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A classification and quantification approach to generate features in soundscape ecology using neural networks
In soundscape ecology analysis, the use of acoustic features is well established and offers important baselines to ecological analyses. However, in...
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An Optimised Grid Search Based Framework for Robust Large-Scale Natural Soundscape Classification
Large-scale natural soundscapes are remarkably complex and offer invaluable insights into the biodiversity and health of ecosystems. Recent advances... -
Locate your soundscape: interacting with the acoustic environment
Although overshadowed by visual information, sound plays a central role in how people perceive an environment. The effect of a landscape is enriched...
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Effect of Street Canyon in Urban Soundscape by the Discussion of Computer Simulation
As an invisible physical element in space, sound is an important perceptual factor for people to perceive space. In the quantitative study of... -
Ears on My Back - Experiencing the Soundscape Without Hearing
This paper analyses the artistic dimensions of fine art, focusing on film and performances, and the aspects of experience by the audience of this... -
Personalising augmented soundscapes for supporting persons with dementia
The world population is aging and more and more people suffer from dementia, which makes remembering and orientation in time and space difficult....
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Form, Function and Acoustics: Productive Assets Placement and Relationship Between the Urban Soundscape Patterns and Configuration
Urban acoustics is influenced by several noise sources and propagation effects, a multitude of factors that make sound-based analysis a rather... -
An efficient low-perceptual environmental sound classification adversarial method based on GAN
By incorporating additive perturbations to real samples, adversarial examples have notably exhibited the capability to deceive deep neural networks....
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The Role of Audio in Immersive Storytelling: a Systematic Review in Cultural Heritage
Nowadays, Virtual and Augmented Reality technologies play a supportive role in many research fields. In cultural heritage, various examples are...
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Interaction with the Soundscape: Exploring Emotional Audio Generation for Improved Individual Wellbeing
Our daily interaction with the soundscape is in flux, and complex natural sound combinations have shown to have adverse implications on user... -
Identification of Tropical Dry Forest Transformation from Soundscapes Using Supervised Learning
Biodiversity loss in tropical ecosystems is advancing due to factors such as human pressure and climate change, and determining their ecological... -
Athens Urban Soundscape (ATHUS): A Dataset for Urban Soundscape Quality Recognition
Soundscape can be regarded as the auditory landscape, conceived individually or at collaborative level. This paper presents ATHUS (ATHens Urban... -
Various Active Learning Strategies Analysis in Image Labeling: Maximizing Performance with Minimum Labeled Data
The use of active learning in supervised machine learning is proposed in this study to reduce the expenses associated with labeling data. Active... -
Insights from Deep Learning in Feature Extraction for Non-supervised Multi-species Identification in Soundscapes
Biodiversity monitoring has taken a relevant role in conservation management plans, where several methodologies have been proposed to assess... -
A Study on Noise, Complexity, and Audio Aesthetics
Using computational processes to model aesthetic judgement is an important, if indispensable, endeavour when designing creative AI systems. In the... -
Multimedia datasets for anomaly detection: a review
Multimedia anomaly datasets play a crucial role in automated surveillance. They have a wide range of applications expanding from outlier objects/...
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Bird@Edge: Bird Species Recognition at the Edge
We present Bird@Edge, an Edge AI system for recognizing bird species in audio recordings to support real-time biodiversity monitoring. Bird@Edge is... -
Emotional quantification of soundscapes by learning between samples
Predicting the emotional responses of humans to soundscapes is a relatively recent field of research coming with a wide range of promising...
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Animal Hunt: AI-Based Animal Sound Recognition Application
This paper describes the development of an A.I. application for animal sound classification using pre-trained and custom-trained machine-learning... -
LifeCLEF 2024 Teaser: Challenges on Species Distribution Prediction and Identification
Building accurate knowledge of the identity, the geographic distribution and the evolution of species is essential for the sustainable development of...