init

1 files changed, 1798 insertions, 0 deletions

diff --git a/tnet_io/KaldiLib/Features.cc b/tnet_io/KaldiLib/Features.cc
new file mode 100644
index 0000000..64b63e8
--- /dev/null
+++ b/tnet_io/KaldiLib/Features.cc
@@ -0,0 +1,1798 @@
+
+//enable feature repository profiling
+#define PROFILING 1
+
+#include <sstream>
+#include <map>
+#include <list>
+#include <cstdio>
+
+#include "Features.h"
+#include "Tokenizer.h"
+#include "StkMatch.h"
+#include "Types.h"
+
+
+
+namespace TNet
+{
+  const char 
+  FeatureRepository::
+  mpParmKindNames[13][16] =
+  {
+    {"WAVEFORM"},
+    {"LPC"},
+    {"LPREFC"},
+    {"LPCEPSTRA"},
+    {"LPDELCEP"},
+    {"IREFC"},
+    {"MFCC"},
+    {"FBANK"},
+    {"MELSPEC"},
+    {"USER"},
+    {"DISCRETE"},
+    {"PLP"},
+    {"ANON"}
+  };
+
+  //***************************************************************************
+  //***************************************************************************
+
+  FileListElem::
+  FileListElem(const std::string & rFileName)
+  {
+    std::string::size_type  pos;
+    
+    mLogical = rFileName;
+    mWeight  = 1.0;
+    
+    // some slash-backslash replacement hack
+    for (size_t i = 0; i < mLogical.size(); i++) {
+      if (mLogical[i] == '\\') {
+        mLogical[i] = '/';
+      }
+    }
+        
+    // read sentence weight definition if any ( physical_file.fea[s,e]{weight} )
+    if ((pos = mLogical.find('{')) != std::string::npos)
+    {
+      std::string       tmp_weight(mLogical.begin() + pos + 1, mLogical.end());
+      std::stringstream tmp_ss(tmp_weight);
+
+      tmp_ss >> mWeight;
+      mLogical.erase(pos);
+    }
+
+    // look for "=" symbol and if found, split it
+    if ((pos = mLogical.find('=')) != std::string::npos)
+    {
+      // copy all from mLogical[pos+1] till the end to mPhysical
+      mPhysical.assign(mLogical.begin() + pos + 1, mLogical.end());
+      // erase all from pos + 1 till the end from mLogical
+      mLogical.erase(pos);
+      // trim the leading and trailing spaces
+      Trim(mPhysical);
+      Trim(mLogical);
+    }
+    else
+    {
+      // trim the leading and trailing spaces
+      Trim(mLogical);
+
+      mPhysical = mLogical;
+    }    
+  }    
+
+
+  //###########################################################################
+  //###########################################################################
+  // FeatureRepository section
+  //###########################################################################
+  //###########################################################################
+  
+  //***************************************************************************
+  //***************************************************************************
+  void 
+  FeatureRepository::
+  ReadCepsNormFile(
+    const char *  pFileName, 
+    char **       pLastFileName, 
+    BaseFloat **      vec_buff,
+    int           sampleKind, 
+    CNFileType    type, 
+    int           coefs)
+  {
+    FILE*   fp;
+    int     i;
+    char    s1[64];
+    char    s2[64];
+    const char*   typeStr = (type == CNF_Mean     ? "MEAN" :
+                    type == CNF_Variance ? "VARIANCE" : "VARSCALE");
+  
+    const char*   typeStr2 = (type == CNF_Mean     ? "CMN" :
+                    type == CNF_Variance ? "CVN" : "VarScale");
+  
+    if (*pLastFileName != NULL && !strcmp(*pLastFileName, pFileName)) {
+      return;
+    }
+    free(*pLastFileName);
+    *pLastFileName=strdup(pFileName);
+    *vec_buff = (BaseFloat*) realloc(*vec_buff, coefs * sizeof(BaseFloat));
+  
+    if (*pLastFileName == NULL || *vec_buff== NULL) 
+      throw std::runtime_error("Insufficient memory");
+    
+    if ((fp = fopen(pFileName, "r")) == NULL)  {
+      throw std::runtime_error(std::string("Cannot open ") + typeStr2 
+          + " pFileName: '" + pFileName + "'");
+    }
+    
+    if ((type != CNF_VarScale
+        && (fscanf(fp, " <%64[^>]> <%64[^>]>", s1, s2) != 2
+          || strcmp(StrToUpper(s1), "CEPSNORM")
+          || ReadParmKind(s2, false) != sampleKind))
+        || fscanf(fp, " <%64[^>]> %d", s1, &i) != 2
+        || strcmp(StrToUpper(s1), typeStr)
+        || i != coefs) 
+    {
+      ParmKind2Str(sampleKind, s2);
+
+      //std::cout << "[[[TADY!!!!]]]" << pFileName << "\n" << std::flush;
+
+      throw std::runtime_error(std::string("")
+            + (type == CNF_VarScale ? "" : "<CEPSNORM> <")
+            + (type == CNF_VarScale ? "" : s2)
+            + (type == CNF_VarScale ? "" : ">")
+            + " <" + typeStr + " ... expected in " + typeStr2
+            + " file " + pFileName);
+    }
+    
+    for (i = 0; i < coefs; i++) {
+      if (fscanf(fp, " "FLOAT_FMT, *vec_buff+i) != 1) {
+        if (fscanf(fp, "%64s", s2) == 1) {
+          throw std::runtime_error(std::string("Decimal number expected but '")
+              + s2 + "' found in " + typeStr2 + " file " + pFileName);
+        } 
+        else if (feof(fp)) {
+          throw std::runtime_error(std::string("Unexpected end of ") 
+              + typeStr2 + " file "+ pFileName);
+        } 
+        else {
+          throw std::runtime_error(std::string("Cannot read ") + typeStr2 
+              + " file " + pFileName);
+        }
+      }
+      
+      if (type == CNF_Variance)      
+        (*vec_buff)[i] = BaseFloat(1 / sqrt((*vec_buff)[i]));
+      else if (type == CNF_VarScale) 
+        (*vec_buff)[i] = BaseFloat(sqrt((*vec_buff)[i]));
+    }
+    
+    if (fscanf(fp, "%64s", s2) == 1) 
+    {
+      throw std::runtime_error(std::string("End of file expected but '") 
+          + s2 + "' found in " + typeStr2 + " file " + pFileName);
+    }
+    
+    fclose(fp);
+  } // ReadCepsNormFile(...)
+  
+
+  //***************************************************************************
+  //***************************************************************************
+  void
+  FeatureRepository::
+  HtkFilter(const char* pFilter, const char* pValue, FeatureRepository& rOut)
+  {
+    std::list<FileListElem>::iterator   it;
+    std::string  str;
+
+    rOut.mSwapFeatures    = mSwapFeatures;
+    rOut.mStartFrameExt   = mStartFrameExt;
+    rOut.mEndFrameExt     = mEndFrameExt;
+    rOut.mTargetKind      = mTargetKind;
+    rOut.mDerivOrder      = mDerivOrder;
+    rOut.mDerivWinLengths = mDerivWinLengths;
+
+    rOut.mpCvgFile        = mpCvgFile;
+    rOut.mpCmnPath        = mpCmnPath;
+    rOut.mpCmnMask        = mpCmnMask;
+    rOut.mpCvnPath        = mpCvnPath;
+    rOut.mpCvnMask        = mpCvnMask;
+
+    rOut.mInputQueue.clear();
+
+    // go through all records and check the mask
+    for (it=mInputQueue.begin(); it!= mInputQueue.end(); ++it) {
+      if (pFilter == NULL
+      ||  (ProcessMask(it->Logical(), pFilter, str) && (str == pValue))) {
+        rOut.mInputQueue.push_back(*it);
+      }
+    }
+
+    // set the queue position to the begining
+    rOut.mInputQueueIterator = mInputQueue.end(); 
+
+    rOut.mCurrentIndexFileName  = "";
+    rOut.mCurrentIndexFileDir   = "";
+    rOut.mCurrentIndexFileExt   = "";
+
+    mStream.close();
+    mStream.clear();
+
+    rOut.mpLastFileName = NULL;
+    rOut.mLastFileName  = "";
+    rOut.mpLastCmnFile  = NULL;
+    rOut.mpLastCvnFile  = NULL;
+    rOut.mpLastCvgFile  = NULL;
+    rOut.mpCmn          = NULL;
+    rOut.mpCvn          = NULL;
+    rOut.mpCvg          = NULL;
+    rOut.mpA            = NULL;
+    rOut.mpB            = NULL;
+
+  }
+
+
+  //***************************************************************************
+  //***************************************************************************
+  void
+  FeatureRepository::
+  HtkSelection(const char* pFilter, std::list< std::string >& rOut)
+  {
+    std::map< std::string, bool> aux_map;
+    std::map< std::string, bool>::iterator map_it;
+    std::list<FileListElem>::iterator   it;
+    std::string  str;
+
+    rOut.clear();
+    
+    if(pFilter != NULL) {
+      // go through all records and check the mask
+      for (it=mInputQueue.begin(); it!= mInputQueue.end(); ++it) {
+        if (ProcessMask(it->Logical(), pFilter, str)) {
+          aux_map[str] = true;
+        }
+      }
+    } else {
+      aux_map[std::string("default speaker")] = true;
+    }
+
+    for (map_it = aux_map.begin(); map_it != aux_map.end(); ++map_it) {
+      rOut.push_back(map_it->first);
+    }
+  }
+
+
+  //***************************************************************************
+  //***************************************************************************
+  int     
+  FeatureRepository::
+  ParmKind2Str(unsigned parmKind, char *pOutString)
+  {
+    // :KLUDGE: Absolutely no idea what this is...
