This paper proposes a new object-based audio coding algorithm, which uses non-negative matrix factorization (NMF) for the magnitude spectrogram representation and the phase information is coded separately. The magnitude model is obtained using a perceptually weighted NMF algorithm, which minimizes the noise-to-mask ratio (NMR) of the decomposition, and is able to utilize long term redundancy by an object-based representation. Methods for the quantization and entropy coding of the NMF representation parameters are proposed, and the quality loss is evaluated using the NMR measure. The quantization of the phase information is also studied. Additionally we propose a sparseness criteria for the NMF algorithm, which is set to favor the gain values having the highest probability and thus the shortest entropy coding word length, resulting to a reduced bitrate.

Authors: Nikunen, Joonas; Virtanen, Tuomas
Affiliation: Tampere University of Technology, Tampere, Finland
AES Convention: 128 (May 2010) Paper Number: 8083
Publication Date: May 1, 2010 Import into BibTeX
Subject: Audio Processing—Audio Coding and Machine Interface
Permalink: https://www.aes.org/e-lib/browse.cfm?elib=15380

Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!

This paper costs $33 for non-members and is free for AES members and E-Library subscribers.

Learn more about the AES E-Library

E-Library Location: (CD 128Papers)   /128/8083.pdf

Start a discussion about this paper!