[SPTK-CVS] SPTK4/src linear_predictive_coefficients_to_line_spectral_pairs.cc, NONE, 1.1 linear_pr

SourceForge Headquarters 225 Broadway Suite 1600 San Diego, CA 92101 +1 (858) 422-6466

Update of /cvsroot/sp-tk/SPTK4/src
In directory sfp-cvs-1.v30.ch3.sourceforge.com:/tmp/cvs-serv24100

Modified Files:
	Makefile sptk_utils.cc sptk_utils.h 
Added Files:
	linear_predictive_coefficients_to_line_spectral_pairs.cc 
	linear_predictive_coefficients_to_line_spectral_pairs.h 
	lpc2lsp.cc 
Log Message:
add lpc2lsp command

Index: sptk_utils.cc
===================================================================
RCS file: /cvsroot/sp-tk/SPTK4/src/sptk_utils.cc,v
retrieving revision 1.12
retrieving revision 1.13
diff -C2 -d -r1.12 -r1.13
*** sptk_utils.cc	24 Jan 2017 12:29:58 -0000	1.12
--- sptk_utils.cc	26 Jan 2017 10:33:54 -0000	1.13
***************
*** 121,134 ****
  bool WriteStream(int write_size, const std::vector<double>& sequence_to_write,
                   std::ostream* output_stream) {
!   if (write_size <= 0 || NULL == output_stream) {
      return false;
    }
  
!   if (sequence_to_write.size() < static_cast<std::size_t>(write_size)) {
      return false;
    }
  
!   output_stream->write(reinterpret_cast<const char*>(&(sequence_to_write[0])),
!                        sizeof(sequence_to_write[0]) * write_size);
  
    return !output_stream->fail();
--- 121,141 ----
  bool WriteStream(int write_size, const std::vector<double>& sequence_to_write,
                   std::ostream* output_stream) {
!   return WriteStream(0, write_size, sequence_to_write, output_stream);
! }
! 
! bool WriteStream(int begin, int end,
!                  const std::vector<double>& sequence_to_write,
!                  std::ostream* output_stream) {
!   if (begin < 0 || end <= begin || NULL == output_stream) {
      return false;
    }
  
!   if (sequence_to_write.size() < static_cast<std::size_t>(end)) {
      return false;
    }
  
!   output_stream->write(
!       reinterpret_cast<const char*>(&(sequence_to_write[0]) + begin),
!       sizeof(sequence_to_write[0]) * (end - begin));
  
    return !output_stream->fail();

--- NEW FILE: linear_predictive_coefficients_to_line_spectral_pairs.cc ---
// ----------------------------------------------------------------- //
//             The Speech Signal Processing Toolkit (SPTK)           //
//             developed by SPTK Working Group                       //
//             http://sp-tk.sourceforge.net/                         //
// ----------------------------------------------------------------- //
//                                                                   //
//  Copyright (c) 1984-2007  Tokyo Institute of Technology           //
//                           Interdisciplinary Graduate School of    //
//                           Science and Engineering                 //
//                                                                   //
//                1996-2017  Nagoya Institute of Technology          //
//                           Department of Computer Science          //
//                                                                   //
// All rights reserved.                                              //
//                                                                   //
// Redistribution and use in source and binary forms, with or        //
// without modification, are permitted provided that the following   //
// conditions are met:                                               //
//                                                                   //
// - Redistributions of source code must retain the above copyright  //
//   notice, this list of conditions and the following disclaimer.   //
// - Redistributions in binary form must reproduce the above         //
//   copyright notice, this list of conditions and the following     //
//   disclaimer in the documentation and/or other materials provided //
//   with the distribution.                                          //
// - Neither the name of the SPTK working group nor the names of its //
//   contributors may be used to endorse or promote products derived //
//   from this software without specific prior written permission.   //
//                                                                   //
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND            //
// CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,       //
// INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF          //
// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE          //
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS //
// BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,          //
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED   //
// TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,     //
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON //
// ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,   //
// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY    //
// OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE           //
// POSSIBILITY OF SUCH DAMAGE.                                       //
// ----------------------------------------------------------------- //