+      if ((parmKind & 0x003F) >= sizeof(mpParmKindNames)/sizeof(mpParmKindNames[0])) 
+      return 0;
+  
+    strcpy(pOutString, mpParmKindNames[parmKind & 0x003F]);
+  
+    if (parmKind & PARAMKIND_E) strcat(pOutString, "_E");
+    if (parmKind & PARAMKIND_N) strcat(pOutString, "_N");
+    if (parmKind & PARAMKIND_D) strcat(pOutString, "_D");
+    if (parmKind & PARAMKIND_A) strcat(pOutString, "_A");
+    if (parmKind & PARAMKIND_C) strcat(pOutString, "_C");
+    if (parmKind & PARAMKIND_Z) strcat(pOutString, "_Z");
+    if (parmKind & PARAMKIND_K) strcat(pOutString, "_K");
+    if (parmKind & PARAMKIND_0) strcat(pOutString, "_0");
+    if (parmKind & PARAMKIND_V) strcat(pOutString, "_V");
+    if (parmKind & PARAMKIND_T) strcat(pOutString, "_T");
+    
+    return 1;
+  }
+
+
+  // //***************************************************************************
+  // //***************************************************************************
+  // void
+  // AddFileListToFeatureRepositories(
+  //   const char* pFileName, 
+  //   const char* pFilter, 
+  //   std::queue<FeatureRepository *> &featureRepositoryList)
+  // {
+  //   IStkStream            l_stream;
+  //   std::string           file_name;
+  //   Tokenizer             file_list(pFileName, ",");
+  //   Tokenizer::iterator   p_file_name;
+
+  //   //:TODO: error if empty featureRepositoryList
+  //   
+  //   for (p_file_name = file_list.begin(); p_file_name != file_list.end(); ++p_file_name)
+  //   {
+  //     // get rid of initial and trailing blanks
+  //     Trim(*p_file_name);
+
+  //     // open file name
+  //     l_stream.open(p_file_name->c_str(), std::ios::in, pFilter);
+  //     
+  //     if (!l_stream.good()) {
+  //       //:TODO:
+  //       // Warning or error ... Why warning? -Lukas
+  //       throw std::runtime_error(std::string("Cannot not open list file ") +
+  //           *p_file_name);
+  //     }
+
+  //     // read all lines and parse them
+  //     for(;;)
+  //     {
+  //       l_stream >> file_name;
+  //       //:TODO: if(l_stream.badl()) Error()
+  //       // Reading after last token set the fail bit
+  //       if(l_stream.fail()) 
+  //         break;
+  //       // we can push_back a std::string as new FileListElem object
+  //       // is created using FileListElem(const std::string&) constructor
+  //       // and logical and physical names are correctly extracted
+  //       featureRepositoryList.front()->mInputQueue.push_back(file_name);
+  //       
+  //       //cycle in the featureRepositoryList
+  //       featureRepositoryList.push(featureRepositoryList.front());
+  //       featureRepositoryList.pop();
+  //     }
+  //     l_stream.close();
+  //   }
+  // } // AddFileList(const std::string & rFileName)
+
+
+  //***************************************************************************
+  //***************************************************************************
+  void
+  FeatureRepository::
+  Init(
+      bool                  swap,
+      int                   extLeft,
+      int                   extRight,
+      int                   targetKind,
+      int                   derivOrder,
+      int*                  pDerivWinLen,
+      const char*           pCmnPath,
+      const char*           pCmnMask,
+      const char*           pCvnPath,
+      const char*           pCvnMask,
+      const char*           pCvgFile)
+  {
+    mSwapFeatures       =   swap;         
+    mStartFrameExt      =   extLeft;      
+    mEndFrameExt        =   extRight;     
+    mTargetKind         =   targetKind;   
+    mDerivOrder         =   derivOrder;   
+    mDerivWinLengths    =   pDerivWinLen; 
+    mpCmnPath           =   pCmnPath;     
+    mpCmnMask           =   pCmnMask;     
+    mpCvnPath           =   pCvnPath;     
+    mpCvnMask           =   pCvnMask;     
+    mpCvgFile           =   pCvgFile;    
+  } // Init()
+
+
+  //***************************************************************************
+  //***************************************************************************
+  void
+  FeatureRepository::
+  AddFile(const std::string & rFileName)
+  {
+    mInputQueue.push_back(rFileName);
+  } // AddFile(const std::string & rFileName)
+
+  
+  //***************************************************************************
+  //***************************************************************************
+  void
+  FeatureRepository::
+  AddFileList(const char* pFileName, const char* pFilter)
+  {
+    IStkStream            l_stream;
+    std::string           file_name;
+    Tokenizer             file_list(pFileName, ",");
+    Tokenizer::iterator   p_file_name;
+
+    for (p_file_name = file_list.begin(); p_file_name != file_list.end(); ++p_file_name)
+    {
+      // get rid of spaces
+      Trim(*p_file_name);
+
+      // open the file
+      l_stream.open(p_file_name->c_str(), std::ios::in, pFilter);
+      
+      if (!l_stream.good())
+      {
+        //:TODO:
+        // Warning or error ... Why warning? -Lukas
+        throw std::runtime_error(std::string("Cannot not open list file ") +
+            *p_file_name);
+      }
+      // read all lines and parse them
+      for(;;)
+      {
+        l_stream >> file_name;
+        //:TODO: if(l_stream.badl()) Error()
+        // Reading after last token set the fail bit
+        if(l_stream.fail()) 
+	  break;
+        // we can push_back a std::string as new FileListElem object
+        // is created using FileListElem(const std::string&) constructor
+        // and logical and physical names are correctly extracted
+        mInputQueue.push_back(file_name);
+      }
+      l_stream.close();
+    }
+  } // AddFileList(const std::string & rFileName)
+
+  
+  //***************************************************************************
+  //***************************************************************************
+  void
+  FeatureRepository::
+  MoveNext()
+  {
+    assert (mInputQueueIterator != mInputQueue.end());
+    mInputQueueIterator++;
+  } // ReadFullMatrix(Matrix<BaseFloat>& rMatrix)
+
+
+  //***************************************************************************
+  //***************************************************************************
+  bool
+  FeatureRepository::
+  ReadFullMatrix(Matrix<BaseFloat>& rMatrix)
+  {
+    // clear the matrix
+    rMatrix.Destroy();
+
+    // extract index file name
+    if (!mCurrentIndexFileDir.empty())
+    {
+      char tmp_name[mCurrentIndexFileDir.length() + 
+        mCurrentIndexFileExt.length() + 
+        mInputQueueIterator->Physical().length()]; 
+      
+      MakeHtkFileName(tmp_name, mInputQueueIterator->Physical().c_str(), 
