High Quality Audio Object Coding Framework Based on Non-Negative Matrix Factorization

作者：Wu, Tingzhao; Hu, Ruimin^*; Wang, Xiaochen; Ke, Shanfa; Wang, Jinshan

来源：China Communications, 2017, 14(9): 32-41.

DOI：10.1109/cc.2017.8068762

• object-based audio coding
• non-negative matrix factorization
• audio scene coding

Object-based audio coding is the main technique of audio scene coding. It can effectively reconstruct each object trajectory, besides provide sufficient flexibility for personalized audio scene reconstruction. So more and more attentions have been paid to the object-based audio coding. However, existing object-based techniques have poor sound quality because of low parameter frequency domain resolution. In order to achieve high quality audio object coding, we propose a new coding framework with introducing the non-negative matrix factorization (NMF) method. We extract object parameters with high resolution to improve sound quality, and apply NMF method to parameter coding to reduce the high bitrate caused by high resolution. And the experimental results have shown that the proposed framework can improve the coding quality by 25%, so it can provide a better solution to encode audio scene in a more flexible and higher quality way.

• 出版日期2017-9
• 单位武汉大学