Wishart Localization Prior On Spatial Covariance Matrix In Ambisonic Source Separation Using Non-Negative Tensor Factorization-Reference-Cited by-同舟云学术

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Wishart Localization Prior On Spatial Covariance Matrix In Ambisonic Source Separation Using Non-Negative Tensor Factorization

Published:2022-05-23 Issue: Volume: Page:
ISSN:
Container-title:ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Guzik Mateusz¹,Kowalczyk Konrad¹

Affiliation:

1. AGH University of Science and Technology,Institute of Electronics,Kraków,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746222.pdf?arnumber=9746222

Reference20 articles.

1. Multichannel Extensions of Non-Negative Matrix Factorization With Complex-Valued Data

2. Direction of Arrival Based Spatial Covariance Model for Blind Sound Source Separation

3. Spatial location priors for Gaussian model based reverberant audio source separation

4. Block-relaxation Algorithms in Statistics

Cited by 3 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. On Ambisonic Source Separation With Spatially Informed Non-Negative Tensor Factorization;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2024

2. Convolutive NTF for Ambisonic Source Separation under Reverberant Conditions;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04

3. Direction specific ambisonics source separation with end-to-end deep learning;Acta Acustica;2023

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