Time-Frequency Analysis of Speech Signals

Time-frequency analysis of speech signals is a crucial area of research. Speech recognition technology, as one of the key technologies driving the development of intelligent and automated information societies, holds significant research importance and practical value. Through nearly five decades of intensive exploration and research, speech recognition technology has achieved remarkable progress, with some mature techniques already being applied in daily life. However, overall, speech recognition still presents considerable challenges in both research and practical applications. This article provides a comprehensive overview of speech recognition technology, covering key techniques, specific applications, and current difficulties, and includes MATLAB-based simulation analysis of individual speech samples. Code implementations focus on signal processing techniques such as Short-Time Fourier Transform (STFT) and wavelet analysis for feature extraction.