Q Shi, S Deng, J Han - Applied Acoustics, 2022 - Elsevier
For acoustic event recognition (AER), it is important to extract the semantic feature that jointly considers the content information and the temporal ordering. Thus, our previous work …
Q Li, G Sovernigo, X Lin - Forensic Science International: Digital …, 2022 - Elsevier
Historically, criminal investigations hinging on recorded audio data required manual application of forensic techniques to extract relevant information. These methods usually …
SR Kothinti, M Elhilali - EURASIP Journal on Audio, Speech, and Music …, 2024 - Springer
Technologies in healthcare, smart homes, security, ecology, and entertainment all deploy audio event detection (AED) in order to detect sound events in an audio recording. Effective …
In the rapidly evolving digital era, the significance of audio applications across communication, social networking, and entertainment sectors has greatly increased. This …
Fully supervised learning, like a task similar to classifying images from ImageNet [8], can sometimes necessitate using large amounts of labeled data to generate representations …
Audio Event detection (AED) is a technology aimed at detecting and classifying sound events within an audio signal. AED plays a critical role in enabling machines to understand …
Ces dernières années, le gain d'intérêt pour la détection d'événements sonores et la réduction des coûts de l'électronique ont conduit à s' intéresser au déploiement de …