Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined BSS in Reverberant Environments-Reference-Cited by-同舟云学术

Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined BSS in Reverberant Environments

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

Author:

Sawada Hiroshi¹,Ikeshita Rintaro¹,Kinoshita Keisuke¹,Nakatani Tomohiro¹

Affiliation:

1. NTT Corporation,NTT Communication Science Laboratories

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746723.pdf?arnumber=9746723

Reference30 articles.

1. CuPy: A NumPy-compatible library for NVIDIA GPU calculations;okuta;Proceedings of Workshop on Machine Learning Systems (LearningSys) in The Thirty-first Annual Conference on Neural Information Processing Systems (NIPS),2017

2. Nonnegative matrix factorization and spatial covariance model for under-determined reverberant audio source separation

3. A Joint Diagonalization Based Efficient Approach to Underdetermined Blind Audio Source Separation Using the Multichannel Wiener Filter

4. Blind separation of convolved mixtures in the frequency domain

5. A frequency domain blind signal separation method based on decorrelation

Cited by 2 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. 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

2. Multi-Frame Full-Rank Spatial Covariance Analysis for Underdetermined Blind Source Separation and Dereverberation;IEEE/ACM Transactions on Audio, Speech, and Language Processing;2023