Abstract
The waveform interpolation is one of the speech coding algorithms with high quality at low bit rates. In the WI coding, the vector quantization of SEW requires a variable dimension quantization technique since the dimension of the SEW amplitude spectrum varies depending on the pitch period. However, since the variable dimension vector makes a difficulty to employ conventional vector quantization techniques directly, some dimension conversion techniques are usually utilized for the quantization of the variable dimension vectors. In this paper, we propose a new dimension conversion method for the SEW quantization in order to reduce the cost of codebook storage space with a small conversion error in the wideband WI speech coding. This dimension conversion method would be more useful for the wideband speech because wideband speech requires larger codebook memory for the variable dimension vector quantization compared to narrowband speech.
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References
Kleijn, W.B., Haagen, L.J.: Waveform interpolation for coding and synthesis. Speech Coding and Synthesis, 175–207 (1995)
Ritz, C.H., Burnett, I.S., Lukasiak, J.: Extending waveform interpolation to wideband speech coding. In: Proc. IEEE workshop on Speech Coding, pp. 32–34 (2002)
Ritz, C.H., Burnett, I.S., Lukasiak, J.: Low bit rate wideband WI speech coding. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 804–807 (2003)
Byun, K.J., Eo, I.S., Jeong, H.B., Hahn, M.: An Embedded ACELP Speech Coding Based on the AMR-WB Codec. ETRI Journal 27(2), 231–234 (2005)
Kang, H.-G., Sen, D.: Embedded WI coding between 2.0 and 4.8 kbit/s. In: Proc. IEEE workshop on Speech Coding, pp. 87–89 (1999)
Lupini, P., Cuperman, V.: Vector quantization of harmonic magnitudes for low rate speech coders. In: Proc. IEEE Globecom Conference, pp. 858–862 (1994)
Nishiguchi, M., Mutsumoto, J., Wakatsuki, R., Ono, S.: Vector quantized MBE with simplified V/UV decision at 3.0 kbps. In: Proc. IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 151–154 (1993)
Nishiguchi, M., Inoue, A., Maeda, Y., Matsumoto, J.: Parametric speech coding-HVXC at 2.0-4.0 kbps. In: Proc. IEEE workshop on Speech Coding, pp. 84–86 (1999)
Shlomot, E., Cuperman, V., Gersho, A.: Hybrid coding: combined harmonic and waveform coding of speech at 4 kb/s. IEEE Trans. Speech, and Audio Processing 9(6), 632–646 (2001)
Byun, K.J., Jeong, S., Kim, H., Hahn, M.: Noise Whitening-Based Pitch Detection for Speech Highly Corrupted by Colored Noise. ETRI Journal 25(1), 49–51 (2003)
Rabiner, L.R., Shafer, R.W.: Digital Processing of Speech Signals, pp. 141–161. Prentice-Hall, Englewood Cliffs (1978)
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Byun, K.J., Eo, I.S., Jeong, H.B., Hahn, M. (2005). A Novel Dimension Conversion for the Quantization of SEW in Wideband WI Speech Coding. In: Huang, DS., Zhang, XP., Huang, GB. (eds) Advances in Intelligent Computing. ICIC 2005. Lecture Notes in Computer Science, vol 3644. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11538059_20
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DOI: https://doi.org/10.1007/11538059_20
Publisher Name: Springer, Berlin, Heidelberg
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