Proceedings of the LOCATA Challenge Workshop -- a satellite event of IWAENC 2018
원문 초록
Algorithms for acoustic source localization and tracking provide estimates of the positional information about active sound sources in acoustic environments and are essential for a wide range of applications such as personal assistants, smart homes, tele-conferencing systems, hearing aids, or autonomous systems. The aim of the IEEE-AASP Challenge on sound source localization and tracking (LOCATA) was to objectively benchmark state-of-the-art localization and tracking algorithms using an open-access data corpus of recordings for scenarios typically encountered in audio and acoustic signal processing applications. The challenge tasks ranged from the localization of a single source with a static microphone array to the tracking of multiple moving sources with a moving microphone array.
함께 살펴볼 논문
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Hearing and Seeing Through CLIP: A Framework for Self-Supervised Sound Source Localization
Sound2Vision: Generating Diverse Visuals from Audio through Cross-Modal Latent Alignment
A Critical Assessment of Visual Sound Source Localization Models Including Negative Audio
Enhancing Sound Source Localization via False Negative Elimination
wav2pos: Sound Source Localization using Masked Autoencoders
Aligning Sight and Sound: Advanced Sound Source Localization Through Audio-Visual Alignment
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