ADAPTIVE TRANSFORM CODING OF SPEECH BY MEANS OF VECTOR QUANTIZATION (ATC-VQ).

Takehiro Moriya, Masaaki Honda

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

An adaptive transform coder is proposed that makes effective use of vector quantization. It is aimed at medium-band (4. 8-9. 6 kbps) speech coding. To minimize waveform distortion, discrete Fourier transform (DFT) coefficients of the linear prediction residue are quantized using two novel techniques: information has been adaptively allocated so as to obtain SNR gain, and quantization has been divided into two (vector-scalar) stages for a higher bit rate. Subjective quality at 7. 2 kbps in comparable to that for a 5 bit log PCM. The coder is resistant to background noise.

Original languageEnglish
Pages (from-to)87-95
Number of pages9
JournalReports of the Electrical Communication Laboratory
Volume34
Issue number1
Publication statusPublished - 1986 Jan 1

ASJC Scopus subject areas

  • Engineering(all)

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