Development of Educational Software SSP for Speech Signal Processing

The speech signal processing course emphasizes both theory and practice in the field of electronic information. Its extensive content and rich applications have brought great challenges to teaching. Therefore, the design of an educational software for speech signal processing is of great significance to help students understand the basic principles and applications of speech signal processing. Based on the MATLAB platform, this paper designs a software named SSP for speech signal processing, which can realize the functions of speech signal sampling, time domain analysis, frequency domain analysis, feature extraction, speech enhancement and quantization coding. It enables students to better master the knowledge of speech signal processing through an intuitive, friendly and interactive visual human-computer interface. After using this educational software, students' learning enthusiasm is improved, and their cognition and understanding of speech signal processing are also significantly enhanced.