Robust Scream Detection and Scream Temporal Interval Prediction Using CNN-Transformer and Windowing CNN

Detecting screams in noisy environments remains an important challenge in emergency detection. This work presents a new hybrid architecture combining Convolutional Neural Networks (CNN)-Transformer and Windowing CNN for simultaneous scream detection and temporal localization. The proposed system emp...

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Autors principals:	Youngjun Kim, Dalwon Jang, Seok-Pil Lee
Format:	Artigo
Idioma:	Inglês
Publicat:	IEEE 2025-01-01
Col·lecció:	IEEE Access
Matèries:	Scream detection CNN-transformer windowing CNN crime prevention
Accés en línia:	https://ieeexplore.ieee.org/document/10947026/
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