一个基于传统信号处理和机器学习的语音情绪识别系统。项目通过提取音频的MFCC、过零率、能量等声学特征，使用SVM、KNN等传统分类器对语音情绪（如高兴、愤怒、中性）进行分类识别。无需深度学习，结构清晰，运行高效，适合教学演示或资源受限场景下的语音情感分析任务。
☆19Jul 1, 2025Updated last year
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