-1.60843 -2.96195 0.767074 0.297315 -1.31928 -0.458739 0.463367 0.771359 2.33096 -0.515994 -1.07257 -0.0636077 0.544206
-1.34724 -3.65088 0.510764 0.661205 -1.01407 -0.258047 0.148679 0.261489 2.60204 0.820283 -0.584417 -0.547085 0.091204
-0.110213 -3.53923 -0.81646 -0.309396 0.364564 0.408727 -0.601959 -0.501898 1.17222 0.977574 1.03489 0.578168 -0.119561
-0.183723 -2.39149 -1.56432 -0.916596 0.854704 0.878039 0.426274 -0.271071 0.972622 0.445191 0.795002 -0.0155784 0.428154
1.23907 -1.96095 -1.61969 -0.903046 0.453549 0.806001 0.435087 -0.57968 0.105694 -0.0289847 0.312114 -0.103756 0.253991
0.262772 -2.3245 -1.24442 -0.984443 0.178896 0.772273 0.426512 -0.144106 0.841217 0.0464012 0.72637 0.48158 0.0584531
1.96488 -0.285078 -0.674295 -0.920062 0.259989 0.726306 0.106829 0.0686125 0.231035 -0.0463918 0.220354 0.0219713 -0.352614
1.6664 -0.263222 -0.646085 -1.30772 -1.30147 -0.423897 -0.0463771 -0.0198382 0.568005 0.777207 0.642131 0.336613 0.382454
0.112313 -2.11856 -1.46426 -1.27809 0.725605 -0.686692 0.384172 0.23844 0.701143 -0.0917765 -0.262338 -0.6241 0.26977
-1.94084 -0.769383 -0.859228 -0.509965 1.44032 -1.66446 -0.586533 0.401903 1.69791 0.996249 -0.5548 -0.842189 0.0490559
-1.33361 -1.17369 -1.07476 -0.223135 1.09 -1.74819 0.437962 0.3166 2.1619 0.351123 -0.883214 -0.785764 -0.213121
-1.24433 -1.57218 -2.20018 -0.946221 1.09814 0.181885 1.9716 0.705302 0.0877502 -1.28539 -0.371113 0.788953 0.433364
0.680912 -0.737065 -1.67303 -2.08565 0.336962 0.935879 1.58154 0.421758 0.0893622 -0.711141 -0.458181 0.00719062 0.411383
-0.67963 -1.50841 -0.882815 -1.28926 0.406537 0.51742 1.23298 0.123062 0.858739 -0.0180963 -0.0898063 0.0713107 0.427579
0.646517 -2.1731 -0.935434 -1.67181 -0.165495 0.0908435 0.545737 1.18736 0.840526 -0.713556 -0.249998 -0.00517377 0.513746
0.22039 -2.40372 -1.15594 -1.16708 0.343106 0.178114 -1.09149 -0.191765 1.55245 1.16829 1.02316 0.119522 -0.0348768
1.63228 -1.70426 -1.84149 -1.57426 0.152568 0.351538 0.275857 -0.320163 0.284039 0.029557 0.751821 0.438838 0.964906
1.16757 -2.51143 -0.978973 -0.492603 -0.162809 -0.17862 0.583836 -1.43331 -0.841009 0.579419 1.8386 1.09241 0.407958
-0.792182 -2.36772 -0.360414 -1.12474 0.689189 0.650382 -0.433144 -1.33515 -0.618557 0.516914 2.041 1.20915 0.539899
-0.79461 -0.967391 -1.15142 -1.52993 1.43941 0.397765 1.16063 -1.60738 -1.15311 -0.122141 1.04305 1.43826 0.73179
-0.596552 -0.642264 -1.98483 -1.19433 0.998742 0.377051 1.24928 -1.53189 -0.583768 -0.613639 0.463886 1.5531 1.0911
-0.238097 -0.349618 -2.08333 -1.07564 1.08353 0.0135126 1.23885 -1.70011 -0.229162 -0.753862 0.558159 0.990515 1.25684
-0.446708 -0.363946 -1.94155 -1.10701 0.578046 0.0318586 1.14226 -1.51781 -0.282453 -0.938115 0.931149 0.919408 1.22893
-0.0865279 -0.436729 -2.29035 -1.46611 0.529008 0.261523 1.40691 -0.598876 0.083275 -1.15756 0.0503341 0.253333 1.04875
