Sparse DNN Model for Frequency Expanding of Higher Order Ambisonics Encoding Process

Author:

Gao Shan1,Lin Jing1,Wu Xihong1,Qu Tianshu1ORCID

Affiliation:

1. Key Laboratory on Machine Perception (Ministry of Education), School of Artificial Intelligence, Peking University, Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

High-performance Computing Platform of Peking University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neural Ambisonics Encoding For Compact Irregular Microphone Arrays;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

2. Synthesis of soundfields through irregular loudspeaker arrays based on convolutional neural networks;EURASIP Journal on Audio, Speech, and Music Processing;2024-03-28

3. Sound Source Localization in Spherical Harmonics Domain Based on High-Order Ambisonics Signals Enhancement Neural Network;IEEE Access;2024

4. TT-Net: Dual-Path Transformer Based Sound Field Translation in the Spherical Harmonic Domain;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

5. End-to-end sound field reproduction based on deep learning;The Journal of the Acoustical Society of America;2023-05-01

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