Study on Multichannel Speech Enhancement Technology in Voice Human-Computer Interaction

Abstract:

Article Preview

As the primary research area of the Multimoda1 Human-computer Interaction, Voice Interaction mainly involves extraction and identification of the natural speech signal, where the former provides the reliable signal sources, which are analyzed by the latter. The multichannel speech enhancement technology is studied in this paper, aiming at the Voice Interactive. The simulated results show the effectiveness and superiority of the improved algorithm proposed in the paper.

Info:

Periodical:

Edited by:

Yanwen Wu

Pages:

762-767

Citation:

J. X. Lu et al., "Study on Multichannel Speech Enhancement Technology in Voice Human-Computer Interaction", Advanced Materials Research, Vol. 267, pp. 762-767, 2011

Online since:

June 2011

Export:

Price:

$41.00

[1] Pu Jian tao: The key technology and future trend of the multichannel user interface, Journal of Computer Research and Development, 2001, 38 (6).

[2] Dong Shi hai: Evolution of the human-computer interaction and its challenge, Aided Design and Computer Graphics, , 2004, 16 (1).

[3] J. L. Flanagan : Computer-steered microphone arrays for sound transduction in1arge rooms, Journal of Acoustical Society of American. 1985, vol. 78, no. 5. 1508-1518.

DOI: https://doi.org/10.1121/1.392786

[4] O. L. Frost: An algorithm for linearly-constrained adaptive array processing, Proc. IEEE. Aug., 1972, vol. 60, no. 8. 926-935.

DOI: https://doi.org/10.1109/proc.1972.8817

[5] L. J. Griffths: An alternative approach to linear constrained adaptive beam forming, IEEE Transactions on Antennas Propagation. 1982, vol. 30, no. 1. 27-34.

[6] S. Gannot, D. Burshtein and E. Weinstein: Signal enhancement using beam forming and non-stationarity with application to speech, IEEE Trans. Signal Processing. Aug, 2001, vol. 49. 1614-1626.

DOI: https://doi.org/10.1109/78.934132

[7] S. Gannot, I. Cohen: Speech enhancement based on the general transfer function GSC and post filtering, 2003 IEEE International Conference on Acoustics, Speech and Signal Processing. Hong Kong. 2003. 908-911.

DOI: https://doi.org/10.1109/icassp.2003.1198929

[8] S. Gannot and I. Cohen: Speech enhancement based on the general transfer function GSC and post filtering, IEEE Transactions on Speech and Audio Processing. Nov, 2004, vol. 12, no. 6. 561-571.

DOI: https://doi.org/10.1109/tsa.2004.834599

[9] Kevin M Buckley, Lloyd J Griffiths: An adaptive generalized sidelobe canceller with derivative constraints, IEEE Trans. on Antennas and Propagation. Mar, 1986, vol. AP-34, no. 3. 311-319.

DOI: https://doi.org/10.1109/tap.1986.1143832

[10] Yongzhi Liu, Qiyue Zou and Zhiping Lin. Generalized sidelobe cancellers with leakage constraints, Circuits and Systems, ISCAS 2005. 3741-3744.

DOI: https://doi.org/10.1109/iscas.2005.1465443

[11] Osamu Hoshuyama, Akihiko Sugiyama: A robust generalized sidelobe canceller with a blocking matrix using leaky adaptive filters, Electronics and Communications in Japan. 1997, Part 3, vol. 80. 56-65.

DOI: https://doi.org/10.1002/(sici)1520-6440(199708)80:8<56::aid-ecjc7>3.0.co;2-z

[12] Yinman Lee, WenRong Wu. A robust adaptive generalized sidelobe canceller with decision feedback. IEEE Trans. on antennas and propagation. Nov, 2005, vol. 53, no. 11. 3822-3832.

DOI: https://doi.org/10.1109/tap.2005.858851

[13] Yinman Lee, WenRong Wu. An LMS-based adaptive generalized sidelobe canceller with decision feedback. IEEE International Conference on Communications. May , 2005, vol. 3. 2047-(2051).

DOI: https://doi.org/10.1109/icc.2005.1494698

[14] P. Comon. Independent component analysis. a new concept? Signal processing. 1994, vol. 36. 287-314.

DOI: https://doi.org/10.1016/0165-1684(94)90029-9