Classified vector excitation speech coding
作者:
S.Marlow,
B.Buggy,
期刊:
IEE Proceedings I (Communications, Speech and Vision)
(IET Available online 1989)
卷期:
Volume 136,
issue 5
页码: 325-327
年代: 1989
DOI:10.1049/ip-i-2.1989.0047
出版商: IEE
数据来源: IET
摘要:
Code excited linear prediction (CELP) has been shown [1] to be capable of achieving high quality speech compression at very low bit rates. However, the original method suffers from the two drawbacks that it requires a large amount of computation, and the Gaussian codebook used is not able to reproduce a sharp impulse in the coded residual waveform. The authors present a classified vector excitation coding (CVXC) scheme based on selective modelling of the LPC residual which attempts to overcome both these drawbacks by using separate codebooks for separate excitation types. A further feature of our coder which helps preserve the nature of pulsive residuals, is the use of pairwise nearest neighbour (PNN) matching [2] to generate the excitation codebooks.
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