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Direction of Arrival Estimation
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Estimating the direction-of-arrival (DOA) of a sound source from multi-channel recordings.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/amitaybar/interference-rejection-using-riemannian-geometry-for-doa-estimation
공식 코드On Interference-Rejection Using Riemannian Geometry for Direction of Arrival Estimation
https://github.com/dance858/T-Rex-EM
공식 코드T-Rex: Fitting a Robust Factor Model via Expectation-Maximization
https://github.com/daviddiazguerra/icocnn
공식 코드Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
https://github.com/daviddiazguerra/icodoa
공식 코드Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs
https://github.com/dberghi/seld-distance-features
공식 코드Reverberation-based Features for Sound Event Localization and Detection with Distance Estimation
https://github.com/fakufaku/doamm
공식 코드https://github.com/jinbo-hu/dcase2022-task3
공식 코드https://github.com/jinbo-hu/pseldnets
공식 코드https://github.com/jinbo-hu/seld-data-generator
공식 코드https://github.com/meuseabe/VshapedSparseArray
공식 코드https://github.com/sadPororo/AD-YOLO
공식 코드AD-YOLO: You Look Only Once in Training Multiple Sound Event Localization and Detection
https://github.com/sharathadavanne/doa-net
공식 코드Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers
https://github.com/sharathadavanne/hungarian-net
공식 코드Differentiable Tracking-Based Training of Deep Learning Sound Source Localizers
https://github.com/thomasdeppisch/srir-subspace-decomposition
공식 코드Direct and Residual Subspace Decomposition of Spatial Room Impulse Responses
https://github.com/thomeou/SALSA
공식 코드https://github.com/youvalklioui/cadmmnet
공식 코드https://github.com/youvalklioui/thadmmnet
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.