Speech conversion and its application to alaryngeal speech enhancement.

Persistent Link:
http://hdl.handle.net/10150/187290
Title:
Speech conversion and its application to alaryngeal speech enhancement.
Author:
Bi, Ning.
Issue Date:
1995
Publisher:
The University of Arizona.
Rights:
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.
Abstract:
In this investigation, a vector quantization (VQ)-based speech conversion algorithm and a linear multivariate regression (LMR)-based speech conversion algorithm were modified, and the modified algorithms were applied to the enhancement of alaryngeal speech. The modifications were aimed at reducing the spectral distortion (bandwidth increase) in the VQ-based system and the spectral discontinuity in the LMR-based system. The spectral distortion in the VQ-based algorithm was compensated by formant enhancement using chirp z-transform and cepstral weighting. The spectral discontinuity in the LMR-based system was minimized by the use of overlapped subsets during the constructing of conversion mapping function. These modified algorithms were evaluated using simulated data and speech samples. Results of the evaluations indicated that the modified algorithms reduced conversion distortions. These modified algorithms were also used for the enhancement of alaryngeal speech. Results of perceptual evaluation indicated that listeners generally preferred to listen to the enhanced speech samples.
Type:
text; Dissertation-Reproduction (electronic)
Degree Name:
Ph.D.
Degree Level:
doctoral
Degree Program:
Speech and Hearing Sciences; Graduate College
Degree Grantor:
University of Arizona
Committee Chair:
Qi, Yingyong

Full metadata record

DC FieldValue Language
dc.language.isoenen_US
dc.titleSpeech conversion and its application to alaryngeal speech enhancement.en_US
dc.creatorBi, Ning.en_US
dc.contributor.authorBi, Ning.en_US
dc.date.issued1995en_US
dc.publisherThe University of Arizona.en_US
dc.rightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.en_US
dc.description.abstractIn this investigation, a vector quantization (VQ)-based speech conversion algorithm and a linear multivariate regression (LMR)-based speech conversion algorithm were modified, and the modified algorithms were applied to the enhancement of alaryngeal speech. The modifications were aimed at reducing the spectral distortion (bandwidth increase) in the VQ-based system and the spectral discontinuity in the LMR-based system. The spectral distortion in the VQ-based algorithm was compensated by formant enhancement using chirp z-transform and cepstral weighting. The spectral discontinuity in the LMR-based system was minimized by the use of overlapped subsets during the constructing of conversion mapping function. These modified algorithms were evaluated using simulated data and speech samples. Results of the evaluations indicated that the modified algorithms reduced conversion distortions. These modified algorithms were also used for the enhancement of alaryngeal speech. Results of perceptual evaluation indicated that listeners generally preferred to listen to the enhanced speech samples.en_US
dc.typetexten_US
dc.typeDissertation-Reproduction (electronic)en_US
thesis.degree.namePh.D.en_US
thesis.degree.leveldoctoralen_US
thesis.degree.disciplineSpeech and Hearing Sciencesen_US
thesis.degree.disciplineGraduate Collegeen_US
thesis.degree.grantorUniversity of Arizonaen_US
dc.contributor.chairQi, Yingyongen_US
dc.contributor.committeememberGlattke, Theodore J.en_US
dc.contributor.committeememberShipp, Thomasen_US
dc.identifier.proquest9604516en_US
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