Post date: Nov 30, 2021 6:38:44 AM
TG AltundoĞan, M KarakÖse - 2021 International Conference on Innovation and …, 2021
Visibility graphs are graphs created by making use of the relations of objects with
each other depending on their visibility features. Today, visibility graphs are used
quite frequently in signal processing applications. In this study, cracked and non-
cracked wall images taken from a dataset were classified by a deep neural network
depending on the visibility graph properties. In the proposed method, firstly,
histograms of the images are obtained. The resulting histogram is then expressed by …
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Cites: Spectral Visibility Graphs: Application to Similarity of Harmonic …
M Anderson, J Kennedy, N Harte - 2021 IEEE Workshop on Signal Processing …, 2021
This paper explores low resource classifiers and features for the detection of bird
activity, suitable for embedded Automatic Recording Units which are typically
deployed for long term remote monitoring of bird populations. Features include low-
level spectral parameters, statistical moments on pitch samples, and features derived
from amplitude modulation. Performance is evaluated on several lightweight
classifiers using the NIPS4Bplus dataset. Our experiments show that random forest …
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Cites: NIPS4Bplus: a richly annotated birdsong audio dataset
G Kim, DK Han, H Ko - IEEE Access, 2021
Sound event classification is starting to receive a lot of attention over the recent years
in the field of audio processing because of open datasets, which are recorded in
various conditions, and the introduction of challenges. To use the sound event
classification model in the wild, it is needed to be independent of recording
conditions. Therefore, a more generalized model, that can be trained and tested in
various recording conditions, must be researched. This paper presents a deep …
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Cites: Detection and classification of acoustic scenes and events
S Segarceanu, G Suciu, I Gavat - … Conference on Speech Technology and Human …, 2021
Environmental sound recognition is currently an important and valuable field of
computer science and robotics, security or environmental protection. The underlying
methodology evolved from primary speech application characteristic methods to
more specific approaches, and with the advent of the deep learning paradigm many
attempts using these methods arose. The paper reopens the research we have
started on the application of the Feed Forward Neural Networks, by exploring several …
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Cites: Detection and classification of acoustic scenes and events
SV Martínez-Ortega, M Sarria-Paja - 2021 XXIII Symposium on Image, Signal …, 2021
Colombia has the greatest diversity of birds in the world, approximately 1900
species, and therefore it is important to promote their protection and conservation.
Monitoring the vocalization of the birds allows a sampling that does not affect the
species or the habitat, helps to monitor migrations and estimate the populations
present in the determined area, in addition to strengthening different fields of
research. In the Thamnophilidae family, their vocalization is key to find differences in …
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Cites: Bird detection in audio: a survey and a challenge
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