⭐ 欢迎来到虫虫下载站! | 📦 资源下载 📁 资源专辑 ℹ️ 关于我们
⭐ 虫虫下载站

📄 stat_model.sof

📁 这是一个从音频信号里提取特征参量的程序
💻 SOF
📖 第 1 页 / 共 3 页
字号:
@ Sof v1.0 @@ symbol_hashtable 2 @load_factor = 0.75;table = {  {"S_126"}, {136}}, {  {"S_111"}, {110}}, {  {"S_21"}, {20}}, {  {"S_109"}, {108}}, {  {"S_131"}, {141}}, {  {"S_23"}, {22}}, {  {"S_129"}, {139}}, {  {"S_25"}, {24}}, {  {"S_27"}, {26}}, {  {"S_31"}, {30}}, {  {"S_29"}, {28}}, {  {"S_33"}, {32}}, {  {"S_35"}, {34}}, {  {"S_37"}, {36}}, {  {"S_39"}, {38}}, {  {"S_11"}, {10}}, {  {"S_13"}, {12}}, {  {"S_15"}, {14}}, {  {"S_17"}, {16}}, {  {"S_110"}, {109}}, {  {"S_61"}, {60}}, {  {"S_19"}, {18}}, {  {"S_108"}, {107}}, {  {"S_130"}, {140}}, {  {"S_63"}, {62}}, {  {"S_128"}, {138}}, {  {"S_65"}, {64}}, {  {"S_67"}, {66}}, {  {"S_71"}, {70}}, {  {"S_69"}, {68}}, {  {"S_73"}, {72}}, {  {"S_75"}, {74}}, {  {"S_77"}, {76}}, {  {"S_41"}, {40}}, {  {"S_79"}, {78}}, {  {"S_43"}, {42}}, {  {"S_45"}, {44}}, {  {"S_47"}, {46}}, {  {"S_51"}, {50}}, {  {"S_49"}, {48}}, {  {"S_53"}, {52}}, {  {"S_55"}, {54}}, {  {"S_57"}, {56}}, {  {"S_113"}, {112}}, {  {"S_59"}, {58}}, {  {"S_133"}, {143}}, {  {"S_81"}, {80}}, {  {"S_83"}, {82}}, {  {"S_85"}, {84}}, {  {"S_87"}, {86}}, {  {"S_91"}, {90}}, {  {"S_89"}, {88}}, {  {"S_93"}, {92}}, {  {"S_95"}, {94}}, {  {"S_97"}, {96}}, {  {"S_112"}, {111}}, {  {"S_99"}, {98}}, {  {"S_132"}, {142}}, {  {"S_115"}, {114}}, {  {"S_135"}, {117}}, {  {"S_114"}, {113}}, {  {"S_134"}, {116}}, {  {"S_117"}, {127}}, {  {"S_137"}, {119}}, {  {"S_2"}, {1}}, {  {"S_3"}, {2}}, {  {"S_116"}, {115}}, {  {"S_136"}, {118}}, {  {"S_1"}, {0}}, {  {"S_6"}, {5}}, {  {"S_7"}, {6}}, {  {"S_101"}, {100}}, {  {"S_119"}, {129}}, {  {"S_20"}, {19}}, {  {"S_4"}, {3}}, {  {"S_139"}, {121}}, {  {"S_121"}, {131}}, {  {"S_22"}, {21}}, {  {"S_141"}, {123}}, {  {"S_24"}, {23}}, {  {"S_26"}, {25}}, {  {"S_30"}, {29}}, {  {"S_28"}, {27}}, {  {"S_5"}, {4}}, {  {"S_32"}, {31}}, {  {"S_34"}, {33}}, {  {"S_36"}, {35}}, {  {"S_38"}, {37}}, {  {"S_10"}, {9}}, {  {"S_12"}, {11}}, {  {"S_14"}, {13}}, {  {"S_16"}, {15}}, {  {"S_100"}, {99}}, {  {"S_118"}, {128}}, {  {"S_8"}, {7}}, {  {"S_60"}, {59}}, {  {"S_18"}, {17}}, {  {"S_138"}, {120}}, {  {"S_120"}, {130}}, {  {"S_62"}, {61}}, {  {"S_140"}, {122}}, {  {"S_64"}, {63}}, {  {"S_66"}, {65}}, {  {"S_9"}, {8}}, {  {"S_70"}, {69}}, {  {"S_68"}, {67}}, {  {"S_72"}, {71}}, {  {"S_74"}, {73}}, {  {"S_76"}, {75}}, {  {"S_40"}, {39}}, {  {"S_78"}, {77}}, {  {"S_42"}, {41}}, {  {"S_44"}, {43}}, {  {"S_46"}, {45}}, {  {"S_50"}, {49}}, {  {"S_48"}, {47}}, {  {"S_52"}, {51}}, {  {"S_54"}, {53}}, {  {"S_56"}, {55}}, {  {"S_103"}, {102}}, {  {"S_58"}, {57}}, {  {"S_123"}, {133}}, {  {"S_143"}, {125}}, {  {"S_80"}, {79}}, {  {"S_82"}, {81}}, {  {"S_84"}, {83}}, {  {"S_86"}, {85}}, {  {"S_90"}, {89}}, {  {"S_88"}, {87}}, {  {"S_92"}, {91}}, {  {"S_94"}, {93}}, {  {"S_96"}, {95}}, {  {"S_102"}, {101}}, {  {"S_98"}, {97}}, {  {"S_122"}, {132}}, {  {"S_142"}, {124}}, {  {"S_105"}, {104}}, {  {"S_125"}, {135}}, {  {"S_104"}, {103}}, {  {"S_124"}, {134}}, {  {"S_144"}, {126}}, {  {"S_107"}, {106}}, {  {"S_127"}, {137}}, {  {"S_106"}, {105}};@ stat_models 2 @values = {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {  name = "MixtureModel";  weights = 1;  models = {    name = "GaussianModel";    mean = 0;    covariance = {      type = "DIAGONAL";      num_rows = 1;      num_cols = 1;      values = 1;    };  };}, {

⌨️ 快捷键说明

复制代码 Ctrl + C
搜索代码 Ctrl + F
全屏模式 F11
切换主题 Ctrl + Shift + D
显示快捷键 ?
增大字号 Ctrl + =
减小字号 Ctrl + -