Digital Speech Processing with MATLAB Simulation

In this article, I will further explore digital speech processing and its applications in modern technology. Digital speech processing is a broad field encompassing multiple aspects including speech signal acquisition, analysis, processing, and synthesis. Within this domain, we utilize various tools and techniques such as digital signal processing, machine learning, and artificial intelligence. One prominent application area is speech recognition, which has become a crucial component of artificial intelligence systems.

To better understand digital speech processing, I will introduce commonly used tools and techniques like MATLAB. MATLAB is a powerful mathematical software platform capable of performing diverse numerical computations and data visualization tasks. In digital speech processing, MATLAB serves as an essential tool for implementing various algorithms and techniques. The platform's Signal Processing Toolbox provides key functions for spectral analysis, filtering, and feature extraction crucial for speech applications. To facilitate your learning journey, I have prepared complete source code from Zhang Xueying's work, which covers multiple aspects of digital speech processing with comprehensive chapter-by-chapter implementations. The code includes practical examples of fundamental operations like framing windowing, FFT-based spectral analysis, LPC coefficient extraction, and MFCC feature calculation - all essential for building speech processing systems.