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相关论文: Sound Event Detection and Localization with Distan…

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In traditional sound event localization and detection (SELD) tasks, the focus is typically on sound event detection (SED) and direction-of-arrival (DOA) estimation, but they fall short of providing full spatial information about the sound…

声音 · 计算机科学 2025-01-22 Yuxuan Dong , Qing Wang , Hengyi Hong , Ya Jiang , Shi Cheng

Sound event localization and detection (SELD) involves predicting active sound event classes over time while estimating their positions. The localization subtask in SELD is usually treated as a direction of arrival estimation problem,…

音频与语音处理 · 电气工程与系统科学 2026-04-21 Davide Berghi , Philip J. B. Jackson

This technical report presents our submission to Task 3 of the DCASE 2025 Challenge: Stereo Sound Event Localization and Detection (SELD) in Regular Video Content. We address the audio-only task in this report and introduce several key…

音频与语音处理 · 电气工程与系统科学 2025-07-02 Jun-Wei Yeow , Ee-Leng Tan , Santi Peksi , Woon-Seng Gan

Sound Event Localization and Detection (SELD) combines the Sound Event Detection (SED) with the corresponding Direction Of Arrival (DOA). Recently, adopted event oriented multi-track methods affect the generality in polyphonic environments…

声音 · 计算机科学 2026-02-02 Xueping Zhang , Yaxiong Chen , Ruilin Yao , Yunfei Zi , Shengwu Xiong

This paper presents the objective, dataset, baseline, and metrics of Task 3 of the DCASE2025 Challenge on sound event localization and detection (SELD). In previous editions, the challenge used four-channel audio formats of first-order…

While direction of arrival (DOA) of sound events is generally estimated from multichannel audio data recorded in a microphone array, sound events usually derive from visually perceptible source objects, e.g., sounds of footsteps come from…

Sound Event Localization and Detection (SELD) is crucial in spatial audio processing, enabling systems to detect sound events and estimate their 3D directions. Existing SELD methods use single- or dual-branch architectures: single-branch…

声音 · 计算机科学 2025-07-31 Hogeon Yu

Sound event localization and detection (SELD) is a joint task of sound event detection and direction-of-arrival estimation. In DCASE 2022 Task 3, types of data transform from computationally generated spatial recordings to recordings of…

音频与语音处理 · 电气工程与系统科学 2022-09-12 Jinbo Hu , Yin Cao , Ming Wu , Qiuqiang Kong , Feiran Yang , Mark D. Plumbley , Jun Yang

Sound event localization and detection (SELD) is an emerging research topic that aims to unify the tasks of sound event detection and direction-of-arrival estimation. As a result, SELD inherits the challenges of both tasks, such as noise,…

音频与语音处理 · 电气工程与系统科学 2021-10-28 Thi Ngoc Tho Nguyen , Karn N. Watcharasupat , Zhen Jian Lee , Ngoc Khanh Nguyen , Douglas L. Jones , Woon Seng Gan

Sound event localization and detection (SELD) systems estimate both the direction-of-arrival (DOA) and class of sound sources over time. In the DCASE 2022 SELD Challenge (Task 3), models are designed to operate in a 4-channel setting. While…

Sound event localization and detection (SELD) aims to determine the appearance of sound classes, together with their Direction of Arrival (DOA). However, current SELD systems can only predict the activities of specific classes, for example,…

音频与语音处理 · 电气工程与系统科学 2024-06-25 Jinzheng Zhao , Xinyuan Qian , Yong Xu , Haohe Liu , Yin Cao , Davide Berghi , Wenwu Wang

In this paper, we describe our method for DCASE2019 task3: Sound Event Localization and Detection (SELD). We use four CRNN SELDnet-like single output models which run in a consecutive manner to recover all possible information of occurring…

音频与语音处理 · 电气工程与系统科学 2019-10-31 Sławomir Kapka , Mateusz Lewandowski

Sound Event Detection and Localization (SELD) constitutes a complex task that depends on extensive multichannel audio recordings with annotated sound events and their respective locations. In this paper, we introduce a self-supervised…

音频与语音处理 · 电气工程与系统科学 2024-01-02 Orlem Lima dos Santos , Karen Rosero , Roberto de Alencar Lotufo

This paper presents the sound event localization and detection (SELD) task setup for the DCASE 2019 challenge. The goal of the SELD task is to detect the temporal activities of a known set of sound event classes, and further localize them…

声音 · 计算机科学 2019-05-27 Sharath Adavanne , Archontis Politis , Tuomas Virtanen

Sound event localization and detection (SELD) is critical for various real-world applications, including smart monitoring and Internet of Things (IoT) systems. Although deep neural networks (DNNs) represent the state-of-the-art approach for…

信号处理 · 电气工程与系统科学 2024-09-19 Jun Wei Yeow , Ee-Leng Tan , Jisheng Bai , Santi Peksi , Woon-Seng Gan

Our systems submitted to the DCASE2020 task~3: Sound Event Localization and Detection (SELD) are described in this report. We consider two systems: a single-stage system that solve sound event localization~(SEL) and sound event…

音频与语音处理 · 电气工程与系统科学 2020-10-09 Kazuki Shimada , Naoya Takahashi , Shusuke Takahashi , Yuki Mitsufuji

This technical report outlines our approach to Task 3A of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2024, focusing on Sound Event Localization and Detection (SELD). SELD provides valuable insights by estimating…

声音 · 计算机科学 2025-07-25 Quoc Thinh Vo , David Han

In this study, we address the multimodal task of stereo sound event localization and detection with source distance estimation (3D SELD) in regular video content. 3D SELD is a complex task that combines temporal event classification with…

音频与语音处理 · 电气工程与系统科学 2025-09-09 Davide Berghi , Philip J. B. Jackson

This report presents our systems submitted to the audio-only and audio-visual tracks of the DCASE2025 Task 3 Challenge: Stereo Sound Event Localization and Detection (SELD) in Regular Video Content. SELD is a complex task that combines…

音频与语音处理 · 电气工程与系统科学 2025-07-08 Davide Berghi , Philip J. B. Jackson

Existing systems for sound event localization and detection (SELD) typically operate by estimating a source location for all classes at every time instant. In this paper, we propose an alternative class-conditioned SELD model for situations…

音频与语音处理 · 电气工程与系统科学 2022-03-09 Olga Slizovskaia , Gordon Wichern , Zhong-Qiu Wang , Jonathan Le Roux
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