+          mCurrentIndexFileDir.c_str(), mCurrentIndexFileExt.c_str());
+      
+      mCurrentIndexFileName = tmp_name;
+    }
+    else
+      mCurrentIndexFileName = "";
+
+    //get the 3-letter suffix
+    int pos_last_three_chars = mInputQueueIterator->Physical().size() - 3;
+    if (pos_last_three_chars < 0) pos_last_three_chars = 0;
+    //read the gzipped ascii features
+    if (mInputQueueIterator->Physical().substr(pos_last_three_chars) == ".gz") {
+      return ReadGzipAsciiFeatures(*mInputQueueIterator, rMatrix);
+    }
+     
+    // read the matrix and return the result
+    return ReadHTKFeatures(*mInputQueueIterator, rMatrix);
+  } // ReadFullMatrix(Matrix<BaseFloat>& rMatrix)
+
+
+
+  //***************************************************************************
+  //***************************************************************************
+  bool
+  FeatureRepository::
+  WriteFeatureMatrix(const Matrix<BaseFloat>& rMatrix, const std::string& filename, int targetKind, int samplePeriod)
+  {
+    FILE* fp = fopen(filename.c_str(),"w");
+    if(NULL == fp) { Error(std::string("Cannot create file:") + filename); return false; }
+
+    WriteHTKFeatures(fp, samplePeriod, targetKind, mSwapFeatures, const_cast<Matrix<BaseFloat>&>(rMatrix));
+
+    fclose(fp);
+
+    return true;
+  }
+
+
+  //***************************************************************************
+  //***************************************************************************
+  // private:
+  int 
+  FeatureRepository::
+  ReadHTKHeader()
+  {
+    // TODO 
+    // Change this... We should read from StkStream
+    FILE* fp = mStream.fp();
+    
+    if (!fread(&mHeader.mNSamples,     sizeof(INT_32),  1, fp)) return -1;
+    if (!fread(&mHeader.mSamplePeriod, sizeof(INT_32),  1, fp)) return -1;
+    if (!fread(&mHeader.mSampleSize,   sizeof(INT_16),  1, fp)) return -1;
+    if (!fread(&mHeader.mSampleKind,   sizeof(UINT_16), 1, fp)) return -1;
+
+    if (mSwapFeatures) 
+    {
+      swap4(mHeader.mNSamples);
+      swap4(mHeader.mSamplePeriod);
+      swap2(mHeader.mSampleSize);
+      swap2(mHeader.mSampleKind);
+    }
+  
+    if (mHeader.mSamplePeriod < 0 
+    ||  mHeader.mSamplePeriod > 1000000
+    ||  mHeader.mNSamples     < 0 
+    ||  mHeader.mSampleSize   < 0) 
+    {
+      return -1;
+    }
+  
+    return 0;
+  }
+  
+  
+  //***************************************************************************
+  //***************************************************************************
+  // private:
+  int 
+  FeatureRepository::
+  ReadHTKFeature(
+      BaseFloat*    pIn, 
+      size_t    feaLen, 
+      bool      decompress, 
+      BaseFloat*    pScale, 
+      BaseFloat*    pBias)
+  {
+    FILE*  fp = mStream.fp();
+    
+    size_t i;
+    
+    if (decompress) 
+    {
+      INT_16 s;
+  //    BaseFloat pScale = (xmax - xmin) / (2*32767);
+  //    BaseFloat pBias  = (xmax + xmin) / 2;
+  
+      for (i = 0; i < feaLen; i++) 
+      {
+        if (fread(&s, sizeof(INT_16), 1, fp) != 1) 
+          return -1;
+        
+        if (mSwapFeatures) swap2(s);
+        pIn[i] = ((BaseFloat)s + pBias[i]) / pScale[i];
+      }
+      
+      return 0;
+    }
+  
+#if !DOUBLEPRECISION
+    if (fread(pIn, sizeof(FLOAT_32), feaLen, fp) != feaLen) 
+      return -1;
+    
+    if (mSwapFeatures) 
+      for (i = 0; i < feaLen; i++) 
+        swap4(pIn[i]);
+#else
+    float f;
+  
+    for (i = 0; i < feaLen; i++) 
+    {
+      if (fread(&f, sizeof(FLOAT_32), 1, fp) != 1)
+        return -1;
+      
+      if (mSwapFeatures) 
+        swap4(f);
+        
+      pIn[i] = f;
+    }
+#endif
+    return 0;
+  }  // int ReadHTKFeature
+  
+  
+
+  //***************************************************************************
+  //***************************************************************************
+/*  bool 
+  FeatureRepository::
+  ReadHTKFeatures(const std::string& rFileName, Matrix<BaseFloat>& rFeatureMatrix)
+  {
+    std::string           file_name(rFileName);
+    std::string           cmn_file_name;
+    std::string           cvn_file_name;  
+    
+    int                   ext_left  = mStartFrameExt;
+    int                   ext_right = mEndFrameExt;
+    int                   from_frame;
+    int                   to_frame;
+    int                   tot_frames;
+    int                   trg_vec_size;
+    int                   src_vec_size;
+    int                   src_deriv_order;
+    int                   lo_src_tgz_deriv_order;
+    int                   i;
+    int                   j;
+    int                   k;
+    int                   e;
+    int                   coefs;
+    int                   trg_E;
+    int                   trg_0;
+    int                   trg_N;
+    int                   src_E;
+    int                   src_0;
+    int                   src_N;
+    int                   comp;
+    int                   coef_size;
+    char*                 chptr;
+  
+    
+   
+    // read frame range definition if any ( physical_file.fea[s,e] )
+    if ((chptr = strrchr(file_name.c_str(), '[')) == NULL ||
+        ((i=0), sscanf(chptr, "[%d,%d]%n", &from_frame, &to_frame, &i), 
+         chptr[i] != '\0')) 
+    {
+      chptr = NULL;
+    }
+    
+    if (chptr != NULL)                                
+      *chptr = '\0';
+  
+  // Experimental changes...
+  // if ((strcmp(file_name.c_str(), "-"))
+  // &&  (mpLastFileName != NULL) 
+  // &&  (!strcmp(mpLastFileName, file_name.c_str()))) 
+  //   {
+  //     mHeader = mLastHeader;
+  //   } 
+  //   else 
+  //   {
+  //     if (mpLastFileName) 
+  //     {
+  //       //if (mpFp != stdin) 
+  //       //  fclose(mpFp);
+  //       mStream.close();
+  //       
+  //       free(mpLastFileName);
+  //       mpLastFileName = NULL;
+  //     }
+
+    if ((file_name != "-" )
+    &&  (!mLastFileName.empty()) 
+    &&  (mLastFileName == file_name)) 
+    {
+      mHeader = mLastHeader;
+    } 
+    else 
+    {
+      if (!mLastFileName.empty()) 
+      {
+        mStream.close();
+        mLastFileName = "";
+      }
+      
+      
+      // open the feature file
+      mStream.open(file_name.c_str(), ios::binary);
+      if (!mStream.good())
+      {
+        Error("Cannot open feature file: '%s'", file_name.c_str());
+      }
+      
+      
+      if (ReadHTKHeader()) 
+        Error("Invalid HTK header in feature file: '%s'", file_name.c_str());
+      
+      if (mHeader.mSampleKind & PARAMKIND_C) 
+      {
+        // File is in compressed form, scale and pBias vectors
+        // are appended after HTK header.
