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Subband audio coding using a perceptually hybrid vector-scalar quantization

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1 Author(s)
Yu Rongshan ; Nanyang Technol. Inst., Singapore

This paper presents a novel perceptually hybrid vector-scalar quantization scheme for high quality subband audio coding at low bit rates. A QMF filter bank is used to decompose, in the frequency domain, the input audio signal into constant width subbands. Each subband is then quantized using either a multi-stage vector quantizer or a scalar quantizer. In order to obtain a high quality audio, a dynamic bit-allocation algorithm is used to select the best quantizer for each subband based on the outputs of a psychoacoustic model and the total quantization bits available. The performance of the proposed coder is assessed from segmental signal-to-noise ratios (SEGSNR) and informal listening tests, which show that the proposed audio coder with the perceptually hybrid vector-scalar quantization scheme is superior in both objective and subjective performances compared with a subband audio coder with full scalar quantization

Published in:

Multimedia and Expo, 2000. ICME 2000. 2000 IEEE International Conference on  (Volume:2 )

Date of Conference:

2000

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