-0.231888 -1.56192 -2.26607 -0.48932 1.25965 -0.42422 0.373385 -0.702536 1.0712 0.481212 0.384519 -0.401155 0.746736
-1.08004 -2.74495 0.799552 -0.149295 0.0942319 -0.203729 0.833641 -0.213449 0.580044 -0.447122 0.241936 -0.427756 -0.0409682
-1.10111 -2.87694 1.12816 -0.447822 -0.738697 0.00310975 0.218445 -0.260542 0.445316 -0.498029 0.0803076 -0.584996 -0.384829
-1.90395 -2.57219 1.21221 -0.585072 -0.498943 0.206036 0.238756 -0.387174 -0.0329698 -0.819063 0.0568207 0.0132339 1.38706
-1.74015 -2.90433 1.21024 -0.41657 0.246173 -0.303239 0.0537799 -0.031782 -0.722739 -0.176457 0.00797678 0.199844 1.74201
-2.22341 -2.23395 -0.4756 -0.189445 1.51116 -0.813538 0.366058 0.267296 -0.0908644 -0.196782 -0.364836 0.252372 0.849188
-2.04374 -1.88061 -0.481677 -0.594478 1.61379 -1.02222 0.478201 0.256543 0.00344345 -0.00891231 -0.306703 0.380111 1.42758
-1.79697 -2.26172 -0.286465 -0.668085 0.883058 -0.155194 -0.0146617 0.31157 0.232498 -0.432808 -0.366571 0.13491 1.10931
-0.149947 -1.83018 0.0482901 -1.97284 0.0377684 0.309061 0.513261 -0.236493 0.0539229 -0.318562 -0.186375 0.076433 0.710717
-1.10618 -1.5668 0.901086 -2.08655 -0.511585 0.448504 0.910803 0.472429 -0.455107 -0.806491 -0.878107 0.286894 0.732785
-0.413053 -1.69775 0.585092 -2.15521 -0.626361 0.491674 0.489356 0.41666 0.109991 -0.443245 -0.67361 0.18667 0.494326
-0.601385 -2.67346 -0.369338 -0.965016 0.819859 0.453478 0.120422 -0.0852378 0.336578 -0.833619 -0.300313 -0.304069 0.700638
-0.0249389 -1.38293 -0.130219 -2.10619 -0.118007 -0.00616153 0.626881 1.14373 -0.280398 -1.10324 -0.170607 0.145243 0.543711
0.126686 -1.89096 -0.980419 -1.70201 0.721702 0.173799 0.491314 0.775003 -0.0129466 -0.51301 -0.0663421 -0.467518 0.0852904
-1.68747 -3.33062 0.278643 -0.823129 0.602552 0.0430179 0.277353 0.880486 1.03188 0.109942 -0.227325 -1.03147 -0.363434
-1.53013 -3.02393 1.18592 -0.689812 -0.725115 0.293931 -0.464784 0.284632 1.07365 -0.215405 -0.329974 -0.404692 -0.0544581
-1.71546 -3.28849 1.13562 -0.553768 -0.339892 0.851566 -0.0940291 0.160863 1.22482 -0.136009 -0.556334 -0.602671 -0.121479
-1.64694 -2.50014 1.41823 -0.624566 -0.434296 -0.11885 -0.613743 0.195261 1.07276 -0.306326 -0.514281 -0.642218 -0.265192
-1.17161 -2.49638 0.13853 -0.980985 0.624489 0.167687 0.220784 0.0731861 0.574385 -0.398162 0.287284 -0.816333 -0.0686785
0.125836 -2.09488 -0.570378 -1.31507 0.421958 0.0330966 0.606154 1.2277 -0.253531 -0.277451 0.00401895 -0.871429 -0.123828
0.128819 -1.94718 -1.11068 -0.999038 1.02642 -0.179502 -0.0951132 0.187683 0.33969 -0.173429 -0.525292 -1.00839 0.231886
0.307269 -1.35252 -0.861213 -0.96548 0.606505 -0.245916 -0.0753904 -0.194428 0.86515 -0.224382 0.0985387 0.16424 0.426017
-0.868437 -0.725565 -0.283632 -1.00198 0.478893 -0.253618 0.541846 -0.0687677 0.626263 0.236781 0.473063 -0.0211463 0.201435
