On the Predictability of Hrtfs from Ear Shapes Using Deep Networks-Reference-Cited by-同舟云学术

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On the Predictability of Hrtfs from Ear Shapes Using Deep Networks

Published:2021-06-06 Issue: Volume: Page:
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Container-title:ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhou Yaxuan,Jiang Hao,Ithapu Vamsi Krishna

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9413349/9413350/09414042.pdf?arnumber=9414042

Cited by 10 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. SoniWeight Shoes: Investigating Effects and Personalization of a Wearable Sound Device for Altering Body Perception and Behavior;Proceedings of the CHI Conference on Human Factors in Computing Systems;2024-05-11

2. On HRTF Notch Frequency Prediction using Anthropometric Features and Neural Networks;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Efficient prediction of individual head-related transfer functions based on 3D meshes;Applied Acoustics;2024-03

4. Individual HRTF Prediction Based on Anthropometric Data and Multi-Stage Model;2023 IEEE International Conference on Multimedia and Expo Workshops (ICMEW);2023-07

5. Learning to Personalize Equalization for High-Fidelity Spatial Audio Reproduction;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

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