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<h1>src/libpocketsphinx/ps_mllr.c</h1> </div>
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<a href="ps__mllr_8c.html">Go to the documentation of this file.</a><div class="fragment"><pre class="fragment"><a name="l00001"></a>00001 <span class="comment">/* -*- c-basic-offset: 4; indent-tabs-mode: nil -*- */</span>
<a name="l00002"></a>00002 <span class="comment">/* ====================================================================</span>
<a name="l00003"></a>00003 <span class="comment"> * Copyright (c) 2009 Carnegie Mellon University. All rights</span>
<a name="l00004"></a>00004 <span class="comment"> * reserved.</span>
<a name="l00005"></a>00005 <span class="comment"> *</span>
<a name="l00006"></a>00006 <span class="comment"> * Redistribution and use in source and binary forms, with or without</span>
<a name="l00007"></a>00007 <span class="comment"> * modification, are permitted provided that the following conditions</span>
<a name="l00008"></a>00008 <span class="comment"> * are met:</span>
<a name="l00009"></a>00009 <span class="comment"> *</span>
<a name="l00010"></a>00010 <span class="comment"> * 1. Redistributions of source code must retain the above copyright</span>
<a name="l00011"></a>00011 <span class="comment"> * notice, this list of conditions and the following disclaimer. </span>
<a name="l00012"></a>00012 <span class="comment"> *</span>
<a name="l00013"></a>00013 <span class="comment"> * 2. Redistributions in binary form must reproduce the above copyright</span>
<a name="l00014"></a>00014 <span class="comment"> * notice, this list of conditions and the following disclaimer in</span>
<a name="l00015"></a>00015 <span class="comment"> * the documentation and/or other materials provided with the</span>
<a name="l00016"></a>00016 <span class="comment"> * distribution.</span>
<a name="l00017"></a>00017 <span class="comment"> *</span>
<a name="l00018"></a>00018 <span class="comment"> * This work was supported in part by funding from the Defense Advanced </span>
<a name="l00019"></a>00019 <span class="comment"> * Research Projects Agency and the National Science Foundation of the </span>
<a name="l00020"></a>00020 <span class="comment"> * United States of America, and the CMU Sphinx Speech Consortium.</span>
<a name="l00021"></a>00021 <span class="comment"> *</span>
<a name="l00022"></a>00022 <span class="comment"> * THIS SOFTWARE IS PROVIDED BY CARNEGIE MELLON UNIVERSITY ``AS IS'' AND </span>
<a name="l00023"></a>00023 <span class="comment"> * ANY EXPRESSED OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, </span>
<a name="l00024"></a>00024 <span class="comment"> * THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR</span>
<a name="l00025"></a>00025 <span class="comment"> * PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL CARNEGIE MELLON UNIVERSITY</span>
<a name="l00026"></a>00026 <span class="comment"> * NOR ITS EMPLOYEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,</span>
<a name="l00027"></a>00027 <span class="comment"> * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT </span>
<a name="l00028"></a>00028 <span class="comment"> * LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, </span>
<a name="l00029"></a>00029 <span class="comment"> * DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY </span>
<a name="l00030"></a>00030 <span class="comment"> * THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT </span>
<a name="l00031"></a>00031 <span class="comment"> * (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE </span>
<a name="l00032"></a>00032 <span class="comment"> * OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.</span>
<a name="l00033"></a>00033 <span class="comment"> *</span>
<a name="l00034"></a>00034 <span class="comment"> * ====================================================================</span>
<a name="l00035"></a>00035 <span class="comment"> *</span>
<a name="l00036"></a>00036 <span class="comment"> */</span>
<a name="l00037"></a>00037
<a name="l00042"></a>00042 <span class="comment">/* System headers. */</span>
<a name="l00043"></a>00043 <span class="preprocessor">#include <stdio.h></span>
<a name="l00044"></a>00044
<a name="l00045"></a>00045 <span class="comment">/* SphinxBase headers. */</span>
<a name="l00046"></a>00046 <span class="preprocessor">#include <sphinxbase/ckd_alloc.h></span>
<a name="l00047"></a>00047
<a name="l00048"></a>00048 <span class="comment">/* Local headers. */</span>
<a name="l00049"></a>00049 <span class="preprocessor">#include "<a class="code" href="acmod_8h.html" title="Acoustic model structures for PocketSphinx.">acmod.h</a>"</span>
<a name="l00050"></a>00050
<a name="l00051"></a>00051 <a class="code" href="structps__mllr__s.html" title="Feature space linear transform structure.">ps_mllr_t</a> *
<a name="l00052"></a><a class="code" href="ps__mllr_8c.html#ab62fb9c8cf3bdeed75a7ac2870d56a5a">00052</a> <a class="code" href="ps__mllr_8h.html#a05d268b1d79a1be2ae96093c96aad79d" title="Read a speaker-adaptive linear transform from a file.">ps_mllr_read</a>(<span class="keywordtype">char</span> <span class="keyword">const</span> *regmatfile)
<a name="l00053"></a>00053 {
<a name="l00054"></a>00054 <a class="code" href="structps__mllr__s.html" title="Feature space linear transform structure.">ps_mllr_t</a> *mllr;
