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

Takehiro Moriya, Masaaki Honda

Research output: Contribution to journalArticle

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. In order to minimize waveform distortion, DFT (discrete Fourier transform) components of the LPC (linear predictive coding) residue are quantized using two novel techniques: bit allocation to blockwise DFT components has been made adaptible to obtain snr gain, and quantization has been divided into two stages (vector-scalar) for higher bit rates. Subjective quality of speech coded at 7. 2 kbps is comparable to that for 5 bit log-PCM. Intelligibility tests show that the coder is resistant to background noise.

Original languageEnglish
Pages (from-to)435-445
Number of pages11
JournalDenki Tsushin Kenkyujo kenkyu jitsuyoka hokoku
Volume34
Issue number3
Publication statusPublished - 1985 Jan 1

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ASJC Scopus subject areas

  • Engineering(all)

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