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于 2013-09-20 发布 文件大小:3KB
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  main od the mfile about spot

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    m/m/m排队模型的仿真,很好的资料!!(m/m/m queuing model of the simulation, very good information! !)
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    In this letter, we propose anovel family of windowing technique to compute mel frequency cepstral coefficient (MFCC) for automatic speaker recognition from speech. The proposed method is based on fundamental property of discrete time Fourier transform (DTFT) related to differentiation in frequency domain. Classical windowing scheme such as Hamming window
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    bp_innerloop.m Inner loop of the backpropagtion learning algorithm. One hidden layer. Uses tanh as the transfer function. Uses the following global variables for input and/or output: Inputs1 - input patterns Desired - desired output patterns LearnRate - learning rate parameter Momentum - momentum parameter DerivIncr - increment to the derivative of the transfer function (Fahlman s trick typical value 0.2) Weights1 - first weight layer (updated by this routine) Weights2 - second weight layer (updated by this routine) deltaW1 - initialize to 0 before first call deltaW2 - initialize to 0 before first call TSS - total sum-squared error (set by this routine) Recurrent state
    2013-05-18 03:38:49下载
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