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[matlab] zcr DL : 1: matlab实现对声音信号短时能量，短时过零率的计算。-matlab voice signals to achieve short-term energy, zero-crossing rate of short-term calculations.
Date : 2025-12-28 Size : 1kb User : 汪小芬
[matlab] epdcoper DL : 1: end pointe detected whit the traditional algoritmh vol and ZCR, include a new algorit named Coper. end pointe detected whit the traditional algoritmh vol and ZCR, include a new algorit named Coper. -end pointe detected whit the traditional algoritmh vol and ZCR, include a new algorit named Coper. end pointe detected whit the traditional algoritmh vol and ZCR, include a new algorit named Coper. end pointe detected whit the traditional algoritmh vol and ZCR, include a new algorit named Coper.
Date : 2025-12-28 Size : 42kb User : kato
[matlab] other_features DL : 0: these are two audio features , LPC whith cepstral coefficients this a feature for speech recognition and speaker recognition , and other feature named zcr for calculate the change of the sing ( + or - ) of the signal.
Date : 2025-12-28 Size : 120kb User : kato
[matlab] 123dadas123 DL : 0: these are two audio features , LPC whith cepstral coefficients this a feature for speech recognition and speaker recognition , and other feature named zcr for calculate the change of the sing ( + or - ) of the signal.
Date : 2025-12-28 Size : 120kb User : kato
[matlab] 123dadas123asdas DL : 0: these are two audio features , LPC whith cepstral coefficients this a feature for speech recognition and speaker recognition , and other feature named zcr for calculate the change of the sing ( + or - ) of the signal.
Date : 2025-12-28 Size : 120kb User : kato
[matlab] ZCR DL : 0: autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * \sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * \sum_{i=1}^{N} X_{i} Y_bar = 1/N * \sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)-autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * \sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * \sum_{i=1}^{N} X_{i} Y_bar = 1/N * \sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)
Date : 2025-12-28 Size : 1kb User : markosovs
[matlab] ZCR DL : 0: Programm To Calculate ZCR of a Music file
Date : 2025-12-28 Size : 69kb User : PRASHANT
[matlab] Speech-Processing DL : 0: These are matlab source code for speech processing. There are ZCR, Silence Removal, DC Removal, Filtering, and also DFT.
Date : 2025-12-28 Size : 2kb User : oneiwan