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Description: 对一帧YUV为4:2:0的图象进行DCT变化和量化以及进行反变换和反量化，并在dos下显示出一个4*4矩阵的变化和量化过程
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Size: 133661 |
Author: andy |
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Description: matlab实现对声音信号短时能量，短时过零率的计算。
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Size: 1279 |
Author: 汪小芬 |
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Description: 对一帧YUV为4:2:0的图象进行DCT变化和量化以及进行反变换和反量化，并在dos下显示出一个4*4矩阵的变化和量化过程-Of a YUV to 4:2:0 image and quantify changes to DCT, as well as anti-transform and Inverse Quantization, and under dos shows a 4* 4 matrix of the process of change and to quantify
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Size: 327680 |
Author: andy |
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Description: 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.
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Size: 1024 |
Author: 汪小芬 |
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Description: 数字语音的短时分析中的部分功能函数：包括短时能量、短时过零、短时幅度、短时幅度差。-Short-term analysis of digital voice some function: including short-term energy, zero short-term, short-term rate, short-time magnitude difference.
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Size: 1024 |
Author: xxh |
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Description: End POint detection algorithm using Energy-ZCR
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Size: 1024 |
Author: alok |
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Description: 同一种思想，三种实现方法，求语音信号的短时过零率，并相互验证。运行无误-three roads to the ZCR(zero-cross rate) of speech signal according to its defination.
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Size: 1024 |
Author: han |
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Description: end point detected energy and zcr
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Size: 1144832 |
Author: kato |
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Description: 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.
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Size: 43008 |
Author: kato |
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Description: 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.
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Size: 122880 |
Author: kato |
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Description: 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.
Platform: |
Size: 122880 |
Author: kato |
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Description: 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.
Platform: |
Size: 122880 |
Author: kato |
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Description: 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)
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Size: 1024 |
Author: markosovs |
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Description: zcr : ampzcr.m -- short time energy and zero crossing rate program
vad.m -- endpoint detection
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Size: 246784 |
Author: gerayli |
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Description: zero crossing rate for detecting zero crossing instants
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Size: 1024 |
Author: smail |
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Description: Programm To Calculate ZCR of a Music file
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Size: 70656 |
Author: PRASHANT |
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Description: using wave file to compute preprocessing, short term energy, zero crossing rate, signal_ste, stzcr
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Size: 49152 |
Author: vino |
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Description: 針對語音特徵進行ZCR的VAD辨識。簡單易懂(ZCR VAD identification for speech features. easy to understand)
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Size: 2048 |
Author: goodall |
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Description: 語音辨識最需要的就是VAD，我們透過ZCR完成這樣的工作(Voice recognition is the most needed VAD, we completed this work through the ZCR)
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Size: 3072 |
Author: goodall |
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Description: 过零率 (zero-crossing rate,ZCR)是指一个信号的符号变化的比率，例如信号从正数变成负数或反向。 这个特征在语音对比、语音识别和音乐信息检索(music information retrieval)领域得到广泛使用。(Zero-crossing rate (ZCR) refers to the rate at which a signal changes sign, for example, the signal changes from positive to negative or negative. This feature is widely used in the areas of voice comparison, speech recognition and music information retrieval.)
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Size: 1024 |
Author: Amiee_ |
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