This paper deals with the spatialization of multiple compressed audio streams. A new approach is proposed based on the combination of subband-domain filtering methods with linear decomposition methods of HRTFs filters, and more generally the filters used by sound spatialization techniques (binaural, transaural, ambisonic, etc). Such a combination allows both computation complexity reduction and memory size saving for sound spatialization systems of multiple compressed audio signals. These advantages are very useful for any implementation on limited capabilities terminals (computation power and memory size) which is the case of mobile and portable devices.
This paper presents an efficient method for the conversion between subband domain representations of different filter banks. It advantageously replaces the conventional cascade of synthesis and analysis banks leading to algorithmic delay reduction and high degree of parallelism for implementation. It is especially useful for transcoding applications between subband compressed multimedia signal formats.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.