Papers Sound Source Localization
“Sound Source Localization” 태그가 달린 논문 122편 · 필터 해제
Text-Queried Target Sound Event Localization
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 c…
Room Impulse Response (RIR)Sound Event Localization and DetectionSound Source LocalizationBroadband MEMS Microphone Arrays with Reduced Aperture Through 3D-Printed Waveguides
In this paper we present a passive and cost-effective method for increasing the frequency range of ultrasound MEMS microphone arrays when using beamforming techniques. By applying a 3D-printed construction that reduces t…
Sound Source LocalizationIPDnet: A Universal Direct-Path IPD Estimation Network for Sound Source Localization
Extracting direct-path spatial feature is crucial for sound source localization in adverse acoustic environments. This paper proposes the IPDnet, a neural network that estimates direct-path inter-channel phase difference…
Sound Source LocalizationSemiPL: A Semi-supervised Method for Event Sound Source Localization
In recent years, Event Sound Source Localization has been widely applied in various fields. Recent works typically relying on the contrastive learning framework show impressive performance. However, all work is based on …
Contrastive LearningManagementSelf-Supervised LearningSound Source LocalizationAudio Simulation for Sound Source Localization in Virtual Evironment
Non-line-of-sight localization in signal-deprived environments is a challenging yet pertinent problem. Acoustic methods in such predominantly indoor scenarios encounter difficulty due to the reverberant nature. In this s…
Sound Source LocalizationT-VSL: Text-Guided Visual Sound Source Localization in Mixtures
Visual sound source localization poses a significant challenge in identifying the semantic region of each sounding source within a video. Existing self-supervised and weakly supervised source localization methods struggl…
Sound Source LocalizationSound event localization and classification using WASN in Outdoor Environment
Deep learning-based sound event localization and classification is an emerging research area within wireless acoustic sensor networks. However, current methods for sound event localization and classification typically re…
ClassificationSound Source LocalizationLearning to Visually Localize Sound Sources from Mixtures without Prior Source Knowledge
The goal of the multi-sound source localization task is to localize sound sources from the mixture individually. While recent multi-sound source localization methods have shown improved performance, they face challenges …
ObjectSound Source LocalizationSpeaker Distance Estimation in Enclosures from Single-Channel Audio
Distance estimation from audio plays a crucial role in various applications, such as acoustic scene analysis, sound source localization, and room modeling. Most studies predominantly center on employing a classification …
Sound Source LocalizationEliminating Quantization Errors in Classification-Based Sound Source Localization
Sound Source Localization (SSL) involves estimating the Direction of Arrival (DOA) of sound sources. Since the DOA estimation output space is continuous, regression might be more suitable for DOA, offering higher precisi…
ClassificationQuantizationregressionSound Source LocalizationCan CLIP Help Sound Source Localization?
Large-scale pre-trained image-text models demonstrate remarkable versatility across diverse tasks, benefiting from their robust representational capabilities and effective multimodal alignment. We extend the application …
audio-visual learningContrastive LearningSound Source LocalizationResilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis
We introduce Resilient Multiple Choice Learning (rMCL), an extension of the MCL approach for conditional distribution estimation in regression settings where multiple targets may be sampled for each training input. Multi…
Density EstimationDiversityMultiple-choiceregression+1Feature Aggregation in Joint Sound Classification and Localization Neural Networks
This study addresses the application of deep learning techniques in joint sound signal classification and localization networks. Current state-of-the-art sound source localization deep learning networks lack feature aggr…
regressionSound ClassificationSound Event Localization and DetectionSound Source LocalizationAudio-Visual Instance Segmentation
In this paper, we propose a new multi-modal task, termed audio-visual instance segmentation (AVIS), which aims to simultaneously identify, segment and track individual sounding object instances in audible videos. To faci…
Instance SegmentationSegmentationSemantic SegmentationSound Source LocalizationNovel-View Acoustic Synthesis from 3D Reconstructed Rooms
We investigate the benefit of combining blind audio recordings with 3D scene information for novel-view acoustic synthesis. Given audio recordings from 2-4 microphones and the 3D geometry and material of a scene containi…
3D geometrySound Source LocalizationSound Source Localization is All about Cross-Modal Alignment
Humans can easily perceive the direction of sound sources in a visual scene, termed sound source localization. Recent studies on learning-based sound source localization have mainly explored the problem from a localizati…
Allcross-modal alignmentCross-Modal RetrievalRetrieval+1Data-driven 3D Room Geometry Inference with a Linear Loudspeaker Array and a Single Microphone
Knowing the room geometry may be very beneficial for many audio applications, including sound reproduction, acoustic scene analysis, and sound source localization. Room geometry inference (RGI) deals with the problem of …
Sound Source LocalizationAudio-Visual Spatial Integration and Recursive Attention for Robust Sound Source Localization
The objective of the sound source localization task is to enable machines to detect the location of sound-making objects within a visual scene. While the audio modality provides spatial cues to locate the sound source, e…
Sound Source LocalizationInduction Network: Audio-Visual Modality Gap-Bridging for Self-Supervised Sound Source Localization
Self-supervised sound source localization is usually challenged by the modality inconsistency. In recent studies, contrastive learning based strategies have shown promising to establish such a consistent correspondence b…
Contrastive LearningSound Source LocalizationDual input neural networks for positional sound source localization
In many signal processing applications, metadata may be advantageously used in conjunction with a high dimensional signal to produce a desired output. In the case of classical Sound Source Localization (SSL) algorithms, …
Sound Source Localization