• DocumentCode
    1370775
  • Title

    Subadaptive piecewise linear quantization for speech signal (64 kbit/s) compression

  • Author

    Saito, Hiroto ; Umoto, Isao ; Sasou, Akira ; Nakamura, Shogo ; Horio, Yoshihiko ; Kubota, Tadahiro

  • Author_Institution
    Dept. of Electron. Eng., Tokyo Denki Univ., Japan
  • Volume
    4
  • Issue
    5
  • fYear
    1996
  • fDate
    9/1/1996 12:00:00 AM
  • Firstpage
    379
  • Lastpage
    382
  • Abstract
    We propose a simple speech compression algorithm using subband division and subadaptive piecewise linear quantization for a voice-mail system. Voice mail is an audio equivalent of sending letters. The main differences are that computer networks deliver the mail and that electronic recording is used instead of letters. Although speech data are stored in a semiconductor memory device, its capacity and the available network capacity are limited. Therefore, it is necessary to compress the data as much as possible. However, there are two conditions to be satisfied. The first is that the reconstructed datum must be understood correctly. Second, we need to identify the sender. Signals with a rate of 64 kbit/s are compressed at a ratio of about 1/9 using the proposed subband division and subadaptive piecewise linear quantization
  • Keywords
    adaptive signal processing; data compression; piecewise-linear techniques; quantisation (signal); speech coding; voice mail; 64 kbit/s; computer networks; electronic recording; network capacity; semiconductor memory device; speech compression algorithm; speech data; speech reconstruction; speech signal compression; subadaptive piecewise linear quantization; subband division; voice mail system; Audio recording; Compression algorithms; Computer networks; Filter bank; Frequency conversion; Piecewise linear techniques; Postal services; Quantization; Speech; Voice mail;
  • fLanguage
    English
  • Journal_Title
    Speech and Audio Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6676
  • Type

    jour

  • DOI
    10.1109/89.536931
  • Filename
    536931