[SPTK-CVS] SPTK4/src par2lpc.cc, NONE, 1.1 parcor_coefficients_to_linear_predictive_coefficients.cc

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Update of /cvsroot/sp-tk/SPTK4/src
In directory sfp-cvs-1.v30.ch3.sourceforge.com:/tmp/cvs-serv5181

Modified Files:
	Makefile 
Added Files:
	par2lpc.cc 
	parcor_coefficients_to_linear_predictive_coefficients.cc 
	parcor_coefficients_to_linear_predictive_coefficients.h 
Log Message:
add par2lpc command

--- NEW FILE: parcor_coefficients_to_linear_predictive_coefficients.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_PARCOR_COEFFICIENTS_TO_LINEAR_PREDICTIVE_COEFFICIENTS_H_
#define SPTK_SRC_PARCOR_COEFFICIENTS_TO_LINEAR_PREDICTIVE_COEFFICIENTS_H_

#include <vector>  // std::vector

#include "sptk_utils.h"

namespace sptk {

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

   private:
    std::vector<double> k_;
    friend class ParcorCoefficientsToLinearPredictiveCoefficients;
    DISALLOW_COPY_AND_ASSIGN(Buffer);
  };

  //
  explicit ParcorCoefficientsToLinearPredictiveCoefficients(int num_order)
      : num_order_(num_order), is_valid_(true) {
    if (num_order_ < 0) {
      is_valid_ = false;
    }
  }

  //
  virtual ~ParcorCoefficientsToLinearPredictiveCoefficients() {
  }

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

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

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

 private:
  //
  const int num_order_;

  //
  bool is_valid_;

  //
  DISALLOW_COPY_AND_ASSIGN(ParcorCoefficientsToLinearPredictiveCoefficients);
};

}  // namespace sptk

#endif  // SPTK_SRC_PARCOR_COEFFICIENTS_TO_LINEAR_PREDICTIVE_COEFFICIENTS_H_

--- NEW FILE: parcor_coefficients_to_linear_predictive_coefficients.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 "parcor_coefficients_to_linear_predictive_coefficients.h"

#include <algorithm>  // std::copy
#include <cstddef>    // std::size_t

namespace sptk {

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

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

  (*linear_predictive_coefficients)[0] = parcor_coefficients[0];
  if (0 == num_order_) {
    return true;
  }

  // prepare buffer
  if (buffer->k_.size() < static_cast<std::size_t>(output_length)) {
    buffer->k_.resize(output_length);
  }

  // get value
  double* output(&((*linear_predictive_coefficients)[0]));

  // transform parcor coefficients to linear predictive coefficients
  std::copy(parcor_coefficients.begin(), parcor_coefficients.end(),
            buffer->k_.begin());

  double* k(&buffer->k_[0]);
  for (int i(1); i <= num_order_; ++i) {
    for (int j(1); j < i; ++j) {
      output[j] = k[j] + k[i] * k[i - j];
    }
    for (int j(1); j < i; ++j) {
      k[j] = output[j];
    }
  }
  output[num_order_] = k[num_order_];

  return true;
}

}  // namespace sptk

Index: Makefile
===================================================================
RCS file: /cvsroot/sp-tk/SPTK4/src/Makefile,v
retrieving revision 1.24
retrieving revision 1.25
diff -C2 -d -r1.24 -r1.25
*** Makefile	13 Jan 2017 03:19:11 -0000	1.24
--- Makefile	23 Jan 2017 05:19:36 -0000	1.25
***************
*** 70,73 ****
--- 70,74 ----
             m_sequence_generation.cc \
             normal_distributed_random_value_generation.cc \
+            parcor_coefficients_to_linear_predictive_coefficients.cc \
             sptk_utils.cc
  

--- NEW FILE: par2lpc.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 <fstream>
#include <iostream>
#include <sstream>
#include <vector>

#include "parcor_coefficients_to_linear_predictive_coefficients.h"
#include "sptk_utils.h"

namespace {

const int kDefaultNumOrder(25);

void PrintUsage(std::ostream* stream) {
  // clang-format off
  *stream << std::endl;
  *stream << " par2lpc - transform PARCOR coefficients to linear predictive coefficients" << std::endl;  // NOLINT
  *stream << std::endl;
  *stream << "  usage:" << std::endl;
  *stream << "       par2lpc [ options ] [ infile ] > stdout" << std::endl;
  *stream << "  options:" << std::endl;
  *stream << "       -m m  : order of linear predictive coefficients [" << kDefaultNumOrder << "]" << std::endl;  // NOLINT
  *stream << "       -h    : print this message" << std::endl;
  *stream << "  infile:" << std::endl;
  *stream << "       PARCOR coefficients (double)                    [stdin]" << std::endl;  // NOLINT
  *stream << "  stdout:" << std::endl;
  *stream << "       linear predictive coefficients (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);

  for (;;) {
    const char option_char(getopt(argc, argv, "m: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("par2lpc", 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("par2lpc", error_message);
    return 1;
  }
  std::istream& input_stream(ifs.fail() ? std::cin : ifs);

  sptk::ParcorCoefficientsToLinearPredictiveCoefficients
      parcor_coefficients_to_linear_predictive_coefficients(num_order);
  sptk::ParcorCoefficientsToLinearPredictiveCoefficients::Buffer buffer;
  if (!parcor_coefficients_to_linear_predictive_coefficients.IsValid()) {
    std::ostringstream error_message;
    error_message << "Failed to set the condition";
    sptk::PrintErrorMessage("par2lpc", error_message);
    return 1;
  }

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

  for (int frame_index(0);
       sptk::ReadStream(false, length, &parcor_coefficients, &input_stream);
       ++frame_index) {
    if (!parcor_coefficients_to_linear_predictive_coefficients.Run(
            parcor_coefficients, &linear_predictive_coefficients, &buffer)) {
      std::ostringstream error_message;
      error_message << "Failed to transform PARCOR coefficients to "
                    << "linear predictive coefficients";
      sptk::PrintErrorMessage("par2lpc", error_message);
      return 1;
    }

    if (!sptk::WriteStream(length, linear_predictive_coefficients,
                           &std::cout)) {
      std::ostringstream error_message;
      error_message << "Failed to write linear predictive coefficients";
      sptk::PrintErrorMessage("par2lpc", error_message);
      return 1;
    }
  }

  return 0;
}

[SPTK-CVS] SPTK4/src par2lpc.cc, NONE, 1.1 parcor_coefficients_to_linear_predictive_coefficients.cc

[SPTK-CVS] SPTK4/src par2lpc.cc, NONE, 1.1 parcor_coefficients_to_linear_predictive_coefficients.cc, NONE, 1.1 parcor_coefficients_to_linear_predictive_coefficients.h, NONE, 1.1 Makefile, 1.24, 1.25