components-based hidden Markov model for automatic detection of whale vocalisations
Over the years, researchers have continued to put forward solutions to lessen the threats
faced by whales within their ecosystem. The correct detection of the different species of …
faced by whales within their ecosystem. The correct detection of the different species of …
[HTML][HTML] Credit Card Fraud: Analysis of Feature Extraction Techniques for Ensemble Hidden Markov Model Prediction Approach
In the face of escalating credit card fraud due to the surge in e-commerce activities,
effectively distinguishing between legitimate and fraudulent transactions has become …
effectively distinguishing between legitimate and fraudulent transactions has become …
A parallel classification model for marine mammal sounds based on multi-dimensional feature extraction and data augmentation
W Cai, J Zhu, M Zhang, Y Yang - Sensors, 2022 - mdpi.com
Due to the poor visibility of the deep-sea environment, acoustic signals are often collected
and analyzed to explore the behavior of marine species. With the progress of underwater …
and analyzed to explore the behavior of marine species. With the progress of underwater …
Hidden Markov models for detection of Mysticetes vocalisations based on principal component analysis
The economic relevance of Mysticetes has prompted marine ecologists and biologists to
investigate this suborder of cetaceans. Mysticetes produce distinct vocal repertoires, which …
investigate this suborder of cetaceans. Mysticetes produce distinct vocal repertoires, which …
[HTML][HTML] Linear discriminant analysis based hidden Markov model for detection of Mysticetes' vocalisations
Mysticetes' produce distinctive vocalisations which are used for echolocation,
communication, and other marine functions. These cryptic vocalisations are studied by …
communication, and other marine functions. These cryptic vocalisations are studied by …