Vectorial Spectral Quantization for Audio Coding (original) (raw)

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings

Abstract

The paper introduces a new coding methodology of the spectral modified discrete cosine transform (MDCT) coefficients of an audio signal. A lattice quantizer is used for each spectral sub-band, having the dimension equal to the size of the respective sub-band. The information that needs to be encoded consists of lattice codevector indexes, side information relative to the number the bits on which the indexes are represented and the integer exponents of the sub-band scaling factors. The nature of the side information, together with the parameterization of the quantization resolution allows the use of the method for a large range of bitrates e.g. for 44.1 kHz sampled mono files, from 128 kbits/s down to 16 kbits/s. Subjective listening tests show similar performance of the proposed method to the advanced audio coding (AAC) codec for high bitrates (128 kbits down to 64 kbits/s) and clearly better performance for lower bitrates

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