Explore MATLAB source code curated for "语音情感识别" with clean implementations, documentation, and examples.
This collection of MATLAB programs implements the innovative research topic of "Speech Emotion Recognition for Specific Population Groups." The implementation includes feature extraction algorithms, machine learning classifiers, and specialized preprocessing techniques tailored for targeted demographic segments. For comprehensive technical details, please refer to the research paper included in the compressed package.
This MATLAB-based source code implements speech emotion recognition, capable of analyzing human speech patterns and identifying emotional states such as happiness, sadness, and more through feature extraction and classification algorithms.
Implementing emotion recognition from speech using machine learning algorithms in MATLAB with excellent performance results, highly recommended for practical applications featuring code implementation insights and algorithm explanations.
A MATLAB-based implementation of speech emotion recognition leveraging Dynamic Time Warping (DTW) algorithm for effective emotion classification through acoustic signal analysis.