Spatial Annotation-Free Sound Event Localization and Detection via Spatial Instance Classification

Sound Event Localization and Detection (SELD) typically relies on strongly labeled data that specify when, where, and which sounds occur, resulting in high annotation costs. To address this challenge, we present a framework that enables SELD training without spatial labels, termed spatial annotation...

Deskribapen osoa

Xehetasun bibliografikoak

Egile Nagusiak:	Masahiro Yasuda, Noboru Harada, Shoichiro Saito, Nobutaka Ono
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	IEEE 2025-01-01
Saila:	IEEE Access
Gaiak:	Sound event localization and detection DOA estimation weakly-supervised learning multiple instance learning beamforming
Sarrera elektronikoa:	https://ieeexplore.ieee.org/document/11162519/
Etiketak:	Etiketa erantsi Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!