Audio bandwidth extension method based on local least square support vector machine

被引：0

作者：

Bai H.-C. ^{[1
]}

Bao C.-C. ^{[1
]}

Liu X. ^{[1
]}

机构：

[1] School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing

来源：

Liu, Xin (liuxin0930@emails.bjut.edu.cn) | 1600年 / Chinese Institute of Electronics卷 / 44期

关键词：

Audio coding; Bandwidth extension; Gaussian mixture model; Local least square support vector machine;

D O I：

10.3969/j.issn.0372-2112.2016.09.027

中图分类号：

学科分类号：

摘要：

The auditory quality of wideband audio is generally degraded due to the lack of the high-frequency in network transmission, so this paper presents a kind of audio bandwidth extension method from wideband to super wideband based on local least square support vector machine. In the light of the nonlinearity of audio spectrum, the high-frequency fine spectrum of audio signals is predicted by using phase space reconstruction and local least square support vector machine. Combining with the estimation of high-frequency sub-band energy based on Gaussian mixture model, the proposed method can effectively recover the high-frequency components in the frequency range 7 kHz~14 kHz through the envelope adjustment of high-frequency spectrum at last. Subjective and objective testing results indicate that the proposed method improves the auditory quality of wideband audio and outperforms the reference methods of audio bandwidth extension. © 2016, Chinese Institute of Electronics. All right reserved.

引用

页码：2203 / 2210

页数：7

共 13 条

[1] ITU-T G.722.1 Annex C, Low Complexity Coding at 24 and 32 kb/s for Hands-free Operation in Systems with Low Frame Loss Annex C 14 kHz Mode at 24, 32 and 48 kb/s, (2005)
[2] Vary P., Martin R., Digital Speech Transmission-Enhancement Coding and Error Concealment, (2006)
[3] Zhang Y., Hu R., Speech wideband extension based on Gaussian mixture model, Acta Acustica, 35, 5, pp. 471-480, (2009)
[4] Liu X., Bao C.-C., A harmonic bandwidth extension based on Gaussian mixture model, 10th International Conference on Signal Processing, pp. 474-477, (2010)
[5] Liu X., Bao C.-C., Nonlinear bandwidth extension of audio signals based on hidden Markov model, IEEE International Symposium on Signal Processing and Information Technology, pp. 144-149, (2011)
[6] Liu H.-J., Bao C.-C., Audio bandwidth extension based on RBF neural network, IEEE International Symposium on Signal Processing and Information Technology, pp. 150-154, (2011)
[7] Larsen E., Aarts R.M., Audio Bandwidth Extension-application of Psychoacoustics, Signal Processing and Loudspeaker Design, (2004)
[8] Nagel F., Disch S., A harmonic bandwidth extension method for audio codecs, IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 145-148, (2009)
[9] Liu X., Bao C.-C., Nonlinear bandwidth extension based on nearest-neighbor matching, Asia-Pacific Signal and Information Processing Association, pp. 169-172, (2010)
[10] Liu X., Nonlinear Bandwidth Extending for Wideband Audio, (2011)

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