Abstract
MPEG advanced audio coding (AAC) is the current state of the art in perceptual audio coding technology standardized by MPEG. Nevertheless the real-time constraint of reference software implementation for the AAC encoder provided by MPEG leads to a heavy computational bottleneck on today's portable devices. In this paper we review briefly the algorithms specified in the MPEG AAC standard and analyze the algorithmic performance. Then we carry out algorithm level optimizations in order to get a low complexity as well as high quality audio encoder that can be easily ported onto multiple platforms. In psychoacoustic model, a MDCT-based psychoacoustic analysis and block switching algorithm in time domain and a tonality detection measure are presented. Moreover, we employ improved pre-processing and adjustment of scale factor in quantization module. Experimental results show the optimized encoder can save about half of overall computational complexity. According to subject evaluation result, the perceptual audio quality of improved encoder is better than the AAC LC reference encoder.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
