Referenced Items are not available for this document.
Two existing speech conversion algorithms were modified and used to enhance alaryngeal speech. The modifications were aimed at reducing the spectral distortion (bandwidth increase) in a vector-quantization (VQ) based system and the spectral discontinuity in a linear multivariate regression (LMR) based system. Spectral distortion was compensated for by formant enhancement using the chirp z-transform and cepstral weighting. Spectral discontinuity was alleviated using overlapping clusters during the construction of the conversion mapping function. The modified VQ and LMR algorithms were used to enhance alaryngeal speech. The results of perceptual evaluation indicated that listeners generally preferred to listen to the alaryngeal speech samples enhanced by the modified conversions over original samples
Published in:
Speech and Audio Processing, IEEE Transactions on
(Volume:5
,
Issue:
2
)
Date of Publication: Mar 1997
- Page(s):
- 97 - 105
- ISSN :
- 1063-6676
- INSPEC Accession Number:
- 5518840
- Digital Object Identifier :
- 10.1109/89.554771
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Mar 1997
- Sponsored by :
- IEEE Signal Processing Society
About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies
A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.