+  
+        int coefs = mHeader.mSampleSize/sizeof(INT_16);
+        mpA = (BaseFloat*) realloc(mpA, coefs * sizeof(BaseFloat));
+        mpB = (BaseFloat*) realloc(mpB, coefs * sizeof(BaseFloat));
+        if (mpA == NULL || mpB == NULL) Error("Insufficient memory");
+  
+        e  = ReadHTKFeature(mpA, coefs, 0, 0, 0);
+        e |= ReadHTKFeature(mpB, coefs, 0, 0, 0);
+        
+        if (e) 
+          Error("Cannot read feature file: '%s'", file_name.c_str());
+        
+        mHeader.mNSamples -= 2 * sizeof(FLOAT_32) / sizeof(INT_16);
+      }
+      
+      // remember current settings
+      mLastFileName = file_name;
+      mLastHeader   = mHeader;
+    }
+    
+    if (chptr != NULL) 
+      *chptr = '[';
+  
+    if (chptr == NULL) 
+    { // Range [s,e] was not specified
+      from_frame = 0;
+      to_frame   = mHeader.mNSamples-1;
+    }
+    
+    src_deriv_order = PARAMKIND_T & mHeader.mSampleKind ? 3 :
+                      PARAMKIND_A & mHeader.mSampleKind ? 2 :
+                      PARAMKIND_D & mHeader.mSampleKind ? 1 : 0;
+    src_E =  (PARAMKIND_E & mHeader.mSampleKind) != 0;
+    src_0 =  (PARAMKIND_0 & mHeader.mSampleKind) != 0;
+    src_N = ((PARAMKIND_N & mHeader.mSampleKind) != 0) * (src_E + src_0);
+    comp =    PARAMKIND_C & mHeader.mSampleKind;
+    
+    mHeader.mSampleKind &= ~PARAMKIND_C;
+  
+    if (mTargetKind == PARAMKIND_ANON) 
+    {
+      mTargetKind = mHeader.mSampleKind;
+    } 
+    else if ((mTargetKind & 077) == PARAMKIND_ANON) 
+    {
+      mTargetKind &= ~077;
+      mTargetKind |= mHeader.mSampleKind & 077;
+    }
+    
+    trg_E = (PARAMKIND_E & mTargetKind) != 0;
+    trg_0 = (PARAMKIND_0 & mTargetKind) != 0;
+    trg_N =((PARAMKIND_N & mTargetKind) != 0) * (trg_E + trg_0);
+  
+    coef_size     = comp ? sizeof(INT_16) : sizeof(FLOAT_32);
+    coefs         = (mHeader.mSampleSize/coef_size + src_N) / 
+                    (src_deriv_order+1) - src_E - src_0;
+    src_vec_size  = (coefs + src_E + src_0) * (src_deriv_order+1) - src_N;
+  
+    //Is coefs dividable by 1 + number of derivatives specified in header
+    if (src_vec_size * coef_size != mHeader.mSampleSize) 
+    {
+      Error("Invalid HTK header in feature file: '%s'. "
+            "mSampleSize do not match with parmKind", file_name.c_str());
+    }
+    
+    if (mDerivOrder < 0) 
+      mDerivOrder = src_deriv_order;
+  
+  
+    if ((!src_E && trg_E) || (!src_0 && trg_0) || (src_N && !trg_N) ||
+        (trg_N && !trg_E && !trg_0) || (trg_N && !mDerivOrder) ||
+        (src_N && !src_deriv_order && mDerivOrder) ||
+        ((mHeader.mSampleKind & 077) != (mTargetKind & 077) &&
+         (mHeader.mSampleKind & 077) != PARAMKIND_ANON)) 
+    {
+      char srcParmKind[64];
+      char trgParmKind[64];
+      
+      ParmKind2Str(mHeader.mSampleKind, srcParmKind);
+      ParmKind2Str(mTargetKind,       trgParmKind);
+      Error("Cannot convert %s to %s", srcParmKind, trgParmKind);
+    }
+  
+    lo_src_tgz_deriv_order = LOWER_OF(src_deriv_order, mDerivOrder);
+    trg_vec_size  = (coefs + trg_E + trg_0) * (mDerivOrder+1) - trg_N;
+    
+    i =  LOWER_OF(from_frame, mStartFrameExt);
+    from_frame  -= i;
+    ext_left     -= i;
+  
+    i =  LOWER_OF(mHeader.mNSamples-to_frame-1, mEndFrameExt);
+    to_frame    += i;
+    ext_right    -= i;
+  
+    if (from_frame > to_frame || from_frame >= mHeader.mNSamples || to_frame< 0)
+      Error("Invalid frame range for feature file: '%s'", file_name.c_str());
+    
+    tot_frames = to_frame - from_frame + 1 + ext_left + ext_right;
+    
+    // initialize matrix 
+    rFeatureMatrix.Init(tot_frames, trg_vec_size);
+    
+    // fill the matrix with features
+    for (i = 0; i <= to_frame - from_frame; i++) 
+    {
+      BaseFloat* A      = mpA;
+      BaseFloat* B      = mpB;
+      BaseFloat* mxPtr  = rFeatureMatrix[i+ext_left];
+      
+      // seek to the desired position
+      fseek(mStream.fp(), 
+          sizeof(HtkHeader) + (comp ? src_vec_size * 2 * sizeof(FLOAT_32) : 0)
+          + (from_frame + i) * src_vec_size * coef_size, 
+          SEEK_SET);
+  
+      e = ReadHTKFeature(mxPtr, coefs, comp, A, B);
+      
+      mxPtr += coefs; 
+      A     += coefs; 
+      B     += coefs;
+        
+      if (src_0 && !src_N) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+      if (trg_0 && !trg_N) mxPtr++;
+      if (src_E && !src_N) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+      if (trg_E && !trg_N) mxPtr++;
+  
+      for (j = 0; j < lo_src_tgz_deriv_order; j++) 
+      {
+        e |= ReadHTKFeature(mxPtr, coefs, comp, A, B);
+        mxPtr += coefs; 
+        A     += coefs; 
+        B     += coefs;
+        
+        if (src_0) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+        if (trg_0) mxPtr++;
+        if (src_E) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+        if (trg_E) mxPtr++;
+      }
+      
+      if (e) 
+        Error("Cannot read feature file: '%s' frame %d/%d", file_name.c_str(),
+            i, to_frame - from_frame + 1);
+    }
+  
+    // From now, coefs includes also trg_0 + trg_E !
+    coefs += trg_0 + trg_E; 
+    
+    // If extension of the matrix to the left or to the right is required,
+    // perform it here
+    for (i = 0; i < ext_left; i++) 
+    {
+      memcpy(rFeatureMatrix[i],
+             rFeatureMatrix[ext_left],
+             (coefs * (1+lo_src_tgz_deriv_order) - trg_N) * sizeof(BaseFloat));
+    }
+    
+    for (i = tot_frames - ext_right; i < tot_frames; i++) 
+    {
+      memcpy(rFeatureMatrix[i],
+             rFeatureMatrix[tot_frames - ext_right - 1],
+             (coefs * (1+lo_src_tgz_deriv_order) - trg_N) * sizeof(BaseFloat));
+    }
+
+    // Sentence cepstral mean normalization
+    if( (mpCmnPath == NULL)
+    && !(PARAMKIND_Z & mHeader.mSampleKind) 
+    &&  (PARAMKIND_Z & mTargetKind)) 
+    {
+      // for each coefficient
+      for(j=0; j < coefs; j++) 
+      {          
+        BaseFloat norm = 0.0;
+        for(i=0; i < tot_frames; i++)      // for each frame
+        {
+          norm += rFeatureMatrix[i][j - trg_N];
+          //norm += fea_mx[i*trg_vec_size - trg_N + j];
+        }
+        
+        norm /= tot_frames;
+  
+        for(i=0; i < tot_frames; i++)      // for each frame
+          rFeatureMatrix[i][j - trg_N] -= norm;
+          //fea_mx[i*trg_vec_size - trg_N + j] -= norm;
+      }
+    }
+    
+    // Compute missing derivatives
+    for (; src_deriv_order < mDerivOrder; src_deriv_order++) 
+    { 
+      int winLen = mDerivWinLengths[src_deriv_order];
+      BaseFloat norm = 0.0;
+      
+      for (k = 1; k <= winLen; k++) 
+      {
+        norm += 2 * k * k;
+      }
+      
+      // for each frame
+      for (i=0; i < tot_frames; i++) 
+      {        
+        // for each coefficient
+        for (j=0; j < coefs; j++) 
+        {          
+          //BaseFloat* src = fea_mx + i*trg_vec_size + src_deriv_order*coefs - trg_N + j;
+          BaseFloat* src = &rFeatureMatrix[i][src_deriv_order*coefs - trg_N + j];
+          
+          *(src + coefs) = 0.0;
+          
+          if (i < winLen || i >= tot_frames-winLen) 
+          { // boundaries need special treatment
+            for (k = 1; k <= winLen; k++) 
+            {  
+              *(src+coefs) += k*(src[ LOWER_OF(tot_frames-1-i,k)*rFeatureMatrix.Stride()]
+                                -src[-LOWER_OF(i,             k)*rFeatureMatrix.Stride()]);
+            }
+          } 
+          else 
+          { // otherwise use more efficient code
+            for (k = 1; k <= winLen; k++) 
+            {  
+              *(src+coefs) += k*(src[ k * rFeatureMatrix.Stride()]
+                                -src[-k * rFeatureMatrix.Stride()]);
+            }
+          }
+          *(src + coefs) /= norm;
+        }
+      }
+    }
+    
+    mHeader.mNSamples    = tot_frames;
+    mHeader.mSampleSize  = trg_vec_size * sizeof(FLOAT_32);
+    mHeader.mSampleKind  = mTargetKind & ~(PARAMKIND_D | PARAMKIND_A | PARAMKIND_T);
+  
+
+    ////////////////////////////////////////////////////////////////////////////
+    /////////////// Cepstral mean and variance normalization ///////////////////
+    ////////////////////////////////////////////////////////////////////////////
+    //.........................................................................