#include "linear_predictive_coefficients_to_line_spectral_pairs.h"

#include <cmath>    // std::acos, std::ceil, std::fabs
#include <cstddef>  // std::size_t

namespace sptk {

LinearPredictiveCoefficientsToLineSpectralPairs::
    LinearPredictiveCoefficientsToLineSpectralPairs(int num_order,
                                                    int num_split,
                                                    int num_iteration,
                                                    double epsilon)
    : num_order_(num_order),
      num_symmetric_polynomial_order_(std::ceil((num_order + 1) / 2)),
      num_asymmetric_polynomial_order_(num_order / 2),
      num_split_(num_split),
      num_iteration_(num_iteration),
      epsilon_(epsilon),
      is_valid_(true) {
  if (num_order < 0 || num_split < 1 || num_iteration < 1 || epsilon < 0.0) {
    is_valid_ = false;
  }
}

bool LinearPredictiveCoefficientsToLineSpectralPairs::Run(
    const std::vector<double>& linear_predictive_coefficients,
    std::vector<double>* line_spectral_pairs,
    LinearPredictiveCoefficientsToLineSpectralPairs::Buffer* buffer) const {
  // check inputs
  if (!is_valid_ ||
      linear_predictive_coefficients.size() !=
          static_cast<std::size_t>(num_order_ + 1) ||
      NULL == line_spectral_pairs || NULL == buffer) {
    return false;
  }

  // prepare memory
  if (line_spectral_pairs->size() < static_cast<std::size_t>(num_order_ + 1)) {
    line_spectral_pairs->resize(num_order_ + 1);
  }

  (*line_spectral_pairs)[0] = linear_predictive_coefficients[0];
  if (0 == num_order_) return true;

  // prepare buffer
  if (buffer->c1_.size() <
      static_cast<std::size_t>(num_symmetric_polynomial_order_ + 1)) {
    buffer->c1_.resize(num_symmetric_polynomial_order_ + 1);
  }
  if (buffer->c2_.size() <
      static_cast<std::size_t>(num_asymmetric_polynomial_order_ + 1)) {
    buffer->c2_.resize(num_asymmetric_polynomial_order_ + 1);
  }

  // calculate symmetric and antisymmetric polynomials
  const double* p1(&(linear_predictive_coefficients[0]) + 1);
  const double* p2(&(linear_predictive_coefficients[0]) + num_order_);
  double* c1(&buffer->c1_[0]);
  double* c2(&buffer->c2_[0]);
  c1[num_symmetric_polynomial_order_] = 1.0;
  c2[num_asymmetric_polynomial_order_] = 1.0;
  if (num_order_ % 2 == 0) {
    for (int i(num_symmetric_polynomial_order_ - 1); 0 <= i; --i, ++p1, --p2) {
      c1[i] = *p1 + *p2 - c1[i + 1];
      c2[i] = *p1 - *p2 + c2[i + 1];
    }
  } else {
    for (int i(num_asymmetric_polynomial_order_ - 1); 0 <= i; --i, ++p1, --p2) {
      c1[i + 1] = *p1 + *p2;
      c2[i] = (i == num_asymmetric_polynomial_order_ - 1)
                  ? *p1 - *p2
                  : *p1 - *p2 + c2[i + 2];
    }
    c1[0] = *p1 + *p2;
  }
  c1[0] *= 0.5;
  c2[0] *= 0.5;

  // set initial condition
  int order(0);
  std::vector<double>* c(&buffer->c1_);
  double x_prev(1.0);
  double y_prev;
  if (!CalculateChebyshevPolynomial(*c, x_prev, &y_prev)) return false;

