关键词: 多对象音频编码, 空间参数, 空间位置约束, 动态量化

Abstract: In some certain interactive scenes recently, object-based audio coding can provide more flexibility for     receivers in personalized rendering to create particular mixture of objects. However, if these objects are coding separately, the total bitrate of all objects goes up sharply with the increasing number of objects. Spatial audio object    coding (SAOC) proposed by MPEG mixes all objects to one mixture signal and some side information for each object. However, when there are more than 32 objects to encode, the bitrate of side information will be high with the increase of object number and can be much more than half of the total bitrate. Aiming at this problem, this paper proposes the spatial parameters quantization based on spatial location constraint of 3D audio objects. On the theoretical basis of summing localization, the location constraint between virtual sound source and original 3D audio objects is utilized to find out spatial constraint region, and then the local spatial quantization codebook is figured out for extracted spatial parameters in quantization. Objective and subjective experimental results indicate that, with roughly equivalent perceptual quality and spatial location, the side information bitrate of the proposed approach is 30% lower than that of SAOC on average.

Key words: multi-object coding, spatial parameters, spatial location constraint, dynamic quantization