Sound Event Localization

Sound event localization and detection (SELD) aims to identify both the type and location of sounds within an audio scene, a crucial task with applications ranging from assistive technologies to environmental monitoring. Current research emphasizes improving the accuracy and efficiency of SELD systems, focusing on advanced neural network architectures like Transformers and Conformers, as well as innovative feature extraction techniques such as multi-scale feature fusion and the use of audio-visual information. These advancements are driven by the need for robust SELD models that generalize well across diverse acoustic environments and handle complex scenarios like overlapping sound events, paving the way for more sophisticated and reliable applications.