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Cross-fading weight function algorithm

eagle-i ID


Resource Type

  1. Algorithmic software component


  1. Resource Description
    "We propose a new algorithm that uses a unit-dependent trainable parameterized cross-fading weight function to generate more natural-looking formant trajectories and, it is hoped, better-sounding output speech. The proposed algorithm: - uses a perceptually-based objective function to capture differences between cross-faded and natural trajectories across the whole region of the phoneme, and - uses phoneme identity, prosodic contexts, and acoustic features of the units to predict optimal cross-fading parameters to generate more natural formant trajectories."
  2. Used by
    Center for Spoken Language Understanding
  3. Related Publication or Documentation
    Perceptual Cost Function for Cross-fading Based Concatenation
  4. Developed by
    Kain, Alexander, Ph.D.
  5. Developed by
    van Santen, Jan P.H., Ph.D.
  6. Developed by
    Miao, Qi
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