+    if (mpCmnPath != NULL
+    &&  mpCmnMask != NULL) 
+    {
+      // retrieve file name
+      ProcessMask(file_name, mpCmnMask, cmn_file_name);
+      // add the path correctly
+      cmn_file_name.insert(0, "/");
+      cmn_file_name.insert(0, mpCmnPath);
+
+      // read the file
+      ReadCepsNormFile(cmn_file_name.c_str(), &mpLastCmnFile, &mpCmn,
+          mHeader.mSampleKind & ~PARAMKIND_Z, CNF_Mean, coefs);
+                      
+      // recompute feature values
+      for (i=0; i < tot_frames; i++) 
+      {
+        for (j=trg_N; j < coefs; j++) 
+        {
+          rFeatureMatrix[i][j - trg_N] -= mpCmn[j];
+        }
+      }
+    }
+  
+    mHeader.mSampleKind |= mDerivOrder==3 ? PARAMKIND_D | PARAMKIND_A | PARAMKIND_T :
+                           mDerivOrder==2 ? PARAMKIND_D | PARAMKIND_A :
+                           mDerivOrder==1 ? PARAMKIND_D : 0;
+  
+    //.........................................................................
+    if (mpCvnPath != NULL
+    &&  mpCvnMask != NULL) 
+    {
+      // retrieve file name
+      ProcessMask(file_name, mpCvnMask, cvn_file_name);
+      // add the path correctly
+      cvn_file_name.insert(0, "/");
+      cvn_file_name.insert(0, mpCvnPath);
+
+      // read the file
+      ReadCepsNormFile(cvn_file_name.c_str(), &mpLastCvnFile, &mpCvn,
+          mHeader.mSampleKind, CNF_Variance, trg_vec_size);
+                      
+      // recompute feature values
+      for (i=0; i < tot_frames; i++) 
+      {
+        for (j=trg_N; j < trg_vec_size; j++) 
+        {
+          rFeatureMatrix[i][j - trg_N] *= mpCvn[j];
+        }
+      }
+    }
+    
+    //.........................................................................
+    // process the global covariance file
+    if (mpCvgFile != NULL) 
+    {
+      ReadCepsNormFile(mpCvgFile, &mpLastCvgFile, &mpCvg,
+                      -1, CNF_VarScale, trg_vec_size);
+                      
+      // recompute feature values
+      for (i=0; i < tot_frames; i++) 
+      {
+        for (j=trg_N; j < trg_vec_size; j++) 
+        {
+          rFeatureMatrix[i][j - trg_N] *= mpCvg[j];
+        }
+      }
+    }
+    
+    return true;
+  }
+*/
+
+  //***************************************************************************
+  //***************************************************************************
+
+
+
+
+  
+  //***************************************************************************
+  //***************************************************************************
+  bool 
+  FeatureRepository::
+  ReadHTKFeatures(const FileListElem&    rFileNameRecord, 
+                        Matrix<BaseFloat>&        rFeatureMatrix)
+  {
+    std::string           file_name(rFileNameRecord.Physical());
+    std::string           cmn_file_name;
+    std::string           cvn_file_name;  
+    
+    int                   ext_left  = mStartFrameExt;
+    int                   ext_right = mEndFrameExt;
+    int                   from_frame;
+    int                   to_frame;
+    int                   tot_frames;
+    int                   trg_vec_size;
+    int                   src_vec_size;
+    int                   src_deriv_order;
+    int                   lo_src_tgz_deriv_order;
+    int                   i;
+    int                   j;
+    int                   k;
+    int                   e;
+    int                   coefs;
+    int                   trg_E;
+    int                   trg_0;
+    int                   trg_N;
+    int                   src_E;
+    int                   src_0;
+    int                   src_N;
+    int                   comp;
+    int                   coef_size;
+    char*                 chptr;
+  
+
+  TIMER_START(mTim);
+   
+    // read frame range definition if any ( physical_file.fea[s,e] )
+    if ((chptr = strrchr((char*)file_name.c_str(), '[')) == NULL ||
+        ((i=0), sscanf(chptr, "[%d,%d]%n", &from_frame, &to_frame, &i), 
+         chptr[i] != '\0')) 
+    {
+      chptr = NULL;
+    }
+    
+    if (chptr != NULL)                                
+      *chptr = '\0';
+  
+
+    if ((file_name != "-" )
+    &&  (!mLastFileName.empty()) 
+    &&  (mLastFileName == file_name)) 
+    {
+      mHeader = mLastHeader;
+    } 
+    else 
+    {
+      if (!mLastFileName.empty()) 
+      {
+        mStream.close();
+        mLastFileName = "";
+      }
+      
+      
+      // open the feature file
+      mStream.open(file_name.c_str(), std::ios::binary);
+      if (!mStream.good())
+      {
+        throw std::runtime_error(std::string("Cannot open feature file: '") 
+            + file_name.c_str() + "'");
+      }
+      
+      
+      if (ReadHTKHeader())  {
+        throw std::runtime_error(std::string("Invalid HTK header in feature file: '") 
+            + file_name.c_str() + "'");
+      }
+      
+      if (mHeader.mSampleKind & PARAMKIND_C) 
+      {
+        // File is in compressed form, scale and pBias vectors
+        // are appended after HTK header.
