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Sound Event Detection and Localization with Distance Estimation

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arxiv 2403.11827 v2 pith:GOF6WYGQ submitted 2024-03-18 cs.SD cs.LGeess.AS

Daniel Aleksander Krause , Archontis Politis , Annamaria Mesaros This is my paper
classification cs.SDcs.LGeess.AS
keywords sounddistanceestimationdetectioneventseldlocalizationtask
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Sound Event Detection and Localization (SELD) is a combined task of identifying sound events and their corresponding direction-of-arrival (DOA). While this task has numerous applications and has been extensively researched in recent years, it fails to provide full information about the sound source position. In this paper, we overcome this problem by extending the task to Sound Event Detection, Localization with Distance Estimation (3D SELD). We study two ways of integrating distance estimation within the SELD core - a multi-task approach, in which the problem is tackled by a separate model output, and a single-task approach obtained by extending the multi-ACCDOA method to include distance information. We investigate both methods for the Ambisonic and binaural versions of STARSS23: Sony-TAU Realistic Spatial Soundscapes 2023. Moreover, our study involves experiments on the loss function related to the distance estimation part. Our results show that it is possible to perform 3D SELD without any degradation of performance in sound event detection and DOA estimation.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Improving Stereo 3D Sound Event Localization and Detection: Perceptual Features, Stereo-specific Data Augmentation, and Distance Normalization

    eess.AS 2025-07 conditional novelty 5.0 of 10

    A CRNN with mid-side intensity, spatial coherence, stereo channel swapping, FilterAugment, frequency shifting, and distance normalization improves stereo 3D SELD on STARSS23.

  2. Resnet-conformer network with shared weights and attention mechanism for sound event localization, detection, and distance estimation

    cs.SD 2025-07 conditional novelty 4.0 of 10

    A ResNet-Conformer network with shared weights and multi-scale attention, trained on synthetic and augmented real audio, improves detection and direction estimation over the DCASE 2024 baseline while distance error st...

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