  // search roots of polynomials
  const double delta(1.0 / num_split_);
  const double x_max(1.0 - delta);
  const double x_min(-1.0 - delta);
  for (double x(x_max); x_min < x; x -= delta) {
    double y;
    if (!CalculateChebyshevPolynomial(*c, x, &y)) return false;

    if (y * y_prev <= 0.0) {
      double x_lower(x);
      double x_upper(x_prev);
      double y_lower(y);
      double y_upper(y_prev);

      for (int i(0); i < num_iteration_; ++i) {
        double x_mid((x_lower + x_upper) * 0.5);
        double y_mid;
        if (!CalculateChebyshevPolynomial(*c, x_mid, &y_mid)) return false;

        if (y_mid * y_upper <= 0.0) {
          x_lower = x_mid;
          y_lower = y_mid;
        } else {
          x_upper = x_mid;
          y_upper = y_mid;
        }

        if (std::fabs(y_mid) <= epsilon_) break;
      }

      const double x_interpolated((y_lower * x_upper - y_upper * x_lower) /
                                  (y_lower - y_upper));
      (*line_spectral_pairs)[++order] =
          std::acos(x_interpolated) / sptk::kTwoPi;
      if (num_order_ == order) return true;

      // update variables
      c = (c == &buffer->c1_) ? &buffer->c2_ : &buffer->c1_;
      x = x_interpolated;
      if (!CalculateChebyshevPolynomial(*c, x, &y)) return false;
    }

    x_prev = x;
    y_prev = y;
  }

  return false;
}

bool LinearPredictiveCoefficientsToLineSpectralPairs::
    CalculateChebyshevPolynomial(const std::vector<double>& coefficients,
                                 double x, double* y) const {
  if (coefficients.empty() || NULL == y) {
    return false;
  }

  const double* c(&coefficients[0]);
  double b2(0.0);
  double b1(0.0);
  for (int i(coefficients.size() - 1); 0 < i; --i) {
    const double b0(2.0 * x * b1 - b2 + c[i]);
    b2 = b1;
    b1 = b0;
  }
  *y = x * b1 - b2 + c[0];

  return true;
}

}  // namespace sptk

Index: Makefile
===================================================================
RCS file: /cvsroot/sp-tk/SPTK4/src/Makefile,v
retrieving revision 1.25
retrieving revision 1.26
diff -C2 -d -r1.25 -r1.26
*** Makefile	23 Jan 2017 05:19:36 -0000	1.25
--- Makefile	26 Jan 2017 10:33:53 -0000	1.26
***************
*** 9,13 ****
  #                           Science and Engineering                 #
  #                                                                   #
! #                1996-2016  Nagoya Institute of Technology          #
  #                           Department of Computer Science          #
  #                                                                   #
--- 9,13 ----
  #                           Science and Engineering                 #
  #                                                                   #
! #                1996-2017  Nagoya Institute of Technology          #
  #                           Department of Computer Science          #
  #                                                                   #
***************
*** 67,70 ****
--- 67,71 ----
             levinson_durbin_recursion.cc \
             linear_predictive_coefficients_to_cepstrum.cc \
+            linear_predictive_coefficients_to_line_spectral_pairs.cc \
             linear_predictive_coefficients_to_parcor_coefficients.cc \
             m_sequence_generation.cc \

--- NEW FILE: linear_predictive_coefficients_to_line_spectral_pairs.h ---
// ----------------------------------------------------------------- //
//             The Speech Signal Processing Toolkit (SPTK)           //
//             developed by SPTK Working Group                       //
//             http://sp-tk.sourceforge.net/                         //
// ----------------------------------------------------------------- //
//                                                                   //
//  Copyright (c) 1984-2007  Tokyo Institute of Technology           //
//                           Interdisciplinary Graduate School of    //
//                           Science and Engineering                 //
//                                                                   //
//                1996-2017  Nagoya Institute of Technology          //
//                           Department of Computer Science          //
//                                                                   //
// All rights reserved.                                              //
//                                                                   //
// Redistribution and use in source and binary forms, with or        //
// without modification, are permitted provided that the following   //
// conditions are met:                                               //
//                                                                   //
// - Redistributions of source code must retain the above copyright  //
//   notice, this list of conditions and the following disclaimer.   //
// - Redistributions in binary form must reproduce the above         //
//   copyright notice, this list of conditions and the following     //
//   disclaimer in the documentation and/or other materials provided //
//   with the distribution.                                          //
// - Neither the name of the SPTK working group nor the names of its //
//   contributors may be used to endorse or promote products derived //
//   from this software without specific prior written permission.   //
//                                                                   //
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND            //
// CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,       //
// INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF          //
// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE          //
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS //
// BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,          //
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED   //
// TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,     //
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON //
// ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,   //
// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY    //
// OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE           //
// POSSIBILITY OF SUCH DAMAGE.                                       //
// ----------------------------------------------------------------- //