+	    coefs = mHeader.mSampleSize/sizeof(INT_16);
+
+        mpA = (BaseFloat*) realloc(mpA, coefs * sizeof(BaseFloat));
+        mpB = (BaseFloat*) realloc(mpB, coefs * sizeof(BaseFloat));
+
+        if (mpA == NULL || mpB == NULL) {
+          throw std::runtime_error("Insufficient memory");
+        }
+  
+        e  = ReadHTKFeature(mpA, coefs, 0, 0, 0);
+        e |= ReadHTKFeature(mpB, coefs, 0, 0, 0);
+        
+        if (e) {
+          throw std::runtime_error(std::string("Cannot read feature file: '") 
+              + file_name.c_str() + "'");
+        }
+        
+        mHeader.mNSamples -= 2 * sizeof(FLOAT_32) / sizeof(INT_16);
+      }
+      
+      // remember current settings
+      mLastFileName = file_name;
+      mLastHeader   = mHeader;
+    }
+    
+    if (chptr != NULL) {
+      *chptr = '[';
+    }
+  
+    if (chptr == NULL) { 
+      // Range [s,e] was not specified
+      from_frame = 0;
+      to_frame   = mHeader.mNSamples-1;
+    }
+    
+    src_deriv_order = PARAMKIND_T & mHeader.mSampleKind ? 3 :
+                      PARAMKIND_A & mHeader.mSampleKind ? 2 :
+                      PARAMKIND_D & mHeader.mSampleKind ? 1 : 0;
+    src_E =  (PARAMKIND_E & mHeader.mSampleKind) != 0;
+    src_0 =  (PARAMKIND_0 & mHeader.mSampleKind) != 0;
+    src_N = ((PARAMKIND_N & mHeader.mSampleKind) != 0) * (src_E + src_0);
+    comp =    PARAMKIND_C & mHeader.mSampleKind;
+    
+    mHeader.mSampleKind &= ~PARAMKIND_C;
+  
+    if (mTargetKind == PARAMKIND_ANON) 
+    {
+      mTargetKind = mHeader.mSampleKind;
+    } 
+    else if ((mTargetKind & 077) == PARAMKIND_ANON) 
+    {
+      mTargetKind &= ~077;
+      mTargetKind |= mHeader.mSampleKind & 077;
+    }
+    
+    trg_E = (PARAMKIND_E & mTargetKind) != 0;
+    trg_0 = (PARAMKIND_0 & mTargetKind) != 0;
+    trg_N =((PARAMKIND_N & mTargetKind) != 0) * (trg_E + trg_0);
+  
+    coef_size     = comp ? sizeof(INT_16) : sizeof(FLOAT_32);
+    coefs         = (mHeader.mSampleSize/coef_size + src_N) / 
+                    (src_deriv_order+1) - src_E - src_0;
+    src_vec_size  = (coefs + src_E + src_0) * (src_deriv_order+1) - src_N;
+  
+    //Is coefs dividable by 1 + number of derivatives specified in header
+    if (src_vec_size * coef_size != mHeader.mSampleSize) 
+    {
+      throw std::runtime_error(std::string("Invalid HTK header in feature file: '") 
+            + file_name + "' mSampleSize do not match with parmKind");
+    }
+    
+    if (mDerivOrder < 0) 
+      mDerivOrder = src_deriv_order;
+  
+  
+    if ((!src_E && trg_E) || (!src_0 && trg_0) || (src_N && !trg_N) ||
+        (trg_N && !trg_E && !trg_0) || (trg_N && !mDerivOrder) ||
+        (src_N && !src_deriv_order && mDerivOrder) ||
+        ((mHeader.mSampleKind & 077) != (mTargetKind & 077) &&
+         (mHeader.mSampleKind & 077) != PARAMKIND_ANON)) 
+    {
+      char srcParmKind[64];
+      char trgParmKind[64];
+      memset(srcParmKind,0,64);
+      memset(trgParmKind,0,64);
+      
+      ParmKind2Str(mHeader.mSampleKind, srcParmKind);
+      ParmKind2Str(mTargetKind,       trgParmKind);
+      throw std::runtime_error(std::string("Cannot convert ") + srcParmKind 
+          + " to " + trgParmKind);
+    }
+  
+    lo_src_tgz_deriv_order = std::min(src_deriv_order, mDerivOrder);
+    trg_vec_size  = (coefs + trg_E + trg_0) * (mDerivOrder+1) - trg_N;
+    
+    i =  std::min(from_frame, mStartFrameExt);
+    from_frame  -= i;
+    ext_left     -= i;
+  
+    i =  std::min(mHeader.mNSamples-to_frame-1, mEndFrameExt);
+    to_frame    += i;
+    ext_right    -= i;
+  
+    if (from_frame > to_frame || from_frame >= mHeader.mNSamples || to_frame< 0)
+      throw std::runtime_error(std::string("Invalid frame range for feature file: '")
+            + file_name.c_str() + "'");
+    
+    tot_frames = to_frame - from_frame + 1 + ext_left + ext_right;
+   
+    
+   TIMER_END(mTim,mTimeOpen);
+
+
+    // initialize matrix 
+    rFeatureMatrix.Init(tot_frames, trg_vec_size, false);
+    
+    // fill the matrix with features
+    for (i = 0; i <= to_frame - from_frame; i++) 
+    {
+      BaseFloat* A      = mpA;
+      BaseFloat* B      = mpB;
+      BaseFloat* mxPtr  = rFeatureMatrix.pRowData(i+ext_left);
+
+    TIMER_START(mTim);      
+      // seek to the desired position
+      fseek(mStream.fp(), 
+          sizeof(HtkHeader) + (comp ? src_vec_size * 2 * sizeof(FLOAT_32) : 0)
+          + (from_frame + i) * src_vec_size * coef_size, 
+          SEEK_SET);
+    TIMER_END(mTim,mTimeSeek);
+ 
+    TIMER_START(mTim);
+      // read 
+      e = ReadHTKFeature(mxPtr, coefs, comp, A, B);
+    TIMER_END(mTim,mTimeRead);
+      
+      mxPtr += coefs; 
+      A     += coefs; 
+      B     += coefs;
+        
+      if (src_0 && !src_N) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+      if (trg_0 && !trg_N) mxPtr++;
+      if (src_E && !src_N) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+      if (trg_E && !trg_N) mxPtr++;
+  
+      for (j = 0; j < lo_src_tgz_deriv_order; j++) 
+      {
+        e |= ReadHTKFeature(mxPtr, coefs, comp, A, B);
+        mxPtr += coefs; 
+        A     += coefs; 
+        B     += coefs;
+        
+        if (src_0) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+        if (trg_0) mxPtr++;
+        if (src_E) e |= ReadHTKFeature(mxPtr, 1, comp, A++, B++);
+        if (trg_E) mxPtr++;
+      }
+
+      if (e) {
+        std::cout << mHeader.mNSamples << "\n";
+        std::cout << 2 * sizeof(FLOAT_32) / sizeof(INT_16) << "\n";
+        std::cout << "from" << from_frame << "to" << to_frame << "i" << i << "\n";
+
+        std::ostringstream s;
+        s << i << "/" << to_frame - from_frame + 1, s.str();
+        throw std::runtime_error(std::string("Cannot read feature file: '")
+              + file_name + "' frame " + s.str());
+      }
+    }
+  
+    // From now, coefs includes also trg_0 + trg_E !
+    coefs += trg_0 + trg_E; 
+    
+    // If extension of the matrix to the left or to the right is required,
+    // perform it here
+    for (i = 0; i < ext_left; i++) 
+    {
+      memcpy(rFeatureMatrix.pRowData(i),
+             rFeatureMatrix.pRowData(ext_left),
+             (coefs * (1+lo_src_tgz_deriv_order) - trg_N) * sizeof(BaseFloat));
+    }
+    
+    for (i = tot_frames - ext_right; i < tot_frames; i++) 
+    {
+      memcpy(rFeatureMatrix.pRowData(i),
+             rFeatureMatrix.pRowData(tot_frames - ext_right - 1),
+             (coefs * (1+lo_src_tgz_deriv_order) - trg_N) * sizeof(BaseFloat));
+    }
+
+    // Sentence cepstral mean normalization
+    if( (mpCmnPath == NULL)
+    && !(PARAMKIND_Z & mHeader.mSampleKind) 
+    &&  (PARAMKIND_Z & mTargetKind)) 
+    {
+      // for each coefficient
+      for(j=0; j < coefs; j++) 
+      {          
+        BaseFloat norm = 0.0;
+        for(i=0; i < tot_frames; i++)      // for each frame
+        {
+          norm += rFeatureMatrix[i][j - trg_N];
+          //norm += fea_mx[i*trg_vec_size - trg_N + j];
+        }
+        
+        norm /= tot_frames;
+  
+        for(i=0; i < tot_frames; i++)      // for each frame
+          rFeatureMatrix[i][j - trg_N] -= norm;
+          //fea_mx[i*trg_vec_size - trg_N + j] -= norm;
+      }
+    }
+    
+    // Compute missing derivatives
+    for (; src_deriv_order < mDerivOrder; src_deriv_order++) 
+    { 
+      int winLen = mDerivWinLengths[src_deriv_order];
+      BaseFloat norm = 0.0;
+      
+      for (k = 1; k <= winLen; k++) 
+      {
+        norm += 2 * k * k;
+      }
+      
+      // for each frame
+      for (i=0; i < tot_frames; i++) 
+      {        
+        // for each coefficient
+        for (j=0; j < coefs; j++) 
+        {          
+          //BaseFloat* src = fea_mx + i*trg_vec_size + src_deriv_order*coefs - trg_N + j;
+          BaseFloat* src = &rFeatureMatrix[i][src_deriv_order*coefs - trg_N + j];
+          
+          *(src + coefs) = 0.0;
+          
+          if (i < winLen || i >= tot_frames-winLen) 
+          { // boundaries need special treatment
+            for (k = 1; k <= winLen; k++) 
+            {  
+              *(src+coefs) += k*(src[ std::min(tot_frames-1-i,k)*rFeatureMatrix.Stride()]
+                                -src[-std::min(i,             k)*rFeatureMatrix.Stride()]);
+            }
+          } 
+          else 
+          { // otherwise use more efficient code
+            for (k = 1; k <= winLen; k++) 
+            {  
+              *(src+coefs) += k*(src[ k * rFeatureMatrix.Stride()]
+                                -src[-k * rFeatureMatrix.Stride()]);
+            }
+          }
+          *(src + coefs) /= norm;
+        }
+      }
+    }
+    
+    mHeader.mNSamples    = tot_frames;
+    mHeader.mSampleSize  = trg_vec_size * sizeof(FLOAT_32);
+    mHeader.mSampleKind  = mTargetKind & ~(PARAMKIND_D | PARAMKIND_A | PARAMKIND_T);
+  
+
+   TIMER_START(mTim);
+    ////////////////////////////////////////////////////////////////////////////
+    /////////////// Cepstral mean and variance normalization ///////////////////
+    ////////////////////////////////////////////////////////////////////////////
+    //.........................................................................
