Hybrid low bitrate audio coding using adaptive gain shape vector quantization

TLDR: This paper presents a novel scheme to code audio signals at low bitrates which uses a traditional scalar quantization followed by entropy coding to code some portions of the spectrum and results in an audio codec which has been shown to be among the best audio codecs available atLow bitrates.

Abstract: Audio coding at low bitrates typically suffers from artifacts caused by bandwidth truncation. In this paper we present a novel scheme to code audio signals at low bitrates which uses a traditional scalar quantization followed by entropy coding to code some portions of the spectrum (typically the lower portion). The other portions (typically the higher portions) of the spectrum are coded at a low bitrate using an adaptive gain shape vector quantizer where the codebook for vector quantization is formed by unmodified or modified versions of the portions of the spectrum which have already been coded. Fixed pre-trained codebooks are also available for use in certain cases. The use of such a scheme results in an audio codec which has been shown to be among the best audio codecs available at low bitrates. In addition, the decoder complexity of this audio codec is significantly lower than any other codec of equal quality at low bitrates.