Explore MATLAB source code curated for "语音分析" with clean implementations, documentation, and examples.
A comprehensive speech analysis program featuring decomposition and reconstruction using a gammatone filterbank implementation, providing valuable learning resources for speech analysis techniques and auditory modeling.
A MATLAB software tool for speech analysis developed by the Department of Electrical Engineering at the University of Texas, featuring algorithms for spectral analysis, feature extraction, and speech recognition applications.
A comprehensive MATLAB toolkit for speech analysis developed by the Electrical Engineering Department at the University of Texas, featuring time-domain analysis, spectrogram visualization, fundamental frequency extraction, and formant measurement capabilities with implementation-focused documentation.
Linear Predictive Analysis (LPA) stands as one of the most fundamental techniques in modern speech signal processing. It has significantly contributed to the rapid advancement of speech technology and finds extensive applications in speech analysis, synthesis, coding, and recognition. The method involves predicting future signal samples using a linear combination of past samples, typically implemented through algorithms like Levinson-Durbin recursion to solve autocorrelation equations efficiently.