#ifndef SPTK_SRC_LINEAR_PREDICTIVE_COEFFICIENTS_TO_LINE_SPECTRAL_PAIRS_H_
#define SPTK_SRC_LINEAR_PREDICTIVE_COEFFICIENTS_TO_LINE_SPECTRAL_PAIRS_H_

#include <vector>  // std::vector

#include "sptk_utils.h"

namespace sptk {

class LinearPredictiveCoefficientsToLineSpectralPairs {
 public:
  class Buffer {
   public:
    Buffer() {
    }
    virtual ~Buffer() {
    }

   private:
    std::vector<double> c1_;
    std::vector<double> c2_;
    friend class LinearPredictiveCoefficientsToLineSpectralPairs;
    DISALLOW_COPY_AND_ASSIGN(Buffer);
  };

  //
  LinearPredictiveCoefficientsToLineSpectralPairs(int num_order, int num_split,
                                                  int num_iteration,
                                                  double epsilon);

  //
  virtual ~LinearPredictiveCoefficientsToLineSpectralPairs() {
  }

  //
  int GetNumOrder() const {
    return num_order_;
  }

  //
  int GetNumSplit() const {
    return num_split_;
  }

  //
  int GetNumIteration() const {
    return num_iteration_;
  }

  //
  double GetEpsilon() const {
    return epsilon_;
  }

  //
  bool IsValid() const {
    return is_valid_;
  }

  //
  bool Run(
      const std::vector<double>& linear_predictive_coefficients,
      std::vector<double>* line_spectral_pairs,
      LinearPredictiveCoefficientsToLineSpectralPairs::Buffer* buffer) const;

 private:
  //
  bool CalculateChebyshevPolynomial(const std::vector<double>& coefficients,
                                    double x, double* y) const;

  //
  const int num_order_;

  //
  const int num_symmetric_polynomial_order_;

  //
  const int num_asymmetric_polynomial_order_;

  //
  const int num_split_;

  //
  const int num_iteration_;

  //
  const double epsilon_;

  //
  bool is_valid_;

  //
  DISALLOW_COPY_AND_ASSIGN(LinearPredictiveCoefficientsToLineSpectralPairs);
};

}  // namespace sptk

#endif  // SPTK_SRC_LINEAR_PREDICTIVE_COEFFICIENTS_TO_LINE_SPECTRAL_PAIRS_H_

--- NEW FILE: lpc2lsp.cc ---
// ----------------------------------------------------------------- //
//             The Speech Signal Processing Toolkit (SPTK)           //
//             developed by SPTK Working Group                       //
//             http://sp-tk.sourceforge.net/                         //
// ----------------------------------------------------------------- //
//                                                                   //
//  Copyright (c) 1984-2007  Tokyo Institute of Technology           //
//                           Interdisciplinary Graduate School of    //
//                           Science and Engineering                 //
//                                                                   //
//                1996-2017  Nagoya Institute of Technology          //
//                           Department of Computer Science          //
//                                                                   //
// All rights reserved.                                              //
//                                                                   //
// Redistribution and use in source and binary forms, with or        //
// without modification, are permitted provided that the following   //
// conditions are met:                                               //
//                                                                   //
// - Redistributions of source code must retain the above copyright  //
//   notice, this list of conditions and the following disclaimer.   //
// - Redistributions in binary form must reproduce the above         //
//   copyright notice, this list of conditions and the following     //
//   disclaimer in the documentation and/or other materials provided //
//   with the distribution.                                          //
// - Neither the name of the SPTK working group nor the names of its //
//   contributors may be used to endorse or promote products derived //
//   from this software without specific prior written permission.   //
//                                                                   //
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND            //
// CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,       //
// INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF          //
// MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE          //
// DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS //
// BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,          //
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED   //
// TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,     //
// DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON //
// ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,   //
// OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY    //
// OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE           //
// POSSIBILITY OF SUCH DAMAGE.                                       //
// ----------------------------------------------------------------- //