-0.345527 -0.918666 -0.0757023 -0.359865 -0.0322223 -0.133739 0.315167 0.0779786 0.725745 0.492788 0.417976 -0.00954655 0.307533
-0.170661 -1.29488 -0.40634 -0.784905 0.475541 0.222392 0.420286 0.187096 0.535424 0.218719 0.321642 -0.0078208 0.293761
1.62498 -2.19705 -0.850746 -1.23767 -0.016688 -0.134032 -0.24476 -0.49564 0.406915 -0.0675284 0.0716714 -0.0540207 0.540547
-1.24219 -2.92306 -0.000879831 -1.47718 0.188392 0.944028 0.0375207 0.521718 1.05732 -0.0922368 -0.256169 -0.622586 -0.376302
-0.844431 -2.7288 -0.183502 -1.94198 0.161144 0.977684 -0.0397207 0.238672 0.801378 0.358287 0.0957312 -0.692839 -0.785368
-1.22709 -1.77235 -0.39023 -2.17761 0.545908 0.126111 0.809267 1.18411 0.329633 -0.00616477 -0.610825 -0.954917 0.0919314
-0.287201 -0.241318 -0.777042 -1.39772 0.361822 0.229533 0.865719 0.18708 0.545179 -0.611141 -0.103719 -0.355304 0.176423
-1.00674 -0.772742 -0.679267 -0.852721 0.257992 0.274063 0.909051 0.157267 0.734465 -0.0186034 0.445397 0.194347 0.483838
-1.37527 -0.779073 0.23919 -0.747974 0.581531 0.0886402 0.919761 -0.088087 0.354223 -0.00306788 0.0148368 0.217245 0.388706
0.64665 -1.60232 -1.37608 -1.48548 0.777888 -0.553056 0.0596892 0.212556 -0.0725222 -0.501929 -0.311544 -0.231501 0.37515
0.0282336 -2.29411 -1.74364 -0.9813 1.06929 -0.114605 0.350174 0.46598 0.707647 0.216838 0.745505 -0.41286 -0.686181
0.389268 -1.91055 -1.59274 -0.854541 0.548357 -0.34307 0.413402 0.468322 0.323063 0.0794953 0.432096 -0.677872 -0.735345
0.763443 -1.55366 -1.16605 -1.28663 0.52136 -0.343383 0.234372 0.824293 -0.0129132 0.0017609 0.122014 -0.640013 -0.733929
0.667192 -1.77976 -0.986738 -1.19798 0.454957 -0.386848 0.604158 1.21303 0.0534236 0.369108 0.0794346 -1.01296 -0.684032
1.59879 -1.46542 -1.30847 -0.936051 -0.0654833 -0.44666 0.323228 0.484489 0.368255 0.418686 0.091485 -0.847518 -0.456848
1.33232 -0.839446 -0.74132 -1.20339 0.159906 0.0819256 0.136215 0.139365 0.392186 -0.108312 0.204698 -0.475578 -0.221219
0.23278 -0.493944 -0.299409 -0.82062 -0.0956321 0.183428 0.552734 0.170451 0.284631 -0.135825 0.371673 -0.367905 -0.0670088
-0.178037 -0.623667 -0.129679 -0.588781 -0.160912 -0.239572 0.465152 0.241048 0.229652 0.552902 0.924721 0.491892 0.121151
MFCC特征提取C++源程序
5星 · 超过95%的资源 需积分: 11 77 浏览量
2009-03-19
11:50:52
上传
评论 9
收藏 3.73MB RAR 举报
xingxiubj
- 粉丝: 0
- 资源: 1
最新资源
- Picasso_v3.1 2.ipa
- chromedriver-mac-arm64.zip
- 蓝zapro.apk
- chromedriver-linux64.zip
- UCAS研一深度学习实验-MNIST手写数字识别python源码+详细注释(高分项目)
- 基于Python和PyTorch框架完成的一个手写数字识别实验源码(带MINIST手写数字数据集)+详细注释(高分项目)
- 基于Matlab在MNIST数据集上利用CNN完成手写体数字识别任务,并实现单层CNN反向传播算法+源代码+文档说明(高分项目)
- NVIDIA驱动、CUDA和Pytorch及其依赖
- 基于SVM多特征融合的微表情识别python源码+项目说明+详细注释(高分课程设计)
- html动态爱心代码一(附源码)
资源上传下载、课程学习等过程中有任何疑问或建议,欢迎提出宝贵意见哦~我们会及时处理!
点击此处反馈
- 1
- 2
- 3
- 4
- 5
- 6
前往页