+    if (mpCmnPath != NULL
+    &&  mpCmnMask != NULL) 
+    {
+      // retrieve file name
+      ProcessMask(rFileNameRecord.Logical(), mpCmnMask, cmn_file_name);
+      // add the path correctly
+
+      if(cmn_file_name == "") {
+        throw std::runtime_error("CMN Matching failed");
+      }
+
+      cmn_file_name.insert(0, "/");
+      cmn_file_name.insert(0, mpCmnPath);
+
+      // read the file
+      ReadCepsNormFile(cmn_file_name.c_str(), &mpLastCmnFile, &mpCmn,
+          mHeader.mSampleKind & ~PARAMKIND_Z, CNF_Mean, coefs);
+                      
+      // recompute feature values
+      for (i=0; i < tot_frames; i++) 
+      {
+        for (j=trg_N; j < coefs; j++) 
+        {
+          rFeatureMatrix[i][j - trg_N] -= mpCmn[j];
+        }
+      }
+    }
+  
+    mHeader.mSampleKind |= mDerivOrder==3 ? PARAMKIND_D | PARAMKIND_A | PARAMKIND_T :
+                           mDerivOrder==2 ? PARAMKIND_D | PARAMKIND_A :
+                           mDerivOrder==1 ? PARAMKIND_D : 0;
+  
+    //.........................................................................
+    if (mpCvnPath != NULL
+    &&  mpCvnMask != NULL) 
+    {
+      // retrieve file name
+      ProcessMask(rFileNameRecord.Logical(), mpCvnMask, cvn_file_name);
+      // add the path correctly
+      cvn_file_name.insert(0, "/");
+      cvn_file_name.insert(0, mpCvnPath);
+
+      // read the file
+      ReadCepsNormFile(cvn_file_name.c_str(), &mpLastCvnFile, &mpCvn,
+          mHeader.mSampleKind, CNF_Variance, trg_vec_size);
+                      
+      // recompute feature values
+      for (i=0; i < tot_frames; i++) 
+      {
+        for (j=trg_N; j < trg_vec_size; j++) 
+        {
+          rFeatureMatrix[i][j - trg_N] *= mpCvn[j];
+        }
+      }
+    }
+    
+    //.........................................................................
+    // process the global covariance file
+    if (mpCvgFile != NULL) 
+    {
+      ReadCepsNormFile(mpCvgFile, &mpLastCvgFile, &mpCvg,
+                      -1, CNF_VarScale, trg_vec_size);
+                      
+      // recompute feature values
+      for (i=0; i < tot_frames; i++) 
+      {
+        for (j=trg_N; j < trg_vec_size; j++) 
+        {
+          rFeatureMatrix[i][j - trg_N] *= mpCvg[j];
+        }
+      }
+    }
+
+  TIMER_END(mTim,mTimeNormalize);
+    
+    return true;
+  }
+
+
+  //***************************************************************************
+  //***************************************************************************
+  int 
+  FeatureRepository::
+  ReadParmKind(const char *str, bool checkBrackets)
+  {
+    unsigned int  i;
+    int           parmKind =0;
+    int           slen     = strlen(str);
+  
+    if (checkBrackets) 
+    {
+      if (str[0] != '<' || str[slen-1] != '>')  return -1;
+      str++; slen -= 2;
+    }
+    
+    for (; slen >= 0 && str[slen-2] == '_'; slen -= 2) 
+    {
+      parmKind |= str[slen-1] == 'E' ? PARAMKIND_E :
+                  str[slen-1] == 'N' ? PARAMKIND_N :
+                  str[slen-1] == 'D' ? PARAMKIND_D :
+                  str[slen-1] == 'A' ? PARAMKIND_A :
+                  str[slen-1] == 'C' ? PARAMKIND_C :
+                  str[slen-1] == 'Z' ? PARAMKIND_Z :
+                  str[slen-1] == 'K' ? PARAMKIND_K :
+                  str[slen-1] == '0' ? PARAMKIND_0 :
+                  str[slen-1] == 'V' ? PARAMKIND_V :
+                  str[slen-1] == 'T' ? PARAMKIND_T : -1;
+  
+      if (parmKind == -1) return -1;
+    }
+    
+    for (i = 0; i < sizeof(mpParmKindNames) / sizeof(char*); i++) 
+    {
+      if (!strncmp(str, mpParmKindNames[i], slen))
+        return parmKind | i;
+    }
+    return -1;
+  }
+
+
+
+
+  //***************************************************************************
+  //***************************************************************************
+  int
+  FeatureRepository:: 
+  WriteHTKHeader (FILE * pOutFp, HtkHeader header, bool swap)
+  {
+    int cc;
+  
+    if (swap) {
+      swap4(header.mNSamples);
+      swap4(header.mSamplePeriod);
+      swap2(header.mSampleSize);
+      swap2(header.mSampleKind);
+    }
+  
+    fseek (pOutFp, 0L, SEEK_SET);
+    cc = fwrite(&header, sizeof(HtkHeader), 1, pOutFp);
+  
+    if (swap) {
+      swap4(header.mNSamples);
+      swap4(header.mSamplePeriod);
+      swap2(header.mSampleSize);
+      swap2(header.mSampleKind);
+    }
+  
+    return cc == 1 ? 0 : -1;
+  }
+  
+  
+  //***************************************************************************
+  //***************************************************************************
+  int 
+  FeatureRepository::
+  WriteHTKFeature(
+    FILE * pOutFp,
+    FLOAT * pOut,
+    size_t feaLen,
+    bool swap,
+    bool compress,
+    FLOAT* pScale, 
+    FLOAT* pBias)
+  {
+    size_t    i;
+    size_t    cc = 0;
+
+
+    if (compress) 
+    {
+      INT_16 s;
+        
+      for (i = 0; i < feaLen; i++) 
+      {
+	s = pOut[i] * pScale[i] - pBias[i];
+        if (swap) 
+	  swap2(s);
+	cc += fwrite(&s, sizeof(INT_16), 1, pOutFp);
+      }
+      
+    } else {
+  #if !DOUBLEPRECISION
+      if (swap) 
+        for (i = 0; i < feaLen; i++) 
+          swap4(pOut[i]);
+    
+        cc = fwrite(pOut, sizeof(FLOAT_32), feaLen, pOutFp);
+    
+      if (swap) 
+        for (i = 0; i < feaLen; i++) 
+          swap4(pOut[i]);
+  #else
+      FLOAT_32 f;
+  
+      for (i = 0; i < feaLen; i++) 
+      {
+        f = pOut[i];
+        if (swap) 
+          swap4(f);
+        cc += fwrite(&f, sizeof(FLOAT_32), 1, pOutFp);
+      }
+  #endif
+    }
+    return cc == feaLen ? 0 : -1;
+  }
+
+  //***************************************************************************
+  //***************************************************************************
+  int 
+  FeatureRepository::
+  WriteHTKFeatures(
+    FILE *  pOutFp,
+    FLOAT * pOut,
+    int     nCoeffs,
+    int     nSamples,
+    int     samplePeriod,
+    int     targetKind,  
+    bool    swap) 
+  {
+    HtkHeader header;
+    int i, j;
+    FLOAT *pScale = NULL;
+    FLOAT *pBias = NULL;
+    
+    header.mNSamples = nSamples  + ((targetKind & PARAMKIND_C) ? 2 * sizeof(FLOAT_32) / sizeof(INT_16) : 0);
+    header.mSamplePeriod = samplePeriod;
+    header.mSampleSize = nCoeffs * ((targetKind & PARAMKIND_C) ?    sizeof(INT_16)   : sizeof(FLOAT_32));;
+    header.mSampleKind = targetKind;
+    
+    WriteHTKHeader (pOutFp, header, swap);
+
+    if(targetKind & PARAMKIND_C) {
+      pScale = (FLOAT*) malloc(nCoeffs * sizeof(FLOAT));
+      pBias = (FLOAT*)  malloc(nCoeffs * sizeof(FLOAT));
+      if (pScale == NULL || pBias == NULL) Error("Insufficient memory");
