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Spectral adjustment algorithm

eagle-i ID


Resource Type

  1. Algorithmic software component


  1. Resource Description
    An "algorithm for adjusting the magnitude spectrum when the fundamental frequency (F0) of a speech signal is altered. The algorithm exploits the correlation between F0 and the magnitude spectrum of speech as represented by line spectral frequencies (LSFs). This correlation is class-dependent, and thus a broad classification of the input is achieved by a Gaussian mixture model (GMM). The within-class dependencies of LSFs on F0 values are captured by constructing their joint probability densities using a series of GMMs, one for each speech class. The proposed system is used for post-processing the pitch modified signal. Perceptual tests showed that the addition of this post-processing system improves the naturalness of the pitch modified signal for large pitch modification factors."
  2. Used by
    Center for Spoken Language Understanding
  3. Related Publication or Documentation
    Stochastic Modeling of Spectral Adjustment for High Quality Pitch Modification
  4. Developed by
    Kain, Alexander, Ph.D.
  5. Developed by
    Stylianou, Yannis
Provenance Metadata About This Resource Record
Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016