AASP-L9.1
Sparse-view Visual-acoustic Latent Learning for Novel-view Audio Synthesis
Yimu Pan, James Z. Wang, The Pennsylvania State University, United States of America; Lie Lu, Dolby Laboratories, United States of America
Session:
AASP-L9: Acoustics, Spatial Audio, and Active Noise Control VII Oral
Track:
Audio and Acoustic Signal Processing [AA]
Location:
Room 129+130
Presentation Time:
Thu, 7 May, 16:30 - 16:50
Presentation
Discussion
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Session AASP-L9
AASP-L9.1: Sparse-view Visual-acoustic Latent Learning for Novel-view Audio Synthesis
Yimu Pan, James Z. Wang, The Pennsylvania State University, United States of America; Lie Lu, Dolby Laboratories, United States of America
AASP-L9.2: E2E-AEC: IMPLEMENTING AN END-TO-END NEURAL NETWORK LEARNING APPROACH FOR ACOUSTIC ECHO CANCELLATION
Yiheng Jiang, Biao Tian, Haoxu Wang, Shengkui Zhao, Bin Ma, Daren Chen, Xiangang Li, Tongyi Lab, Alibaba Group, China
AASP-L9.3: Joint Estimation of Primary and Secondary Paths for Personalized Hearable Applications
Sooyeon Park, Kyoungbo Min, Seungdo Choi, Ikchae Jeong, Hosang Sung, Samsung Research, Korea, Republic of
AASP-L9.4: MULTIMODAL ROOM IMPULSE RESPONSE GENERATION THROUGH LATENT RECTIFIED FLOW MATCHING
Ali Vosoughi, University of Rochester, United States of America; Yongyi Zang, Smule Labs, United States of America; Qihui Yang, University of California, San Diego, United States of America; Nathan Paek, Stanford University, United States of America; Randal Leistikow, Smule Labs, United States of America; Chenliang Xu, University of Rochester, United States of America
AASP-L9.5: HiFi-HARP: A High-Fidelity 7th-Order Ambisonic Room Impulse Response Dataset
Shivam Saini, Jürgen Peissig, Leibniz University, Hannover, Germany
AASP-L9.6: REGULARIZED INVERSE FILTER DESIGN FOR RIGID SPHERICAL MICROPHONE ARRAY PROCESSING: LAPLACE- AND TIME-DOMAIN REPRESENTATIONS
Nara Hahn, Filippo Maria Fazi, University of Southampton, United Kingdom of Great Britain and Northern Ireland
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