+      
+      for(i = 0; i < nCoeffs; i++) {
+        float xmin, xmax;
+	xmin = xmax = pOut[i];
+	for(j = 1; j < nSamples; j++) {
+	  if(pOut[j*nCoeffs+i] > xmax) xmax = pOut[j*nCoeffs+i];
+	  if(pOut[j*nCoeffs+i] < xmin) xmin = pOut[j*nCoeffs+i];
+	}
+	pScale[i] = (2*32767) / (xmax - xmin);
+        pBias[i]  = pScale[i] * (xmax + xmin) / 2;
+	
+	
+      }
+      if (WriteHTKFeature(pOutFp, pScale, nCoeffs, swap, false, 0, 0)
+      ||  WriteHTKFeature(pOutFp, pBias,  nCoeffs, swap, false, 0, 0)) {
+        return -1;
+      }
+    }
+    for(j = 0; j < nSamples; j++) {
+      if (WriteHTKFeature(pOutFp, &pOut[j*nCoeffs], nCoeffs, swap, targetKind & PARAMKIND_C, pScale, pBias)) {
+        return -1;
+      }
+    }
+    return 0;
+  }
+  
+
+  //***************************************************************************
+  //***************************************************************************
+  int 
+  FeatureRepository::
+  WriteHTKFeatures(
+    FILE *  pOutFp,
+    int     samplePeriod,
+    int     targetKind,  
+    bool    swap,
+    Matrix<BaseFloat>&        rFeatureMatrix)
+  {
+    HtkHeader header;
+    size_t i, j;
+    FLOAT *p_scale = NULL;
+    FLOAT *p_bias = NULL;
+    size_t n_samples = rFeatureMatrix.Rows();
+    size_t n_coeffs  = rFeatureMatrix.Cols();
+    
+    header.mNSamples = n_samples  + ((targetKind & PARAMKIND_C) ? 2 * sizeof(FLOAT_32) / sizeof(INT_16) : 0);
+    header.mSamplePeriod = samplePeriod;
+    header.mSampleSize = n_coeffs * ((targetKind & PARAMKIND_C) ?    sizeof(INT_16)   : sizeof(FLOAT_32));;
+    header.mSampleKind = targetKind;
+    
+    WriteHTKHeader (pOutFp, header, swap);
+
+    if(targetKind & PARAMKIND_C) {
+      p_scale = (FLOAT*) malloc(n_coeffs * sizeof(FLOAT));
+      p_bias = (FLOAT*)  malloc(n_coeffs * sizeof(FLOAT));
+      if (p_scale == NULL || p_bias == NULL) Error("Insufficient memory");
+      
+      for(i = 0; i < n_coeffs; i++) {
+        float xmin, xmax;
+	xmin = xmax = rFeatureMatrix[0][i];
+
+	for(j = 1; j < n_samples; j++) {
+	  if(rFeatureMatrix[j][i] > xmax) xmax = rFeatureMatrix[j][i];
+	  if(rFeatureMatrix[j][i] < xmin) xmin = rFeatureMatrix[j][i];
+	}
+
+	p_scale[i] = (2*32767) / (xmax - xmin);
+        p_bias[i]  = p_scale[i] * (xmax + xmin) / 2;
+      }
+
+      if (WriteHTKFeature(pOutFp, p_scale, n_coeffs, swap, false, 0, 0)
+      ||  WriteHTKFeature(pOutFp, p_bias,  n_coeffs, swap, false, 0, 0)) {
+        return -1;
+      }
+    }
+
+    for(j = 0; j < n_samples; j++) {
+      if (WriteHTKFeature(pOutFp, rFeatureMatrix[j].pData(), n_coeffs, swap, targetKind & PARAMKIND_C, p_scale, p_bias)) {
+        return -1;
+      }
+    }
+
+    return 0;
+  }
+  
+  //***************************************************************************
+  //***************************************************************************
+
+
+  bool 
+  FeatureRepository::
+  ReadGzipAsciiFeatures(const FileListElem& rFileNameRecord, Matrix<BaseFloat>& rFeatureMatrix)
+  {
+    //build the command
+    std::string cmd("gunzip -c "); cmd += rFileNameRecord.Physical();
+
+    //define buffer
+    const int buf_size=262144;
+    char buf[buf_size];
+    char vbuf[2*buf_size];
+
+   TIMER_START(mTim);      
+    //open the pipe
+    FILE* fp = popen(cmd.c_str(),"r");
+    if(fp == NULL) {
+      //2nd try...
+      Warning(std::string("2nd try to open pipe: ")+cmd);
+      sleep(5);
+      fp = popen(cmd.c_str(),"r");
+      if(fp == NULL) {
+        KALDI_ERR << "Cannot open pipe: " << cmd;
+      }
+    }
+    setvbuf(fp,vbuf,_IOFBF,2*buf_size);
+   TIMER_END(mTim,mTimeOpen);
+
+    //string will stay allocated across calls
+    static std::string line; line.resize(0);
+
+    //define matrix storage
+    static int cols = 131072;
+    std::list<std::vector<BaseFloat> > matrix(1);
+    matrix.front().reserve(cols);
+
+    //read all the lines to a vector
+    int line_ctr=1;
+    while(1) {
+     TIMER_START(mTim);      
+      if(NULL == fgets(buf,buf_size,fp)) break;
+     TIMER_END(mTim,mTimeRead);
+      
+      line += buf;
+      if(*(line.rbegin()) == '\n' || feof(fp)) {
+        //parse the line of numbers
+       TIMER_START(mTim);      
+        const char* ptr = line.c_str();
+        char* end;
+        while(1) {
+          //skip whitespace
+          while(isspace(*ptr)) ptr++;
+          if(*ptr == 0) break;
+          //check that a number follows
+          switch(*ptr) {
+            case '0': case '1': case '2': case '3': case '4': 
+            case '5': case '6': case '7': case '8': case '9':
+            case '.': case '+': case '-': 
+            break;
+            default : KALDI_ERR << "A number was expected:" << ptr
+                                << " reading from" << cmd; 
+                      exit(1);
+          }
+          //read a number
+          BaseFloat val = strtof(ptr,&end); ptr=end;
+          matrix.back().push_back(val);
+        }
+       TIMER_END(mTim,mTimeNormalize);
+        //we have the line of numbers, insert empty row to matrix
+        if(matrix.back().size() > 0 && !feof(fp)) {
+          matrix.push_back(std::vector<BaseFloat>());
+          matrix.back().reserve(matrix.front().size());
+        }
+        //dispose the current line
+        line.resize(0);//but stay allocated... 
+        line_ctr++;
+      }
+    }
+    if(matrix.back().size() == 0) matrix.pop_back();
+
+    //get matrix dimensions
+    int rows = matrix.size();
+    /*int*/ cols = matrix.front().size();
+
+    //define interators
+    std::list<std::vector<BaseFloat> >::iterator it_r;
+    std::vector<BaseFloat>::iterator it_c;
+
+    //check that all lines have same size
+    int i;
+    for(i=0,it_r=matrix.begin(); it_r != matrix.end(); ++i,++it_r) {
+      if(it_r->size() != cols) {
+        KALDI_ERR << "All rows must have same dimension, 1st line cols: " << cols 
+                  << ", " << i << "th line cols: " << it_r->size();
+      }
+    }
+
+    //copy data to matrix
+   TIMER_START(mTim);      
+    rFeatureMatrix.Init(rows,cols);
+    int r,c;
+    for(r=0,it_r=matrix.begin(); it_r!=matrix.end(); ++r,++it_r) {
+      for(c=0,it_c=it_r->begin(); it_c!=it_r->end(); ++c,++it_c) {
+        rFeatureMatrix(r,c) = *it_c;
+      }
+    }
+   TIMER_END(mTim,mTimeSeek);
+
+    //close the pipe
+    if(pclose(fp) == -1) {
+      KALDI_ERR << "Cannot close pipe: " << cmd;
+    }
+    
+    return true;
+  }
+
+
+  //***************************************************************************
+  //***************************************************************************
+
+} // namespace TNet