• DocumentCode
    854532
  • Title

    Improved line spectral frequency estimation through anti-aliasing filtering

  • Author

    Al-Naimi, K. ; Villette, S. ; Kondoz, A. ; Heikkinen, A.P.

  • Author_Institution
    Centre for Commun. Syst. Res., Univ. of Surrey, Guildford
  • Volume
    153
  • Issue
    5
  • fYear
    2006
  • Firstpage
    610
  • Lastpage
    617
  • Abstract
    A study of the classic line spectral frequency (LSF) extraction methods along with the assumptions made during their estimation is presented. LSF extraction is investigated from an over-sampling and decimation perspective and LSFs are shown to contain high-frequency variations that led to spectral overlapping problems. An anti-aliasing filter prior to decimation, with a cut-off frequency dependent on the final LSF vector transmission rate, is proposed to alleviate the aliasing problem of the classic extraction methods. The proposed method shows a clear advantage because it produces the same quantisation distortion as the classic methods at a lower bit requirement, with significant reduction in 2 and 4 dB outliers that greatly affect synthesised speech quality. This was also confirmed through a listening test
  • Keywords
    feature extraction; filtering theory; frequency estimation; quantisation (signal); spectral analysis; speech processing; LSF extraction; anti-aliasing filtering; decimation perspective; line spectral frequency estimation; over-sampling perspective; quantisation distortion; spectral overlapping problems; synthesised speech quality;
  • fLanguage
    English
  • Journal_Title
    Vision, Image and Signal Processing, IEE Proceedings -
  • Publisher
    iet
  • ISSN
    1350-245X
  • Type

    jour

  • DOI
    10.1049/ip-vis:20045257
  • Filename
    4027749