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📄 s2_semi_mgau.h

📁 WinCE平台上的语音识别程序
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/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- *//* ==================================================================== * 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. * * ==================================================================== * *//* * Interface for "semi-continuous vector quantization", a.k.a. Sphinx2 * fast GMM computation. */#ifndef __S2_SEMI_MGAU_H__#define __S2_SEMI_MGAU_H__#include "sphinx_types.h"#include "fe.h"#include "kdtree.h"typedef struct {    union {        int32	score;        int32	dist;	/* distance to next closest vector */    } val;    int32 codeword;		/* codeword (vector index) */} vqFeature_t;typedef vqFeature_t *vqFrame_t;typedef struct s2_semi_mgau_s s2_semi_mgau_t;struct s2_semi_mgau_s {    int32   **dets;	/* det values foreach feature */    mean_t  **means;	/* mean vectors foreach feature */    var_t   **vars;	/* var vectors foreach feature */    unsigned char ***OPDF_8B; /* mixture weights */    int32 n_feat;	/* Number of feature streams */    int32 *veclen;	/* Length of feature streams */    int32 n_density;	/* Number of mixtures per codebook */    int32 topN;		/* Number of top densities to compute (<S2_MAX_TOPN) */    int32 CdWdPDFMod;	/* Legacy thing, actually means number of mixw */    kd_tree_t **kdtrees;    uint32 n_kdtrees;    uint32 kd_maxdepth;    int32 kd_maxbbi;    int32 num_frames;    int32 ds_ratio;    /* Top-N scores and codewords from current, last frame. */    vqFeature_t **f, **lastf;    int32 *score_tmp;};s2_semi_mgau_t *s2_semi_mgau_init(const char *mean_path, const char *var_path,				  float64 varfloor, const char *mixw_path,				  float64 mixwfloor, int32 topn);void s2_semi_mgau_free(s2_semi_mgau_t *s);int32 s2_semi_mgau_frame_eval(s2_semi_mgau_t *s,			      mfcc_t **featbuf,			      int32 frame,                              int32 compallsen);int32 s2_semi_mgau_load_kdtree(s2_semi_mgau_t *s, const char *kdtree_path,			       uint32 maxdepth, int32 maxbbi);#endif /*  __S2_SEMI_MGAU_H__ */

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