/usr/include/sphinx3/ms_mllr.h is in libs3decoder-dev 0.8-0ubuntu1.
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/* ====================================================================
* Copyright (c) 1999-2004 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
* 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.
*
* ====================================================================
*
*/
/*
* ms_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 1.7 2006/02/22 17:21:35 arthchan2003
* Merged from SPHINX3_5_2_RCI_IRII_BRANCH: 1, Added ms_mllr.[ch]
*
* Revision 1.6.4.1 2005/07/20 19:39:01 arthchan2003
* Added licences in ms_* series of code.
*
* Revision 1.6 2005/06/21 18:56:13 arthchan2003
* 1, Fixed doxygen documentation. 2, Added $ keyword.
*
* Revision 1.6 2005/06/19 04:50:02 archan
* Sphinx3 to s3.generic: allow multiple classes for MLLR
*
* Revision 1.5 2005/06/13 04:02:56 archan
* Fixed most doxygen-style documentation under libs3decoder.
*
* Revision 1.4 2005/03/30 01:22:47 archan
* Fixed mistakes in last updates. Add
*
*
* 26-Sep-96 M K Ravishankar (rkm@cs.cmu.edu) at Carnegie Mellon University
* Started.
*/
#ifndef _MS_MLLR_H_
#define _MS_MLLR_H_
#include <s3types.h>
/** \file ms_mllr.h
\brief (Sphinx 3.0 specific) Multiple stream MLLR.
*/
#ifdef __cplusplus
extern "C" {
#endif
#if 0
} /* Fool Emacs into not indenting things. */
#endif
/**
* 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 value: 0 if successful, -1 otherwise.
*/
int32 ms_mllr_read_regmat (const char *regmatfile, /**< In: File to be read */
float32 *****A, /**< Out: [*A][stream][nclass][streamlen][streamlen] */
float32 ****B, /**< Out: [*B][stream][nclass][streamlen] */
int32 *streamlen, /**< In: Dimension of each feature stream */
int32 n_stream, /**< In: #Feature streams */
int32 *nclass /**< Out: number of classes */
);
/**
* Free a regression matrix previously read in by mllr_read_regmat.
* Return value: 0 if successful, -1 otherwise.
*/
int32 ms_mllr_free_regmat (float32 ****A, /**< In: A[stream][nclass][streamlen][streamlen] */
float32 ***B, /**< In: B[stream][nclass][streamlen] */
int32 n_stream /**< In: #Feature streams */
);
/**
* Transform a mixture density mean matrix according to the given regression matrix.
* Return value: 0 if successful, -1 otherwise.
*/
int32 ms_mllr_norm_mgau (float32 ***mean, /**<< In/Out: Set of vectors to be transformed:
mean[stream][density] */
int32 n_density, /**< In: #densities in above mean matrix */
float32 ****A, /**< In: "matrix" portion of regression matrix */
float32 ***B, /**< In: "vector" portion of regression matrix */
int32 *streamlen, /**< In: Dimension of each feature stream */
int32 n_stream, /**< In: #Feature streams */
int32 _class /**< In: number of classes */
);
#if 0
{ /* Stop indent from complaining */
#endif
#ifdef __cplusplus
}
#endif
#endif
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