Design and Implementation of Real-Time Audio Transmission System

Article Preview

Abstract:

Continuous Multi-channel digital audio signals system not only guarantees the continuity of signal acquisition, but has the real-time control ability in the process of signal acquisition. This paper proposes the producer/consumer design pattern which can make program designing quicker, simpler and more efficient. Through the example of continuous sound signal acquisition, the designing idea for the Producer/consumer design pattern is described in details and the design process of this program on the Delphi platform is given. The result shows that the introduction of the producer/consumer design pattern in the use of program design which has serious request in real-time and continuous sound signal acquisition and playing can make the processes response faster and more efficient.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 433-440)

Pages:

2887-2891

Citation:

Online since:

January 2012

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2012 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] ZHOU Jing-li. Multimedia computer sound card technology and applications. Beijing: Electronic Industry Press, (1998).

Google Scholar

[2] ST Audio Corporation. DSP2000 a Cport User'S Guide. ST Audio Co., Ltd, (2002).

Google Scholar

[3] Microsoft Corporation. Win32 Programmer's Reference Encyclopaedia (2). Beijing: Tsinghua University Press, (1995).

Google Scholar

[4] Jessica Keyes. , Eds, Translated by Yang Shiqiang. Multimedia Manual. Beijing: Electronic Industry Press, (1996).

Google Scholar

[5] Xingzeng Ping. Delphi6. 0 best album. Beijing: Posts & Telecom Press, (2002).

Google Scholar

[6] D. Schwarz, New developments in data-driven concatenative sound synthesis, in Proc. Int. Computer Music Conference, (2003).

Google Scholar

[7] D. Suendermann, H. Hoege, A. Bonafonte, H. Ney, A. Black, and SNarayanan, Text-independent voice conversion based on unit selection, in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Toulouse, 2006, pp.81-84.

DOI: 10.1109/icassp.2005.1415038

Google Scholar

[8] A. Mouchtaris, Y. Agiomyrgiannakis, and Y. Stylianou, Conditional Vector Quantization for Voice Conversion, in Proc. IEEE Int. Conf. on Acoustics, Speech, and Signal Processing (ICASSP), Honolulu, HI, 2007, pp.505-508.

DOI: 10.1109/icassp.2007.366960

Google Scholar

[9] G, Strang and T. Nguyen, Wavelets and Filter Banks, Wellesley-Cambridge, (1996).

Google Scholar

[10] Y. Stylianou, O. Cappe and E. Moulines, Continuous probabilistic transform for voice conversion, IEEE Transactions on Speech and Audio Processing, vol. 6, no. 2, pp.131-142, March (1998).

DOI: 10.1109/89.661472

Google Scholar

[11] A. Kain and M. W. Macon, Spectral voice conversion for text-tospeech synthesis, IEEE Proc. Int. Conf. Acoustics, Speech and Signal Processing (ICASSP), Seattle, WA, 1998, pp.285-289.

DOI: 10.1109/icassp.1998.674423

Google Scholar

[12] D. Cantzos, A. Mouchtaris, and C. Kyriakakis, Multichannel audio resynthesis based on a Generalized Gaussian mixture model and cepstralsmoothing, in Proc. IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), New Paltz, NY, 2005, pp.215-218.

DOI: 10.1109/aspaa.2005.1540208

Google Scholar

[13] R. Moddemeijer, On Estimation of Entropy and Mutual Information of Continuous Distributions, Signal Processing, vol. 16, no. 3, pp.233-246, March (1989).

DOI: 10.1016/0165-1684(89)90132-1

Google Scholar

[14] Methods for Objective Measurements of Perceptual Audio Quality.

Google Scholar

[15] International Telecommunications Union, Geneva, Switzerland, ITU-RRec. BS. 1387, (1999).

Google Scholar

[16] W.C. Treurniet and G.A. Soulodre, Evaluation of the ITU-R objective audio quality measurement method, Journal of Audio Eng. Soc., vol. 48, no. 3, pp.164-173, March (2000).

Google Scholar