Advances in Audio and Speech Signal Processing: Technologies by Hector Perez Meana

By Hector Perez Meana

Audio and speech processing have completed very important prestige in improvement within the final 3 many years, bettering the traditional of dwelling of many folks. relating to those functions, a number of sign processing algorithms were constructed to help the speech impaired and increase the educational skill of youngsters. Advances in Audio and Speech sign Processing: applied sciences and functions presents a entire technique of sign processing instruments in regards to the enhancement, attractiveness, and safety of speech and audio indications. Advances in Audio and Speech sign Processing: applied sciences and purposes bargains researchers and practitioners the knowledge they should boost and enforce effective sign processing algorithms within the enhancement box.

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9 Figure 9. 5 Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. TEAM LinG  Jovanovc Dolecek & Fernandez Vazquez Figure 9. 9 Figure 10. Echo signals for different values of delays D=500 3 3 2 2 1 1 0 0 -1 -1 -2 -2 -3 -3 -4 -4 0 500 1000 1500 2000 2500 D=2000 4 Amplitude Amplitude 4 3000 3500 4000 4500 5000 0 1000 2000 3000 D=4000 7000 3 2 Amplitude 2 Amplitude 6000 D=6000 4 3 1 0 1 0 -1 -1 -2 -2 -3 5000 (b) D=2000 (a) D=500 4 4000 Time Time -3 0 1000 2000 3000 4000 5000 Time (c) D=4000 6000 7000 8000 9000 0 2000 4000 6000 8000 10000 12000 Time (d) D=6000 Copyright © 2007, Idea Group Inc.

Instead of adding the echo, we can subtract it to obtain: y (n) = x(n) − ax(n − D). (11) From Equation (11) the corresponding system function of the filter is: H ( z ) = 1 − az − D, (12) Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited. TEAM LinG  Jovanovc Dolecek & Fernandez Vazquez Figure 12. Echo signals for different values of delays D=500 3 3 2 2 1 1 0 0 -1 -1 -2 -2 -3 -3 -4 D=2000 4 Amplitude Amplitude 4 -4 0 500 1000 1500 2000 2500 3000 3500 4000 4500 5000 0 1000 2000 3000 (a) D=500 3 2 2 Amplitude Amplitude 6000 7000 D=6000 4 3 1 0 1 0 -1 -1 -2 -2 -3 5000 (b) D=2000 D=4000 4 4000 Time Time -3 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 0 Time (c) D=4000 2000 4000 6000 8000 10000 12000 Time (d) D=6000 where z is the complex value and the transfer function is: H (e j ) = 1 − ae − j D.

Single channel active noise canceller algorithm using discrete cosine transform. Journal of Signal Processing, 9(2), 141-151. , & Kim, H. (2003). Modified patchwork algorithm: A novel audio watermarking scheme. IEEE Transactions on Speech and Audio Processing, 11(4), 381-386. , & Stearns, S. (1985). Adaptive signal processing. Englewood Cliffs, NJ: Prentice Hall. Copyright © 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission of Idea Group Inc. is prohibited.

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