Papers Sound Event Localization and Detection
“Sound Event Localization and Detection” 태그가 달린 논문 70편 · 필터 해제
AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection
Sound event localization and detection (SELD) combines the identification of sound events with the corresponding directions of arrival (DOA). Recently, event-oriented track output formats have been adopted to solve this …
Direction of Arrival EstimationSound Event DetectionSound Event Localization and DetectionCoLoC: Conditioned Localizer and Classifier for Sound Event Localization and Detection
In this article, we describe Conditioned Localizer and Classifier (CoLoC) which is a novel solution for Sound Event Localization and Detection (SELD). The solution constitutes of two stages: the localization is done firs…
Sound Event Localization and DetectionSound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
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 …
Data AugmentationDirection of Arrival EstimationEvent DetectionRoom Impulse Response (RIR)+2Data Augmentation and Squeeze-and-Excitation Network on Multiple Dimension for Sound Event Localization and Detection in Real Scenes
Performance of sound event localization and detection (SELD) in real scenes is limited by small size of SELD dataset, due to difficulty in obtaining sufficient amount of realistic multi-channel audio data recordings with…
Data AugmentationSound Event Localization and DetectionA Synapse-Threshold Synergistic Learning Approach for Spiking Neural Networks
Spiking neural networks (SNNs) have demonstrated excellent capabilities in various intelligent scenarios. Most existing methods for training SNNs are based on the concept of synaptic plasticity; however, learning in the …
Event data classificationGesture RecognitionSound Event Localization and DetectionSTARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events
This report presents the Sony-TAu Realistic Spatial Soundscapes 2022 (STARS22) dataset for sound event localization and detection, comprised of spatial recordings of real scenes collected in various interiors of two diff…
Sound Event Localization and DetectionDual Quaternion Ambisonics Array for Six-Degree-of-Freedom Acoustic Representation
Spatial audio methods are gaining a growing interest due to the spread of immersive audio experiences and applications, such as virtual and augmented reality. For these purposes, 3D audio signals are often acquired throu…
Sound Event Localization and DetectionFiller Word Detection and Classification: A Dataset and Benchmark
Filler words such as `uh' or `um' are sounds or words people use to signal they are pausing to think. Finding and removing filler words from recordings is a common and tedious task in media editing. Automatically detecti…
ClassificationKeyword SpottingSound Event Localization and DetectionLocate This, Not That: Class-Conditioned Sound Event DOA Estimation
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 …
AllSound Event Localization and DetectionL3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment
The L3DAS22 Challenge is aimed at encouraging the development of machine learning strategies for 3D speech enhancement and 3D sound localization and detection in office-like environments. This challenge improves and exte…
Sound Event Localization and DetectionSpeech EnhancementEcho-aware Adaptation of Sound Event Localization and Detection in Unknown Environments
Our goal is to develop a sound event localization and detection (SELD) system that works robustly in unknown environments. A SELD system trained on known environment data is degraded in an unknown environment due to envi…
Domain AdaptationSound Event Localization and DetectionWearable SELD dataset: Dataset for sound event localization and detection using wearable devices around head
Sound event localization and detection (SELD) is a combined task of identifying the sound event and its direction. Deep neural networks (DNNs) are utilized to associate them with the sound signals observed by a microphon…
Sound Event Localization and DetectionSALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays
Polyphonic sound event localization and detection (SELD) has many practical applications in acoustic sensing and monitoring. However, the development of real-time SELD has been limited by the demanding computational requ…
Sound Event Localization and DetectionMulti-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training
Sound event localization and detection (SELD) involves identifying the direction-of-arrival (DOA) and the event class. The SELD methods with a class-wise output format make the model predict activities of all sound event…
Sound Event Localization and DetectionSpatial mixup: Directional loudness modification as data augmentation for sound event localization and detection
Data augmentation methods have shown great importance in diverse supervised learning problems where labeled data is scarce or costly to obtain. For sound event localization and detection (SELD) tasks several augmentation…
Data AugmentationSound Event Localization and DetectionSALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection
Sound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation. While sound event detection mainly relies on time-frequency patterns to disting…
Direction of Arrival EstimationEvent DetectionSound Event DetectionSound Event Localization and DetectionTASK3 DCASE2021 Challenge: Sound event localization and detection using squeeze-excitation residual CNNs
Sound event localisation and detection (SELD) is a problem in the field of automatic listening that aims at the temporal detection and localisation (direction of arrival estimation) of sound events within an audio clip, …
Direction of Arrival EstimationSound Event Localization and DetectionWhat Makes Sound Event Localization and Detection Difficult? Insights from Error Analysis
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 tas…
Direction of Arrival EstimationEvent DetectionSound Event DetectionSound Event Localization and DetectionDCASE 2021 Task 3: Spectrotemporally-aligned Features for Polyphonic Sound Event Localization and Detection
Sound event localization and detection consists of two subtasks which are sound event detection and direction-of-arrival estimation. While sound event detection mainly relies on time-frequency patterns to distinguish dif…
Audio ClassificationDirection of Arrival EstimationEvent DetectionSound Event Detection+1Mobile Microphone Array Speech Detection and Localization in Diverse Everyday Environments
Joint sound event localization and detection (SELD) is an integral part of developing context awareness into communication interfaces of mobile robots, smartphones, and home assistants. For example, an automatic audio fo…
Sound Event Localization and Detection