Opens in a new tab

Author

Spatial Covariant Matrix based Learning for DOA Estimation in Spherical Harmonics Domain

Authors: Yuan, Zeyu; Gao, Shan; Wu, Xihong; Qu, Tianshu
Affiliation: Peking University; Peking University; Key Laboratory on Machine Perception (Ministry of Education), Speech and Hearing Research Center, Peking University, Beijing, China; Key Laboratory on Machine Perception (Ministry of Education), Speech and Hearing Research Center, Peking University, Beijing, China
Publication Date: June 2024
Type: Convention Paper
Cost: Free to AES members & institutions and $33 to non-members

Higher order ambisonics compression method based on autoencoder

Authors: Qu, Tianshu; Xu, Jiahao; Yuan, Zeyu; Wu; Xihong
Affiliation: Peking University, Beijing, China; Peking University, Beijing, China; Peking University, Beijing, China; Peking University, Beijing, China
Publication Date: October 2022
Type: Express Paper
Cost: Free to AES members & institutions and $33 to non-members

Joint Estimation of Sound Source Position and Room Boundaries Using a Multitask Deep Neural Network Model

Authors: Gao, Shan; Wang, Yiwen; Yuan, Zeyu; Wu, Xihong; Qu, Tianshu
Affiliation: State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China; State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China; State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China; State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China; State Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University, Beijing, China; Department of Internet of Things Technology and Application, China Mobile Research Institute, Beijing, China
Publication Date: October 2025
Type: Journal Article
Cost: Free to AES members & institutions and $33 to non-members