#include <unistd.h>
#include <algorithm>
#include <cmath>
#include <fstream>
#include <functional>
#include <iostream>
#include <sstream>
#include <vector>

#include "linear_predictive_coefficients_to_line_spectral_pairs.h"
#include "sptk_utils.h"

namespace {

enum OutputGainTypes {
  kLinearGain = 0,
  kLogGain,
  kWithoutGain,
  kNumOutputGainTypes
};

enum OutputFormats {
  kNormalizedFrequencyInRadians = 0,
  kNormalizedFrequencyInCycles,
  kFrequecnyInkHz,
  kFrequecnyInHz,
  kNumOutputFormats
};

const int kDefaultNumOrder(25);
const double kDefaultSamplingFrequency(10.0);
const int kDefaultOutputGainType(kLinearGain);
const int kDefaultOutputFormat(kNormalizedFrequencyInRadians);
const int kDefaultNumSplit(128);
const int kDefaultNumIteration(4);
const double kDefaultEpsilon(1e-6);

void PrintUsage(std::ostream* stream) {
  // clang-format off
  *stream << std::endl;
  *stream << " lpc2lsp - transform linear predictive coefficients to " << std::endl;  // NOLINT
  *stream << "           line spectral pairs" << std::endl;
  *stream << std::endl;
  *stream << "  usage:" << std::endl;
  *stream << "       lpc2lsp [ options ] [ infile ] > stdout" << std::endl;
  *stream << "  options:" << std::endl;
  *stream << "       -m m  : order of linear predictive coefficients [" << kDefaultNumOrder << "]" << std::endl;  // NOLINT
  *stream << "       -s s  : sampling frequency                      [" << kDefaultSamplingFrequency << "]" << std::endl;  // NOLINT
  *stream << "       -k k  : output gain type                        [" << kDefaultOutputGainType << "]" << std::endl;  // NOLINT
  *stream << "                 0 (linear gain)" << std::endl;
  *stream << "                 1 (log gain)" << std::endl;
  *stream << "                 2 (without gain)" << std::endl;
  *stream << "       -o o  : output format                           [" << kDefaultOutputFormat << "]" << std::endl;  // NOLINT
  *stream << "                 0 (normalized frequency [0...pi])" << std::endl;
  *stream << "                 1 (normalized frequency [0...1/2])" << std::endl;
  *stream << "                 2 (frequency [kHz])" << std::endl;
  *stream << "                 3 (frequency [Hz])" << std::endl;
  *stream << "       -h    : print this message" << std::endl;
  *stream << "     (level 2)" << std::endl;
  *stream << "       -n n  : split number of unit circle             [" << kDefaultNumSplit << "]" << std::endl;  // NOLINT
  *stream << "       -i i  : maximum number of interpolation         [" << kDefaultNumIteration << "]" << std::endl;  // NOLINT
  *stream << "       -d d  : end condition of interpolation          [" << kDefaultEpsilon << "]" << std::endl;  // NOLINT
  *stream << "  infile:" << std::endl;
  *stream << "       linear predictive coefficients (double)         [stdin]" << std::endl;  // NOLINT
  *stream << "  stdout:" << std::endl;
  *stream << "       line spectral pairs (double)" << std::endl;
  *stream << std::endl;
  *stream << " SPTK: version " << sptk::kVersion << std::endl;
  *stream << std::endl;
  // clang-format on
}

