mlsacheck

Functions

int main(int argc, char *argv[])

mlsacheck [ option ] [ infile ]

• -m int

  • order of mel-cepstrum $(0\le M)$

• -l int

  • FFT length $(M<L)$

• -a double

  • all-pass constant $(|\alpha |<1)$

• -P int

  • order of Pade approximation $(4\le P\le 7)$

• -e int

  • warning type

    • 0 no warning

    • 1 output index

    • 2 output index and exit immediately

• -R double

  • threshold value $(0<R)$

• -r int

  • stability condition

    • 0 keep maximum log approximation error

    • 1 keep filter stability

• -t int

  • modification type

    • 0 clipping

    • 1 scaling

• -f bool

  • fast mode

• -x bool

  • perform modification

• infile str

  • double-type mel-cepstrum

• stdout

  • double-type modified mel-cepstrum

If -R option is not specified, the threshold value is automatically determined according to the below table.

P	R (r=0)	R (r=1)	E_max [dB]
4	4.5	6.20	0.24
5	6.0	7.65	0.27
6	7.4	9.13	0.25
7	8.9	10.60	0.26

In the following example, the stability of MLSA filter of 49-th order mel-cepstral coefficients read from data.mcep are checked and modified:

mlsacheck -m 49 -a 0.55 -P 5 -l 4096 -r 1 -x data.mcep > data2.mcep

Parameters

• argc – [in] Number of arguments.

• argv – [in] Argument vector.

Returns

0 on success, 1 on failure.

See also

mglsadf imglsadf mgcep

class sptk::MlsaDigitalFilterStabilityCheck

Check stability of mel-cepstral coefficients and modify them.

The input is the $M$-th order mel-cepstrum:

$$\begin{array}{cccc}K,& \tilde{c}(1),& \dots ,& \tilde{c}(M),\end{array}$$

and the output is the modified $M$-th order mel-cepstrum:

$$\begin{array}{cccc}K,& {\tilde{c}}^{\prime }(1),& \dots ,& {\tilde{c}}^{\prime }(M).\end{array}$$

In the mel-cepstral analysis, spectral envelope is modeled by $M$-th order mel-cepstral coefficients:

$$H(z)=\exp \sum _{m=0}^M\tilde{c}(m){\tilde{z}}^{-m}$$

where

$${\tilde{z}}^{-1}=\frac{z^{-1}-\alpha }{1-\alpha z^{-1}}.$$

The $H(z)$ can be decomposed as $K\cdot D(z)$ where

$$\begin{array}{r}\begin{array}{rcl}K& =& \exp b(0),\\ D(z)& =& \exp \sum _{m=1}^{M}b(m){\Phi }_m(z),\end{array}\end{array}$$

and

$$\begin{array}{r}{\Phi }_m(z)=\{\begin{array}{ll}1,& m=0\\ {\displaystyle \frac{(1-{\alpha }^2)z^{-1}}{1-\alpha z^{-1}}{\tilde{z}}^{-(m-1)}.}& m>0\end{array}\end{array}$$

The exponential transfer function $D(z)$ is implemented by an $L$-th order rational function $R_L(\cdot )$ using the modified Pade approximation:

$$D(z)\equiv \exp F(z)\simeq R_L(F(z))$$

where

$$F(z)=\sum _{m=1}^{M}b(m){\Phi }_m(z).$$

The stability of the MLSA digital filter can be checked by the maximum magnitude of the basic filter $F(z)$. It can be simply obtained by applying the fast Fourier transform to the gain normalized mel-cepstrum sequence. In addition, by assuming that the amplitude spectrum of human speech at zero frequency usually takes maximum value, we can check the stability without FFT.

Public Types

enum ModificationType

Type of modification.

Values:

enumerator kClipping

enumerator kScaling

enumerator kNumModificationTypes

Public Functions

MlsaDigitalFilterStabilityCheck(int num_order, double alpha, double threshold)

Parameters

• num_order – [in] Order of mel-cepstrum, $M$.

• alpha – [in] All-pass constant, $\alpha$.

• threshold – [in] Threshold value.

MlsaDigitalFilterStabilityCheck(int num_order, double alpha, double threshold, int fft_length, ModificationType modification_type)

Parameters

• num_order – [in] Order of mel-cepstrum, $M$.

• alpha – [in] All-pass constant, $\alpha$.

• threshold – [in] Threshold value.

• fft_length – [in] FFT length (valid if fast_mode is true).

• modification_type – [in] Type of modification.

inline int GetNumOrder() const

Returns

Order of coefficients.

inline double GetAlpha() const

Returns

All-pass constant.

inline double GetThreshold() const

Returns

Threshold value.

inline bool GetFastModeFlag() const

Returns

True if fast mode is on.

inline int GetFftLength() const

Returns

FFT length.

inline ModificationType GetModificationType() const

Returns

Type of modification.

inline bool IsValid() const

Returns

True if this object is valid.

bool Run(const std::vector<double> &mel_cepstrum, std::vector<double> *modified_mel_cepstrum, bool *is_stable, double *maximum_amplitude_of_basic_filter, MlsaDigitalFilterStabilityCheck::Buffer *buffer) const

Parameters

• mel_cepstrum – [in] $M$-th order mel-cepstrum.

• modified_mel_cepstrum – [out] Modified $M$-th order mel-cepstrum (optional).

• is_stable – [out] True if the given coefficients are stable.

• maximum_amplitude_of_basic_filter – [out] Maximum amplitude (optional).

• buffer – [out] Buffer.

Returns

True on success, false on failure.

bool Run(std::vector<double> *input_and_output, bool *is_stable, double *maximum_amplitude_of_basic_filter, MlsaDigitalFilterStabilityCheck::Buffer *buffer) const

Parameters

• input_and_output – [inout] $M$-th order coefficients.

• is_stable – [out] True if the given coefficients are stable.

• maximum_amplitude_of_basic_filter – [out] Maximum amplitude (optional).

• buffer – [out] Buffer.

Returns

True on success, false on failure.

class Buffer

Buffer of MlsaDigitalFilterStabilityCheck.