Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content-Reference-Cited by-同舟云学术

Upmixing Via Style Transfer: A Variational Autoencoder for Disentangling Spatial Images And Musical Content

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:

Yang Haici¹,Wager Sanna²,Russell Spencer²,Luo Mike²,Kim Minje¹,Kim Wontak²

Affiliation:

1. Indiana University,Dept. of Intelligent Systems Engineering,Bloomington,IN,USA

2. Amazon Lab126,Cambridge,MA,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9745891/9746004/09746978.pdf?arnumber=9746978

Reference24 articles.

1. Efficient Primary-Ambient Decomposition Algorithm for Audio Upmix

2. Primary-ambient extraction in audio signals using adaptive weighting and principal component analysis;ibrahim;Proc Sound and Music Computing Conference (SMC),2016

3. A supervised learning approach to ambience extraction from mono recordings for blind upmixing;uhle;Proc Int Conf Digital Audio Effects (DAFx),2008

4. Primary-Ambient Source Separation for Upmixing to Surround Sound Systems

5. Exploiting Deep Neural Networks for Two-to-Five Channel Surround Decoder

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. Automatic Audio Upmixing Based on Source Separation and Ambient Extraction Algorithms;2023 International Conference on Speech Technology and Human-Computer Dialogue (SpeD);2023-10-25

2. General Purpose Audio Effect Removal;2023 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA);2023-10-22