Multichannel Audio Upmixing by Time-Frequency Filtering Using Non-Negative Tensor Factorization

Nikunen J, Virtanen T, Vilermo M. Multichannel Audio Upmixing by Time-Frequency Filtering Using Non-Negative Tensor Factorization. J Audio Eng Soc. 2012;60(10):794-806. Available from: https://aes.org/publications/elibrary-page/?id=16553

@article{Nikunen2012_16553,
  author = {Nikunen, Joonas and Virtanen, Tuomas and Vilermo, Miikka},
  title = {{Multichannel Audio Upmixing by Time-Frequency Filtering Using Non-Negative Tensor Factorization}},
  journal = {Journal of the Audio Engineering Society},
  volume = {60},
  number = {10},
  pages = {794--806},
  year = {2012},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16553}
}

TY  - JOUR
TI  - Multichannel Audio Upmixing by Time-Frequency Filtering Using Non-Negative Tensor Factorization
AU  - Nikunen, Joonas
AU  - Virtanen, Tuomas
AU  - Vilermo, Miikka
T2  - Journal of the Audio Engineering Society
J2  - J. Audio Eng. Soc.
VL  - 60
IS  - 10
SP  - 794
EP  - 806
PY  - 2012
DA  - 2012/10/06
UR  - https://aes.org/publications/elibrary-page/?id=16553
PB  - Audio Engineering Society
LA  - en
AB  - The expanding use of portable multimedia devices has intensified the need for better forms of scalable spatial audio coding (SAC) that match the connectivity rate and multichannel playback capabilities of the receiving device. A new SAC method is based on the parameterization of multichannel audio by representing it as a linear combination of objects composed of fixed spectral bases with time-varying gain and channel-dependent spatial gain. Spatial parameters can be estimated from the original multichannel signal using psychoacoustic properties of sound source localization. The base audio can be monophonic or downmixed stereophonic. Listening tests showed that the proposed SAC algorithm achieved the performance of conventional spatial audio coding methods with similar bit rates. The sound separation performance was evaluated and found applicable for separating sound sources in the coding domain directly.
ER  -