• DocumentCode
    705139
  • Title

    Bandwidth extension of telephone speech using a filter bank implementation for highband MEL spectrum

  • Author

    Pulakka, Hannu ; Myllylau, Ville ; Laaksonen, Laura ; Alku, Paavo

  • Author_Institution
    Sch. of Sci. & Technol., Dept. of Signal Process. & Acoust., Aalto Univ., Aalto, Finland
  • fYear
    2010
  • fDate
    23-27 Aug. 2010
  • Firstpage
    979
  • Lastpage
    983
  • Abstract
    The limited audio bandwidth used in telephone systems degrades both the quality and the intelligibility of speech. This paper presents a new method for the bandwidth extension of telephone speech. Frequency components are added to the frequency band 4-8 kHz using only the information in the narrowband speech. First, a wideband excitation is generated by spectral folding from the narrowband linear prediction residual. The highband of this signal is divided into four subbands with a filter bank, and a neural network is used to weight the subbands based on features calculated from the narrowband speech. Bandwidth-extended speech is obtained by summing the weighted subbands and the original narrowband signal. Listening tests show that this new method improves speech quality compared with a previously published bandwidth extension method.
  • Keywords
    audio signal processing; channel bank filters; neural nets; prediction theory; speech intelligibility; telephony; audio bandwidth; bandwidth extension method; bandwidth-extended speech; filter bank implementation; frequency 4 kHz to 8 kHz; high band MEL spectrum; listening tests; narrowband linear prediction residual; narrowband signal; narrowband speech; neural network; spectral folding; speech quality; telephone speech; telephone systems; wideband excitation; Narrowband; Noise; Speech; Speech coding; Speech processing; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Conference, 2010 18th European
  • Conference_Location
    Aalborg
  • ISSN
    2219-5491
  • Type

    conf

  • Filename
    7096412