}  // namespace

int main(int argc, char* argv[]) {
  int num_order(kDefaultNumOrder);
  double sampling_frequency(kDefaultSamplingFrequency);
  OutputGainTypes output_gain_type(
      static_cast<OutputGainTypes>(kDefaultOutputGainType));
  OutputFormats output_format(static_cast<OutputFormats>(kDefaultOutputFormat));
  int num_split(kDefaultNumSplit);
  int num_iteration(kDefaultNumIteration);
  double epsilon(kDefaultEpsilon);

  for (;;) {
    const char option_char(getopt(argc, argv, "m:s:k:o:n:i:d:h"));
    if (-1 == option_char) break;

    switch (option_char) {
      case 'm': {
        if (!sptk::ConvertStringToInteger(optarg, &num_order) ||
            num_order < 0) {
          std::ostringstream error_message;
          error_message << "The argument for the -m option must be a "
                        << "non-negative integer";
          sptk::PrintErrorMessage("lpc2lsp", error_message);
          return 1;
        }
        break;
      }
      case 's': {
        if (!sptk::ConvertStringToDouble(optarg, &sampling_frequency) ||
            sampling_frequency <= 0.0) {
          std::ostringstream error_message;
          error_message
              << "The argument for the -s option must be a positive number";
          sptk::PrintErrorMessage("lpc2lsp", error_message);
          return 1;
        }
        break;
      }
      case 'k': {
        const int min(0);
        const int max(static_cast<int>(kNumOutputGainTypes) - 1);
        int tmp;
        if (!sptk::ConvertStringToInteger(optarg, &tmp) ||
            !sptk::IsInRange(tmp, min, max)) {
          std::ostringstream error_message;
          error_message << "The argument for the -k option must be an integer "
                        << "in the range of " << min << " to " << max;
          sptk::PrintErrorMessage("lpc2lsp", error_message);
          return 1;
        }
        output_gain_type = static_cast<OutputGainTypes>(tmp);
        break;
      }
      case 'o': {
        const int min(0);
        const int max(static_cast<int>(kNumOutputFormats) - 1);
        int tmp;
        if (!sptk::ConvertStringToInteger(optarg, &tmp) ||
            !sptk::IsInRange(tmp, min, max)) {
          std::ostringstream error_message;
          error_message << "The argument for the -o option must be an integer "
                        << "in the range of " << min << " to " << max;
          sptk::PrintErrorMessage("lpc2lsp", error_message);
          return 1;
        }
        output_format = static_cast<OutputFormats>(tmp);
        break;
      }
      case 'n': {
        if (!sptk::ConvertStringToInteger(optarg, &num_split) ||
            num_split <= 0) {
          std::ostringstream error_message;
          error_message
              << "The argument for the -n option must be a positive integer";
          sptk::PrintErrorMessage("lpc2lsp", error_message);
          return 1;
        }
        break;
      }
      case 'i': {
        if (!sptk::ConvertStringToInteger(optarg, &num_iteration) ||
            num_iteration <= 0) {
          std::ostringstream error_message;
          error_message
              << "The argument for the -i option must be a positive integer";
          sptk::PrintErrorMessage("lpc2lsp", error_message);
          return 1;
        }
        break;
      }
      case 'd': {
        if (!sptk::ConvertStringToDouble(optarg, &epsilon) || epsilon < 0.0) {
          std::ostringstream error_message;
          error_message
              << "The argument for the -d option must be a non-negative number";
          sptk::PrintErrorMessage("lpc2lsp", error_message);
          return 1;
        }
        break;
      }
      case 'h': {
        PrintUsage(&std::cout);
        return 0;
      }
      default: {
        PrintUsage(&std::cerr);
        return 1;
      }
    }
  }

  // get input file
  const char* input_file((optind < argc) ? argv[argc - 1] : NULL);

  // open stream
  std::ifstream ifs;
  ifs.open(input_file, std::ios::in | std::ios::binary);
  if (ifs.fail() && NULL != input_file) {
    std::ostringstream error_message;
    error_message << "Cannot open file " << input_file;
    sptk::PrintErrorMessage("lpc2lsp", error_message);
    return 1;
  }
  std::istream& input_stream(ifs.fail() ? std::cin : ifs);

