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Sound Event Detection and Localization with Distance Estimation

European Signal Processing Conference(2024)

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Abstract
Sound Event Detection and Localization (SELD) is a combined task ofidentifying sound events and their corresponding direction-of-arrival (DOA).While this task has numerous applications and has been extensively researchedin recent years, it fails to provide full information about the sound sourceposition. In this paper, we overcome this problem by extending the task toSound Event Detection, Localization with Distance Estimation (3D SELD). Westudy two ways of integrating distance estimation within the SELD core - amulti-task approach, in which the problem is tackled by a separate modeloutput, and a single-task approach obtained by extending the multi-ACCDOAmethod to include distance information. We investigate both methods for theAmbisonic and binaural versions of STARSS23: Sony-TAU Realistic SpatialSoundscapes 2023. Moreover, our study involves experiments on the loss functionrelated to the distance estimation part. Our results show that it is possibleto perform 3D SELD without any degradation of performance in sound eventdetection and DOA estimation.
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Sound event detection,sound source localization,sound distance estimation,Ambisonics,binaural recordings
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要点:本论文提出了一种扩展声音事件检测和定位任务的方法,即声音事件检测、定位和距离估计(3D SELD)。通过将距离估计纳入SELD核心进行多任务方法或单任务方法的研究,实验结果表明可以实现3D SELD而不降低声音事件检测和方向估计的性能。

方法:论文研究了通过多任务方法和单任务方法,在Ambisonic和双耳版本的STARSS23数据集上进行了实验,探讨了与距离估计部分相关的损失函数。

实验:通过对STARSS23数据集进行实验,实验结果表明可以在3D SELD任务中进行准确的声音事件检测和方向估计。