gnorm
Functions
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int main(int argc, char *argv[])
gnorm [ option ] [ infile ]
-m int
order of coefficients \((0 \le M)\)
-g double
gamma \((|\gamma| \le 1)\)
-c int
gamma \(\gamma = -1 / C\) \((1 \le C)\)
infile str
double-type generalized cepstral coefficients
stdout
double-type normalized generalized cepstral coefficients
The below example normalizes generalized cepstral coefficients:
gnorm -g -0.5 < data.gc > data.ngc
The normalized generalized cepstral coefficients can be reverted by
ignorm -g -0.5 < data.ngc > data.gc
- Parameters
argc – [in] Number of arguments.
argv – [in] Argument vector.
- Returns
0 on success, 1 on failure.
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class sptk::GeneralizedCepstrumGainNormalization
Convert generalized cepstral coefficients to normalized generalized cepstral coefficients.
The input is the \(M\)-th order generalized cepstral coefficients:
\[ \begin{array}{cccc} c_\gamma(0), & c_\gamma(1), & \ldots, & c_\gamma(M), \end{array} \]and the output is the \(M\)-th order normalized generalized cepstral coefficients:\[ \begin{array}{cccc} K, & c'_\gamma(1), & \ldots, & c'_\gamma(M), \end{array} \]where \(K\) is the gain represented as\[\begin{split} K = \left\{ \begin{array}{ll} (1 + \gamma\,c_\gamma(0))^{1/\gamma}, \quad & 0 < |\gamma| \le 1 \\ \exp \, c_\gamma(0). & \gamma = 0 \end{array} \right. \end{split}\]The normalized generalized cepstral coefficients are obtained as follows:\[ c'_\gamma(m) = \frac{c_\gamma(m)}{1 + \gamma \, c_\gamma(0)}. \][1] T. Kobayashi and S. Imai, “Spectral analysis using generalized cepstrum,” IEEE Transactions on Acoustics, Speech, and Signal Processing, vol. 32, no. 5, pp. 1087-1089, 1984.
Public Functions
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GeneralizedCepstrumGainNormalization(int num_order, double gamma)
- Parameters
num_order – [in] Order of coefficients, \(M\).
gamma – [in] Exponent parameter, \(\gamma\).
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inline int GetNumOrder() const
- Returns
Order of coefficients.
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inline double GetGamma() const
- Returns
Exponent parameter.
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inline bool IsValid() const
- Returns
True if this object is valid.
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bool Run(const std::vector<double> &generalized_cepstrum, std::vector<double> *normalized_generalized_cepstrum) const
- Parameters
generalized_cepstrum – [in] \(M\)-th order cepstral coefficients.
normalized_generalized_cepstrum – [out] \(M\)-th order normalized cepstral coefficients.
- Returns
True on success, false on failure.
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bool Run(std::vector<double> *input_and_output) const
- Parameters
input_and_output – [inout] \(M\)-th order coefficients.
- Returns
True on success, false on failure.
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GeneralizedCepstrumGainNormalization(int num_order, double gamma)