基于高斯混合模型的说话人识别matlab代码实现

[{"title":"（ 15 个子文件 2.68MB ） 基于高斯混合模型的说话人识别matlab代码实现","children":[{"title":"11.2 基于高斯混合模型（GMM）的说话人识别实验","children":[{"title":"gmm_init.m <span style='color:#111;'> 3.11KB </span>","children":null,"spread":false},{"title":"enframe.m <span style='color:#111;'> 1.13KB </span>","children":null,"spread":false},{"title":"rdct.m <span style='color:#111;'> 946B </span>","children":null,"spread":false},{"title":"melbankm.m <span style='color:#111;'> 8.41KB </span>","children":null,"spread":false},{"title":"recog.m <span style='color:#111;'> 1.23KB </span>","children":null,"spread":false},{"title":"rfft.m <span style='color:#111;'> 723B </span>","children":null,"spread":false},{"title":"mel2frq.m <span style='color:#111;'> 559B </span>","children":null,"spread":false},{"title":"speaker.mat <span style='color:#111;'> 196.12KB </span>","children":null,"spread":false},{"title":"frq2mel.m <span style='color:#111;'> 562B </span>","children":null,"spread":false},{"title":"tra_data.mat <span style='color:#111;'> 1.77MB </span>","children":null,"spread":false},{"title":"melcepst.m <span style='color:#111;'> 3.48KB </span>","children":null,"spread":false},{"title":"train.m <span style='color:#111;'> 1.15KB </span>","children":null,"spread":false},{"title":"rec_data.mat <span style='color:#111;'> 739.42KB </span>","children":null,"spread":false},{"title":"gmm_em.m <span style='color:#111;'> 1.12KB </span>","children":null,"spread":false},{"title":"calcpost.m <span style='color:#111;'> 1.01KB </span>","children":null,"spread":false}],"spread":false}],"spread":true}]