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Spectral adjustment algorithm
eagle-i ID
http://ohsu.eagle-i.net/i/0000013b-2026-4a9e-c825-3bd680000000
Resource Type
Properties
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Resource Description
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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."
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Used by
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Center for Spoken Language Understanding
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Related Publication or Documentation
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Stochastic Modeling of Spectral Adjustment for High Quality Pitch Modification
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Developed by
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Kain, Alexander, Ph.D.
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Developed by
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Stylianou, Yannis