Abstract
New quantization method for transform coding of speech and audio signals is proposed. The spectral coefficients obtained by the first transform are split into frequency bands, and those of each band are transformed again on a band basis, resulting in another set of coefficients for each band, Then, the efficiency of Huffman coding in two transform domains is analyzed on a band basis and a domain with better performance is selected for each band as the final quantization domain. In addition, a set of domain selection patterns with frequent occurrence is pre-defined in order to decrease the number of side-information bits for indicating the selected domains. The proposed quantization method based on the dual-domain approach is applied to ITU G.722.1 signal codec and the improvement of quantization performance for various speech and audio signals is verified. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Hong, J. S., Choi, J. H., Ahn, C. B., Sohn, C. B., Oh, S. J., & Park, H. (2005). Dual-domain quantization for transform coding of speech and audio signals. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3767 LNCS, pp. 731–741). Springer Verlag. https://doi.org/10.1007/11581772_64
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