/usr/include/sphinx3/mllr.h is in libs3decoder-dev 0.8-0ubuntu1.
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/* ====================================================================
* Copyright (c) 1995-2004 Carnegie Mellon University. All rights
* reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
*
* 2. 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.
*
* This work was supported in part by funding from the Defense Advanced
* Research Projects Agency and the National Science Foundation of the
* United States of America, and the CMU Sphinx Speech Consortium.
*
* THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND
* ANY EXPRESSED 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 CARNEGIE MELLON UNIVERSITY
* NOR ITS EMPLOYEES 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
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* (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
* OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*
* ====================================================================
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*/
/*
* mllr.h -- Application of MLLR regression matrices to codebook means
*
* **********************************************
* CMU ARPA Speech Project
*
* Copyright (c) 1996 Carnegie Mellon University.
* ALL RIGHTS RESERVED.
* **********************************************
*
* HISTORY
* $Log$
* Revision 1.1 2006/04/05 20:27:30 dhdfu
* A Great Reorganzation of header files and executables
*
* Revision 1.6 2005/06/21 18:50:45 arthchan2003
* Log. 1, Fixed doxygen documentation, 2, Added $Log$
* Revision 1.1 2006/04/05 20:27:30 dhdfu
* A Great Reorganzation of header files and executables
* keyword.
*
* Revision 1.5 2005/06/19 19:41:22 archan
* Sphinx3 to s3.generic: Added multiple regression class for single stream MLLR. Enabled MLLR for livepretend and decode.
*
* Revision 1.4 2005/06/13 04:02:55 archan
* Fixed most doxygen-style documentation under libs3decoder.
*
* Revision 1.3 2005/03/30 01:22:47 archan
* Fixed mistakes in last updates. Add
*
*
* 24-Jul-04 ARCHAN (archan@cs.cmu.edu) at Carnegie Mellon University
* First checked in from sphinx 3.0 to sphinx 3.5
*
* 26-Sep-96 M K Ravishankar (rkm@cs.cmu.edu) at Carnegie Mellon University
* Started.
*/
#ifndef _MLLR_H_
#define _MLLR_H_
/** \file mllr.h
* \brief (Sphinx 3.X specific) Single Stream MLLR.
*/
#ifdef __cplusplus
extern "C" {
#endif
#if 0
} /* Fool Emacs into not indenting things. */
#endif
#include <s3types.h>
#include "cont_mgau.h"
/** Dump the regression matrix from a given file */
void mllr_dump(float32 ***A, /**< In: [nclass][streamlen][streamlen]*/
float32 **B, /**< In: [nclass][streamlen]*/
int32 veclen, /**< In: vector length*/
int32 nclass /**< In: Number of classes */
);
/*
* Load a regression matrix from the given file. Space for the matrix is allocated
* by this routine. (The regression "matrix" is actually a matrix A and a vector B.)
* @return 0 if successful, -1 otherwise.
*/
int32 mllr_read_regmat (const char *regmatfile, /**< In: File to be read */
float32 ****A, /**< Out: [*A][nclass][streamlen][streamlen] */
float32 ***B, /**< Out: [*B][nclass][streamlen] */
int32 *nclass, /**< Out: number of classes */
int32 ceplen); /**< In: vector length */
/**
* Free a regression matrix previously read in by mllr_read_regmat.
* @return 0 if successful, -1 otherwise.
*/
int32 mllr_free_regmat (float32 ***A, /**< In: A[streamlen][streamlen] */
float32 **B /**< In: B[streamlen] */
);
/**
* Transform a mixture density mean matrix according to the given regression matrix.
* @return 0 if successful, -1 otherwise.
*/
int32 mllr_norm_mgau (mgau_model_t *mgauset, /**< In/Out: The gaussian distribution needs to be transformed */
float32 ***A, /**< In: "matrix" portion of regression matrix */
float32 **B, /**< In: "vector" portion of regression matrix */
int32 nclass, /**< In: number of classes */
int32 *cb2mllr /**< In: class to senone mapping */
);
#if 0
{ /* Stop indent from complaining */
#endif
#ifdef __cplusplus
}
#endif
#endif
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