Referenced Items are not available for this document.
We consider wavelet-based self-affine modeling of speech signals for speech compression. We propose two approaches. In the first approach, the self-affine modeling is considered for the representation of speech signal itself. In the second approach, the self-affine modeling is applied for the representation of speech excitation of a linear predictor. In both approaches, error propagation at reconstruction due to the modeling error is avoided by using a causal domain pool. We compare the performance of proposed schemes with that of the GSM 06.10 standard.
Published in:
Signals, Systems & Computers, 1997. Conference Record of the Thirty-First Asilomar Conference on
(Volume:2
)
Date of Conference: 2-5 Nov. 1997
- Page(s):
- 1080 - 1084 vol.2
- Meeting Date :
- 02 Nov 1997-05 Nov 1997
- ISSN :
- 1058-6393
- Print ISBN:
- 0-8186-8316-3
- INSPEC Accession Number:
- 6033296
- Conference Location :
- Pacific Grove, CA, USA
- Digital Object Identifier :
- 10.1109/ACSSC.1997.679072
- Product Type:
- Conference Publications
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