Exploring the Foundations of Signal Processing: A Comprehensive Overview of Signal Theory, Data Processing, and Speech Processing Systems

Puneet Joshi

Puneet Joshi GKM College of Engineering & Technology, G.K.M. Nagar, Chennai

Abstract

This article provides a comprehensive exploration of signal processing, delving into its foundational aspects, including signal theory, data processing, and speech processing systems. Signal processing, encompassing both analog and digital realms, forms the backbone of various technological applications. The article begins by distinguishing analog and digital systems, highlighting their respective roles in manipulating and interpreting signals. A detailed examination of signal theory follows, elucidating key concepts such as signal representation, Fourier transform, and the Nyquist theorem. The discussion extends to data processing, unveiling techniques used in image processing and audio analysis. Special attention is given to speech processing, a specialized domain with applications ranging from speech recognition to synthetic speech generation. As we traverse the landscape of signal processing, the article underscores the pivotal role these systems play in modern technology, paving the way for future advancements in communication, data analysis, and human-machine interaction.

References

1. Oppenheim AV. Discrete-time signal processing. Pearson Education India; 1999.
2. Proakis JG. Digital signal processing: principles, algorithms, and applications, 4/E. Pearson Education India; 2007.
3. Gazi O. Understanding digital signal processing.
4. Oppenheim AV, Willsky AS, Nawab SH, Ding JJ. Signals and systems. Upper Saddle River, NJ: Prentice hall; 1997 Mar.
5. Mitra SK. Digital signal processing: a computer-based approach. McGraw-Hill Higher Education; 2001 Jul 1.
6. Stoica P, Moses RL. Spectral analysis of signals. Upper Saddle River, NJ: Pearson Prentice Hall; 2005 May.
7. Cooley JW, Lewis PA, Welch PD. The fast Fourier transform and its applications. IEEE Transactions on Education. 1969 Mar;12(1):27-34.
8. Osgood BG. Lectures on the Fourier transform and its applications. American Mathematical Soc.; 2019 Jan 18.
9. Oppenheim AV. Discrete-time signal processing. Pearson Education India; 1999.
10. Gonzalez RC. Digital image processing. Pearson education india; 2009.
11. Rabiner LR. Digital processing of speech signals. Pearson Education India; 1978.
12. Jurafsky D, Martin JH. Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition.
13. Huang X, Acero A, Hon HW, Reddy R. Spoken language processing: A guide to theory, algorithm, and system development. Prentice hall PTR; 2001 Apr 1.
14. Parsing C. Speech and language processing. Power Point Slides. 2009.
15. Quatieri TF. Discrete-time speech signal processing: principles and practice. Pearson Education India; 2002.
16. Xiong, X. I. A. O. Fundamentals of speech recognition. 2023.