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Multichannel audio upmixing based on non-negative tensor factorization representation

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3 Author(s)
Nikunen, J. ; Tampere Univ. of Technol., Tampere, Finland ; Virtanen, T. ; Vilermo, M.

This paper proposes a new spatial audio coding (SAC) method that is based on parametrization of multichannel audio by sound objects using non-negative tensor factorization (NTF). The spatial parameters are estimated using perceptually motivated NTF model and are used for upmixing a downmixed and encoded mixture signal. The performance of the proposed coding is evaluated using listening tests, which prove the coding performance being on a par with conventional SAC methods. The novelty of the proposed coding is that it enables controlling the upmix content by meaningful objects.

Published in:

Applications of Signal Processing to Audio and Acoustics (WASPAA), 2011 IEEE Workshop on

Date of Conference:

16-19 Oct. 2011