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.
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© 2005 Springer-Verlag Berlin Heidelberg
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Hong, JS., Choi, JH., Ahn, CB., Sohn, CB., Oh, SJ., Park, H. (2005). Dual-Domain Quantization for Transform Coding of Speech and Audio Signals. In: Ho, YS., Kim, H.J. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3767. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11581772_64
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DOI: https://doi.org/10.1007/11581772_64
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-30027-4
Online ISBN: 978-3-540-32130-9
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