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Self-affine modeling of speech signal in speech compression

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2 Author(s)
Anandakumar, K. ; Dept. of Electr. Eng., Pennsylvania Univ., Philadelphia, PA, USA ; Kassam, S.A.

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

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