An Audio Signal Processor analyze sound signals, process them and explore the signal properties. This paper is a part of the work carried out by the authors for designing the Audio Processor in MATLAB software providing basic functions to read, play and write the sound signal along with signal processing toolbox, which includes numerous functions that work on signals. A unique feature of the paper is development of Graphical user interfacing (GUI) helping users to understand the functioning and parameters of the system project and work on it in an easy way. The paper focuses on implementation of latest audio features like jazz, pop, rock, treble, bass and myfav using filters and includes the various curves like amplitude vs frequency, amplitude v/s time etc giving information about the variation of amplitude with frequency and time of signal. The paper illustrates practical aspects of FIR filter design as well, using the Filter Design Toolbox and the Signal Processing Toolbox for this purpose. The emphasis is mostly on lowpass filters, but many of the results apply to other filter types as well. The paper concludes with time domain and frequency domain analysis of the signals.

1. J. H. McClellan, R. Schafer, and M. A. Yoder, DSP First: A Multimedia Approach. New Jersey: Prentice Hall, 1998. Signal Processing First. New Jersey: Prentice Hall, 2003.
2. K. Steiglitz, A DSP Primer: with Applications to Digital Audio and Computer Music. Menlo Park: Addison Wesley, 1996.
3. P. R. Cook, Real Sound Synthesis for Interactive Applications. Massachusetts:A. K. Peters, 2002.
4. U. Z¨olzer, Ed., DAFx: Digital Audio Effects. New York: Wiley, 2002.
5. R. J. Radke and S. Kulkarni, “An integrated MATLAB suite for introductory DSP education,” in Proc. of the First Signal Processing Education Workshop, 2000.
6. M. Rahkila and M. Karjalainen, “Considerations of computer based education in acoustics and signal processing,” in Proc. of 28th ASEE/IEEE Frontiers in Education, 1998.
7. J. McCartney, “Supercollider: A new real-time sound synthesis language,” in Proc. of the Int. Computer Music Conference,
8. M. Puckette, “Pure data,” in Proc. of the Int. Computer Music Conference, 1996.
9. M. Nagrial, “Education and training in engineering software and applications,” in Int. Conference on Engineering Education, 2002
10. M. Cooke, H. Parker, G. J. Brown, and S. N. Wrigley, “The interactive auditory demonstrations project,” in Eurospeech Conference, 1999.
11. F. R. Moore, “An introduction to the mathematics of digital signal processing: Part I: Algebra, trigonometry, and the most beautiful formula in mathematics,” Computer Music Journal, vol. 2, no. 1, 1978.
12. J. Harvey, “Mortuos Plango, Vivos Voco: A realization at IRCAM,” Computer Music Journal, vol. 5, no. 2, 1981.
13. F. J. Harris, “On the use of windows for harmonic analysis with the discrete fourier transform,” in Proc. of the IEEE, vol. 66, no. 1, 1978.
14. A. Lee, “Designing a relevant lab for introductory signals and ystems,” in Proc. of the First Signal Processing Education Workshop, 2000.
15. J.Koumi, “Designing for learning—effectiveness with efficiency,” in Effective Screenwriting for Educational Television, R. Hoey, Ed. U.K.:Kogan Page Ltd., 1994, pp. 230–239.
16. B. L. Sturm, SSUM: Signal and Systems Using MATLAB; Creating an Effective Application for Teaching Media Signal Processing to Artists and Engineers, 2004, (M.S. Project) University of California, Santa Barbara, Graduate Program in Media Arts and Technology, USA.

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