基于矢量量化（VQ）的说话人识别matlab代码

[{"title":"（ 38 个子文件 1.74MB ） 基于矢量量化（VQ）的说话人识别matlab代码","children":[{"title":"TX1_1.WAV <span style='color:#111;'> 92.00KB </span>","children":null,"spread":false},{"title":"TX3_4.WAV <span style='color:#111;'> 95.20KB </span>","children":null,"spread":false},{"title":"TX4_1.WAV <span style='color:#111;'> 86.20KB </span>","children":null,"spread":false},{"title":"SX1.WAV <span style='color:#111;'> 132.00KB </span>","children":null,"spread":false},{"title":"TX1_3.WAV <span style='color:#111;'> 79.00KB </span>","children":null,"spread":false},{"title":"TX5_3.WAV <span style='color:#111;'> 99.40KB </span>","children":null,"spread":false},{"title":"dis.m <span style='color:#111;'> 336B </span>","children":null,"spread":false},{"title":"TX4_3.WAV <span style='color:#111;'> 80.80KB </span>","children":null,"spread":false},{"title":"TX1_2.WAV <span style='color:#111;'> 69.60KB </span>","children":null,"spread":false},{"title":"SX3.WAV <span style='color:#111;'> 101.20KB </span>","children":null,"spread":false},{"title":"TX5_2.WAV <span style='color:#111;'> 96.00KB </span>","children":null,"spread":false},{"title":"TX2_1.WAV <span style='color:#111;'> 86.40KB </span>","children":null,"spread":false},{"title":"vq_books.m <span style='color:#111;'> 259B </span>","children":null,"spread":false},{"title":"lbg.m <span style='color:#111;'> 1.37KB </span>","children":null,"spread":false},{"title":"SX4.WAV <span style='color:#111;'> 131.40KB </span>","children":null,"spread":false},{"title":"st_energy.m <span style='color:#111;'> 112B </span>","children":null,"spread":false},{"title":"TX5_1.WAV <span style='color:#111;'> 79.80KB </span>","children":null,"spread":false},{"title":"speaker_test.m <span style='color:#111;'> 622B </span>","children":null,"spread":false},{"title":"check_ter.m <span style='color:#111;'> 1.78KB </span>","children":null,"spread":false},{"title":"TX5_4.WAV <span style='color:#111;'> 59.00KB </span>","children":null,"spread":false},{"title":"my_mfcc.m <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false},{"title":"TX2_4.WAV <span style='color:#111;'> 121.20KB </span>","children":null,"spread":false},{"title":"TX2_3.WAV <span style='color:#111;'> 132.60KB </span>","children":null,"spread":false},{"title":"TX2_2.WAV <span style='color:#111;'> 139.40KB </span>","children":null,"spread":false},{"title":"TX1_4.WAV <span style='color:#111;'> 120.40KB </span>","children":null,"spread":false},{"title":"TX4_2.WAV <span style='color:#111;'> 61.40KB </span>","children":null,"spread":false},{"title":"zero_pass.m <span style='color:#111;'> 333B </span>","children":null,"spread":false},{"title":"TX3_1.WAV <span style='color:#111;'> 182.20KB </span>","children":null,"spread":false},{"title":"SX2.WAV <span style='color:#111;'> 233.40KB </span>","children":null,"spread":false},{"title":"TX3_3.WAV <span style='color:#111;'> 123.60KB </span>","children":null,"spread":false},{"title":"TX4_4.WAV <span style='color:#111;'> 99.40KB </span>","children":null,"spread":false},{"title":"freq2mel.m <span style='color:#111;'> 118B </span>","children":null,"spread":false},{"title":"mel_banks.m <span style='color:#111;'> 556B </span>","children":null,"spread":false},{"title":"data.mat <span style='color:#111;'> 9.67KB </span>","children":null,"spread":false},{"title":"mel2freq.m <span style='color:#111;'> 112B </span>","children":null,"spread":false},{"title":"TX3_2.WAV <span style='color:#111;'> 92.20KB </span>","children":null,"spread":false},{"title":"add_win.m <span style='color:#111;'> 518B </span>","children":null,"spread":false},{"title":"div_frame.m <span style='color:#111;'> 600B </span>","children":null,"spread":false}],"spread":true}]