  // prepare to transform
  sptk::LinearPredictiveCoefficientsToLineSpectralPairs
      linear_predictive_coefficients_to_line_spectral_pairs(
          num_order, num_split, num_iteration, epsilon);
  sptk::LinearPredictiveCoefficientsToLineSpectralPairs::Buffer buffer;
  if (!linear_predictive_coefficients_to_line_spectral_pairs.IsValid()) {
    std::ostringstream error_message;
    error_message << "Failed to set condition for transformation";
    sptk::PrintErrorMessage("lpc2lsp", error_message);
    return 1;
  }

  const int length(num_order + 1);
  std::vector<double> linear_predictive_coefficients(length);
  std::vector<double> line_spectral_pairs(length);

  while (sptk::ReadStream(false, length, &linear_predictive_coefficients,
                          &input_stream)) {
    if (!linear_predictive_coefficients_to_line_spectral_pairs.Run(
            linear_predictive_coefficients, &line_spectral_pairs, &buffer)) {
      std::ostringstream error_message;
      error_message << "Failed to transform linear predictive coefficients to "
                       "line spectral pairs";
      sptk::PrintErrorMessage("lpc2lsp", error_message);
      return 1;
    }

    switch (output_format) {
      case kNormalizedFrequencyInRadians: {
        std::transform(line_spectral_pairs.begin() + 1,
                       line_spectral_pairs.end(),
                       line_spectral_pairs.begin() + 1,
                       std::bind1st(std::multiplies<double>(), sptk::kTwoPi));
        break;
      }
      case kNormalizedFrequencyInCycles: {
        // nothing to do
        break;
      }
      case kFrequecnyInkHz: {
        std::transform(
            line_spectral_pairs.begin() + 1, line_spectral_pairs.end(),
            line_spectral_pairs.begin() + 1,
            std::bind1st(std::multiplies<double>(), sampling_frequency));
        break;
      }
      case kFrequecnyInHz: {
        std::transform(line_spectral_pairs.begin() + 1,
                       line_spectral_pairs.end(),
                       line_spectral_pairs.begin() + 1,
                       std::bind1st(std::multiplies<double>(),
                                    1000.0 * sampling_frequency));
        break;
      }
      default: { break; }
    }

    if (kLogGain == output_gain_type) {
      line_spectral_pairs[0] = std::log(line_spectral_pairs[0]);
    }

    const int begin(kWithoutGain == output_gain_type ? 1 : 0);
    if (!sptk::WriteStream(begin, length, line_spectral_pairs, &std::cout)) {
      std::ostringstream error_message;
      error_message << "Failed to write line spectral pairs";
      sptk::PrintErrorMessage("lpc2lsp", error_message);
      return 1;
    }
  }

  return 0;
}

Index: sptk_utils.h
===================================================================
RCS file: /cvsroot/sp-tk/SPTK4/src/sptk_utils.h,v
retrieving revision 1.8
retrieving revision 1.9
diff -C2 -d -r1.8 -r1.9
*** sptk_utils.h	26 Dec 2016 07:41:20 -0000	1.8
--- sptk_utils.h	26 Jan 2017 10:33:54 -0000	1.9
***************
*** 61,64 ****
--- 61,65 ----
  static const char* const kVersion("4.0");
  static const double kPi(3.141592653589793);
+ static const double kTwoPi(6.283185307179586);
  static const double kNp(8.685889638065035);  // 1 Np = 20 / ln(10) dB
  
***************
*** 70,73 ****
--- 71,77 ----
  bool WriteStream(int write_size, const std::vector<double>& sequence_to_write,
                   std::ostream* output_stream);
+ bool WriteStream(int begin, int end,
+                  const std::vector<double>& sequence_to_write,
+                  std::ostream* output_stream);
  const char* ConvertBooleanToString(bool input);
  bool ConvertStringToInteger(const std::string& input, int* output);

[SPTK-CVS] SPTK4/src linear_predictive_coefficients_to_line_spectral_pairs.cc, NONE, 1.1 linear_pr

[SPTK-CVS] SPTK4/src linear_predictive_coefficients_to_line_spectral_pairs.cc, NONE, 1.1 linear_predictive_coefficients_to_line_spectral_pairs.h, NONE, 1.1 lpc2lsp.cc, NONE, 1.1 Makefile, 1.25, 1.26 sptk_utils.cc, 1.12, 1.13 sptk_utils.h, 1.8, 1.9