Transform Coding of Speech Using a Weighted Vector Quantizer

Tkehiro Moriya, Asaaki Honda

Research output: Contribution to journalArticlepeer-review

24 Citations (Scopus)


A new medium-band speech coder is proposed which employs a weighted vector quantization scheme in the transformed domain. In this coding, linear prediction residue is transformed and vector quantized. In order to control the quantization errors in the transformed domain, adaptively weighted matching is employed instead of conventional adaptive bit allocation. Therefore, the residual signal can be reconstructed by the decoder, even if the spectral envelope parameters are destroyed due to transmission errors. This coder is also capable of maintaining higher SNR performance than time domain vector quantization coders for a wide range of computation complexities and for a wide range of bit rates. Coded speech is natural and unaffected by background noise. The mean opinion score for this coder at 7.2 kbit/s is comparable to that of 5.5-bit log PCM coded speech sampled at 6.4 kHz.

Original languageEnglish
Pages (from-to)425-431
Number of pages7
JournalIEEE Journal on Selected Areas in Communications
Issue number2
Publication statusPublished - 1988 Feb
Externally publishedYes

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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