Audio event-relational graph representation learning for acoustic scene classification
Most deep learning-based acoustic scene classification (ASC) approaches identify scenes
based on acoustic features converted from audio clips containing mixed information …
based on acoustic features converted from audio clips containing mixed information …
Automating urban soundscape enhancements with AI: In-situ assessment of quality and restorativeness in traffic-exposed residential areas
Formalized in ISO 12913, the “soundscape” approach is a paradigmatic shift towards
perception-based urban sound management, aiming to alleviate the substantial …
perception-based urban sound management, aiming to alleviate the substantial …
Multi-level graph learning for audio event classification and human-perceived annoyance rating prediction
WHO's report on environmental noise estimates that 22 M people suffer from chronic
annoyance related to noise caused by audio events (AEs) from various sources. Annoyance …
annoyance related to noise caused by audio events (AEs) from various sources. Annoyance …
Automatic Prediction of Disturbance Caused by Inter-floor Sound Events
S Ntalampiras, A Scalambrino - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
There is a direct correlation between noise and human health, while negative
consequences may vary from sleep disruption and stress to hearing loss and reduced …
consequences may vary from sleep disruption and stress to hearing loss and reduced …
Soundscape Captioning using Sound Affective Quality Network and Large Language Model
We live in a rich and varied acoustic world, which is experienced by individuals or
communities as a soundscape. Computational auditory scene analysis, disentangling …
communities as a soundscape. Computational auditory scene analysis, disentangling …
Automatic re-labeling of Google AudioSet for improved quality of learned features and pre-training
T Grzywalski, D Botteldooren - 2024 Signal Processing …, 2024 - ieeexplore.ieee.org
AudioSet, comprising over 2 million human-labeled sound clips, remains one of the biggest
and most versatile publicly available audio events datasets. Deep neural networks trained …
and most versatile publicly available audio events datasets. Deep neural networks trained …