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DNN_toolbox

于 2020-11-06 发布 文件大小:78029KB
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代码说明：

  语音分离用的深度神经网络工具箱，matlab，非常全 (This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).)

文件列表：

DNN_toolbox
...........\config
...........\......\list.txt,8640,2016-03-08
...........\......\list120.txt,1440,2016-03-08
...........\......\list120_short.txt,120,2016-03-08
...........\......\list600.txt,7200,2016-03-08
...........\......\list600_short.txt,120,2016-03-08
...........\DATA
...........\dnn
...........\...\main
...........\...\....\checkPerformanceOnData_no_print.m,423,2016-03-08
...........\...\....\checkPerformanceOnData_no_print_wiener.m,527,2016-03-08
...........\...\....\checkPerformanceOnData_save_IBM.m,3763,2016-03-08
...........\...\....\checkPerformanceOnData_save_wiener.m,3709,2016-03-08
...........\...\....\computeNetGradientNoRolling.m,1497,2016-03-08
...........\...\....\dnn_train.m,2356,2016-03-08
...........\...\....\forwardPass.m,1646,2016-03-08
...........\...\....\forwardPass_diff_drop_ratio.m,1433,2016-03-08
...........\...\....\funcDeepNetTrainNoRolling.m,4675,2016-03-08
...........\...\....\getOutputFromNet.m,806,2016-03-08
...........\...\....\getOutputFromNetSplit.m,585,2016-03-08
...........\...\....\stoi.m,7760,2016-03-08
...........\...\mvn_store.m,1764,2016-03-08
...........\...\pretraining
...........\...\...........\pretrainRBMStack.m,1084,2016-03-08
...........\...\...........\trainRBM.m,3150,2016-03-08
...........\...\run_every.m,1026,2016-03-08
...........\...\utility
...........\...\.......\batchComputeMeanStd.m,405,2016-03-08
...........\...\.......\compute_unit_activation.m,436,2016-03-08
...........\...\.......\compute_unit_gradient.m,414,2016-03-08
...........\...\.......\count_struct.m,188,2016-03-08
...........\...\.......\deltas.m,691,2016-03-08
...........\...\.......\format_print.m,321,2016-03-08
...........\...\.......\gather_net.m,178,2016-03-08
...........\...\.......\genBatchID.m,335,2016-03-08
...........\...\.......\getHITFA.m,217,2016-03-08
...........\...\.......\getMSE.m,82,2016-03-08
...........\...\.......\getNetParamStr.m,304,2016-03-08
...........\...\.......\initializeRandWSparse.m,374,2016-03-08
...........\...\.......\initRandW.m,111,2016-03-08
...........\...\.......\initRandWSparse.m,251,2016-03-08
...........\...\.......\make_labels.m,144,2016-03-08
...........\...\.......\make_window_buffer.m,328,2016-03-08
...........\...\.......\meanVarArmaNormalize_Test.m,177,2016-03-08
...........\...\.......\meanVarNormalize.m,244,2016-03-08
...........\...\.......\meanVarNormalize_Test.m,273,2016-03-08
...........\...\.......\mean_var_norm.m,620,2016-03-08
...........\...\.......\mean_var_norm_testing.m,279,2016-03-08
...........\...\.......\netRolling.m,396,2016-03-08
...........\...\.......\netUnRolling.m,124,2016-03-08
...........\...\.......\randInitNet.m,714,2016-03-08
...........\...\.......\randinitWbSparse.m,404,2016-03-08
...........\...\.......\relu.m,156,2016-03-08
...........\...\.......\relu_grad.m,43,2016-03-08
...........\...\.......\resyn
...........\...\.......\.....\cochleagram.m,1173,2016-03-08
...........\...\.......\.....\cochplot.m,1145,2016-03-08
...........\...\.......\.....\erb2hz.m,263,2016-03-08
...........\...\.......\.....\f_af_bf_cf.mat,1280,2016-03-08
...........\...\.......\.....\gammatone.m,1620,2016-03-08
...........\...\.......\.....\hz2erb.m,268,2016-03-08
...........\...\.......\.....\ibm.m,1685,2016-03-08
...........\...\.......\.....\loudness.m,1164,2016-03-08
...........\...\.......\.....\meddis.m,1681,2016-03-08
...........\...\.......\.....\synthesis.m,3265,2016-03-08
...........\...\.......\sigmoid.m,51,2016-03-08
...........\...\.......\sigmoid_grad.m,43,2016-03-08
...........\...\.......\softmax.m,143,2016-03-08
...........\...\.......\unroll_struct.m,296,2016-03-08
...........\...\.......\zeroInitNet.m,689,2016-03-08
...........\gen_mixture
...........\...........\generate_test_mix.m,2960,2016-03-08
...........\...........\generate_train_mix.m,3277,2016-03-08
...........\...........\get_all_noise_test.m,353,2016-03-08
...........\...........\get_all_noise_train.m,382,2016-03-08
...........\get_feat
...........\........\features
...........\........\........\ams
...........\........\........\...\AMS_init_FFT.m,1756,2016-03-08
...........\........\........\...\create_crit_filter.m,3875,2016-03-08
...........\........\........\...\env_extraction_gmt_chan2.m,346,2016-03-08
...........\........\........\...\extract_AMS_perChan.m,1975,2016-03-08
...........\........\........\...\get_amsfeature_chan_fast.m,338,2016-03-08
...........\........\........\...\mel.m,831,2016-03-08
...........\........\........\cochleagram
...........\........\........\...........\cochleagram.m,1173,2016-03-08
...........\........\........\...........\erb2hz.m,263,2016-03-08
...........\........\........\...........\f_af_bf_cf.mat,1280,2016-03-08
...........\........\........\...........\gammatone.m,1616,2016-03-08
...........\........\........\...........\hz2erb.m,268,2016-03-08
...........\........\........\...........\ibm.m,1685,2016-03-08
...........\........\........\...........\ideal.m,356,2016-03-08
...........\........\........\...........\loudness.m,1164,2016-03-08
...........\........\........\...........\meddis.m,1681,2016-03-08
...........\........\........\...........\synthesis.m,3265,2016-03-08
...........\........\........\...........\wiener.m,245,2016-03-08
...........\........\........\my_features_AmsRastaplpMfccGf.m,854,2016-03-08
...........\........\........\rastamat
...........\........\........\........\audspec.m,1266,2016-03-08

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