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相关论文: TASK3 DCASE2021 Challenge: Sound event localizatio…

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Sound Event Localization and Detection (SELD) is a problem related to the field of machine listening whose objective is to recognize individual sound events, detect their temporal activity, and estimate their spatial location. Thanks to the…

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

This report presents the dataset and the evaluation setup of the Sound Event Localization & Detection (SELD) task for the DCASE 2020 Challenge. The SELD task refers to the problem of trying to simultaneously classify a known set of sound…

音频与语音处理 · 电气工程与系统科学 2020-06-30 Archontis Politis , Sharath Adavanne , Tuomas Virtanen

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

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

This technical report details our systems submitted for Task 3 of the DCASE 2024 Challenge: Audio and Audiovisual Sound Event Localization and Detection (SELD) with Source Distance Estimation (SDE). We address only the audio-only SELD with…

音频与语音处理 · 电气工程与系统科学 2024-07-15 Jun Wei Yeow , Ee-Leng Tan , Jisheng Bai , Santi Peksi , Woon-Seng Gan

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,…

声音 · 计算机科学 2024-06-13 Daniel Aleksander Krause , Archontis Politis , Annamaria Mesaros

This technical report describes the systems submitted to the DCASE2022 challenge task 3: sound event localization and detection (SELD). The task aims to detect occurrences of sound events and specify their class, furthermore estimate their…

声音 · 计算机科学 2025-12-30 Jin Sob Kim , Hyun Joon Park , Wooseok Shin , Sung Won Han

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…

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

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

Joint sound event localization and detection (SELD) is an emerging audio signal processing task adding spatial dimensions to acoustic scene analysis and sound event detection. A popular approach to modeling SELD jointly is using…

声音 · 计算机科学 2021-09-28 Parthasaarathy Sudarsanam , Archontis Politis , Konstantinos Drossos

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

The understanding of the surrounding environment plays a critical role in autonomous robotic systems, such as self-driving cars. Extensive research has been carried out concerning visual perception. Yet, to obtain a more complete perception…

音频与语音处理 · 电气工程与系统科学 2021-01-13 Karim Guirguis , Christoph Schorn , Andre Guntoro , Sherif Abdulatif , Bin Yang

Sound event detection (SED) is a task to detect sound events in an audio recording. One challenge of the SED task is that many datasets such as the Detection and Classification of Acoustic Scenes and Events (DCASE) datasets are weakly…

声音 · 计算机科学 2020-08-25 Qiuqiang Kong , Yong Xu , Wenwu Wang , Mark D. Plumbley

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

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

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) 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

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
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