• DocumentCode
    337527
  • Title

    Frequency recovery of narrow-band speech using adaptive spline neural networks

  • Author

    Uncini, Aurelio ; Gobbi, Francesco ; Piazza, Francesco

  • Author_Institution
    Dipt. di Elettronica e Autom., Ancona Univ., Italy
  • Volume
    2
  • fYear
    1999
  • fDate
    15-19 Mar 1999
  • Firstpage
    997
  • Abstract
    A new system for speech quality enhancement (SQE) is presented. A SQE system attempts to recover the high and low frequencies from a narrow-band speech signal, usually working as a post-processor at the receiver side of a transmission system. The new system operates directly in the frequency domain using complex-valued neural networks. In order to reduce the computational burden and improve the generalization capabilities, a new architecture based on a previously introduced neural network, called the adaptive spline neural network (ASNN), is employed. Experimental results demonstrate the effectiveness of the proposed method
  • Keywords
    adaptive signal processing; frequency-domain analysis; neural net architecture; speech enhancement; speech intelligibility; splines (mathematics); adaptive spline neural networks; complex-valued neural networks; experimental results; frequency domain; frequency recovery; high frequencies; low frequencies; narrow-band speech; narrow-band speech signal; neural network architecture; post-processor; receiver; speech quality enhancement; transmission system; Adaptive systems; Finite impulse response filter; Frequency; Narrowband; Neural networks; Signal processing; Speech enhancement; Speech processing; Spline; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
  • Conference_Location
    Phoenix, AZ
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-5041-3
  • Type

    conf

  • DOI
    10.1109/ICASSP.1999.759868
  • Filename
    759868