imglsadf

Functions

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

imglsadf [ option ] mgcfile [ infile ]

• -m int

  • order of coefficients $(0\le M)$

• -a double

  • all-pass constant $(|\alpha |<1)$

• -c int

  • gamma $\gamma =-1/C$ $(0\le C)$

• -p int

  • frame period $(1\le P)$

• -i int

  • interpolation period $(0\le I\le P/2)$

• -P int

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

• -t

  • transpose filter

• -k

  • filtering without gain

• mgcfile str

  • double-type mel-generalized cepstral coefficients

• infile str

  • double-type input sequence

• stdout

  • double-type output sequence

Parameters:

• argc – [in] Number of arguments.

• argv – [in] Argument vector.

Returns:

0 on success, 1 on failure.

See also

mglsadf mgcep

class InverseMglsaDigitalFilter

Apply inverse MLSA filter to speech signals.

Public Functions

InverseMglsaDigitalFilter(int num_filter_order, int num_pade_order, int num_stage, double alpha, bool transposition)

Parameters:

• num_filter_order – [in] Order of filter coefficients, $M$.

• num_pade_order – [in] Order of Pade approximation, $L$.

• num_stage – [in] Number of stages, $C$. If zero, MLSA filter is used.

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

• transposition – [in] If true, use transposed form filter.

inline int GetNumFilterOrder() const

Returns:

Order of coefficients.

inline int GetNumPadeOrder() const

Returns:

Order of Pade approximation.

inline int GetNumStage() const

Returns:

Number of stages.

inline double GetAlpha() const

Returns:

All-pass constant.

inline bool GetTranspositionFlag() const

Returns:

True if transposed form is used.

inline bool IsValid() const

Returns:

True if this object is valid.

bool Run(const std::vector<double> &filter_coefficients, double filter_input, double *filter_output, InverseMglsaDigitalFilter::Buffer *buffer) const

Parameters:

• filter_coefficients – [in] $M$-th order MGLSA filter coefficients.

• filter_input – [in] Input signal.

• filter_output – [out] Output signal.

• buffer – [inout] Buffer.

Returns:

True on success, false on failure.

bool Run(const std::vector<double> &filter_coefficients, double *input_and_output, InverseMglsaDigitalFilter::Buffer *buffer) const

Parameters:

• filter_coefficients – [in] $M$-th order MGLSA filter coefficients.

• input_and_output – [inout] Input/output signal.

• buffer – [inout] Buffer.

Returns:

True on success, false on failure.

class Buffer

Buffer for InverseMglsaDigitalFilter class.