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[Keyword] parametric stereo(2hit)

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  • New Context-Adaptive Arithmetic Coding Scheme for Lossless Bit Rate Reduction of Parametric Stereo in Enhanced aacPlus

    Hee-Suk PANG  Jun-seok LIM  Hyun-Young JIN  

     
    LETTER-Speech and Hearing

      Pubricized:
    2018/09/18
      Vol:
    E101-D No:12
      Page(s):
    3258-3262

    We propose a new context-adaptive arithmetic coding (CAAC) scheme for lossless bit rate reduction of parametric stereo (PS) in enhanced aacPlus. Based on the probability analysis of stereo parameters indexes in PS, we propose a stereo band-dependent CAAC scheme for PS. We also propose a new coding structure of the scheme which is simple but effective. The proposed scheme has normal and memory-reduced versions, which are superior to the original and conventional schemes and guarantees significant bit rate reduction of PS. The proposed scheme can be an alternative to the original PS coding scheme at low bit rate, where coding efficiency is very important.

  • Bandwidth-Scalable Stereo Audio Coding Based on a Layered Structure

    Young Han LEE  Deok Su KIM  Hong Kook KIM  Jongmo SUNG  Mi Suk LEE  Hyun Joo BAE  

     
    LETTER-Speech and Hearing

      Vol:
    E92-D No:12
      Page(s):
    2540-2544

    In this paper, we propose a bandwidth-scalable stereo audio coding method based on a layered structure. The proposed stereo coding method encodes super-wideband (SWB) stereo signals and is able to decode either wideband (WB) stereo signals or SWB stereo signals, depending on the network congestion. The performance of the proposed stereo coding method is then compared with that of a conventional stereo coding method that separately decodes WB or SWB stereo signals, in terms of subjective quality, algorithmic delay, and computational complexity. Experimental results show that when stereo audio signals sampled at a rate of 32 kHz are compressed to 64 kbit/s, the proposed method provides significantly better audio quality with a 64-sample shorter algorithmic delay, and comparable computational complexity.