<a name="l00055"></a>00055 FILE *fp;
<a name="l00056"></a>00056 <span class="keywordtype">int</span> n, i, m, j, k;
<a name="l00057"></a>00057
<a name="l00058"></a>00058 mllr = ckd_calloc(1, <span class="keyword">sizeof</span>(*mllr));
<a name="l00059"></a>00059 mllr-><a class="code" href="structps__mllr__s.html#ac138bd81a40d8569d795463ea1ec52bd" title="Reference count.">refcnt</a> = 1;
<a name="l00060"></a>00060
<a name="l00061"></a>00061 <span class="keywordflow">if</span> ((fp = fopen(regmatfile, <span class="stringliteral">"r"</span>)) == NULL) {
<a name="l00062"></a>00062 E_ERROR_SYSTEM(<span class="stringliteral">"Failed to open MLLR file '%s' for reading: %s\n"</span>, regmatfile, strerror(errno));
<a name="l00063"></a>00063 <span class="keywordflow">goto</span> error_out;
<a name="l00064"></a>00064 }
<a name="l00065"></a>00065 <span class="keywordflow">else</span>
<a name="l00066"></a>00066 E_INFO(<span class="stringliteral">"Reading MLLR transformation file %s\n"</span>, regmatfile);
<a name="l00067"></a>00067
<a name="l00068"></a>00068 <span class="keywordflow">if</span> ((fscanf(fp, <span class="stringliteral">"%d"</span>, &n) != 1) || (n < 1)) {
<a name="l00069"></a>00069 E_ERROR(<span class="stringliteral">"Failed to read number of MLLR classes\n"</span>);
<a name="l00070"></a>00070 <span class="keywordflow">goto</span> error_out;
<a name="l00071"></a>00071 }
<a name="l00072"></a>00072 mllr-><a class="code" href="structps__mllr__s.html#a30b9bb76c5469542d531ead4ad1bdcb1" title="Number of MLLR classes.">n_class</a> = n;
<a name="l00073"></a>00073
<a name="l00074"></a>00074 <span class="keywordflow">if</span> ((fscanf(fp, <span class="stringliteral">"%d"</span>, &n) != 1)) {
<a name="l00075"></a>00075 E_ERROR(<span class="stringliteral">"Failed to read number of feature streams\n"</span>);
<a name="l00076"></a>00076 <span class="keywordflow">goto</span> error_out;
<a name="l00077"></a>00077 }
<a name="l00078"></a>00078 mllr-><a class="code" href="structps__mllr__s.html#acc9e853a333f4e79b24f3e5af0946e43" title="Number of feature streams.">n_feat</a> = n;
<a name="l00079"></a>00079 mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a> = ckd_calloc(mllr-><a class="code" href="structps__mllr__s.html#acc9e853a333f4e79b24f3e5af0946e43" title="Number of feature streams.">n_feat</a>, <span class="keyword">sizeof</span>(*mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>));
<a name="l00080"></a>00080
<a name="l00081"></a>00081 mllr-><a class="code" href="structps__mllr__s.html#a4cfa5d4c6637282b947b525a673cc3d0" title="Rotation part of mean transformations.">A</a> = (float32 ****) ckd_calloc(mllr-><a class="code" href="structps__mllr__s.html#acc9e853a333f4e79b24f3e5af0946e43" title="Number of feature streams.">n_feat</a>, <span class="keyword">sizeof</span>(float32 **));
<a name="l00082"></a>00082 mllr-><a class="code" href="structps__mllr__s.html#a65430ba654d0af5e508715de24077f2d" title="Bias part of mean transformations.">b</a> = (float32 ***) ckd_calloc(mllr-><a class="code" href="structps__mllr__s.html#acc9e853a333f4e79b24f3e5af0946e43" title="Number of feature streams.">n_feat</a>, <span class="keyword">sizeof</span>(float32 *));
<a name="l00083"></a>00083 mllr-><a class="code" href="structps__mllr__s.html#ae92b910e17202389aca99ee5105085b0" title="Diagonal transformation of variances.">h</a> = (float32 ***) ckd_calloc(mllr-><a class="code" href="structps__mllr__s.html#acc9e853a333f4e79b24f3e5af0946e43" title="Number of feature streams.">n_feat</a>, <span class="keyword">sizeof</span>(float32 *));
<a name="l00084"></a>00084
<a name="l00085"></a>00085 <span class="keywordflow">for</span> (i = 0; i < mllr-><a class="code" href="structps__mllr__s.html#acc9e853a333f4e79b24f3e5af0946e43" title="Number of feature streams.">n_feat</a>; ++i) {
<a name="l00086"></a>00086 <span class="keywordflow">if</span> (fscanf(fp, <span class="stringliteral">"%d"</span>, &n) != 1) {
<a name="l00087"></a>00087 E_ERROR(<span class="stringliteral">"Failed to read stream length for feature %d\n"</span>, i);
<a name="l00088"></a>00088 <span class="keywordflow">goto</span> error_out;
<a name="l00089"></a>00089 }
<a name="l00090"></a>00090 mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i] = n;
<a name="l00091"></a>00091 mllr-><a class="code" href="structps__mllr__s.html#a4cfa5d4c6637282b947b525a673cc3d0" title="Rotation part of mean transformations.">A</a>[i] =
<a name="l00092"></a>00092 (float32 ***) ckd_calloc_3d(mllr-><a class="code" href="structps__mllr__s.html#a30b9bb76c5469542d531ead4ad1bdcb1" title="Number of MLLR classes.">n_class</a>, mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i],
<a name="l00093"></a>00093 mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i], <span class="keyword">sizeof</span>(float32));
<a name="l00094"></a>00094 mllr-><a class="code" href="structps__mllr__s.html#a65430ba654d0af5e508715de24077f2d" title="Bias part of mean transformations.">b</a>[i] =
<a name="l00095"></a>00095 (float32 **) ckd_calloc_2d(mllr-><a class="code" href="structps__mllr__s.html#a30b9bb76c5469542d531ead4ad1bdcb1" title="Number of MLLR classes.">n_class</a>, mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i],
<a name="l00096"></a>00096 <span class="keyword">sizeof</span>(float32));
<a name="l00097"></a>00097 mllr-><a class="code" href="structps__mllr__s.html#ae92b910e17202389aca99ee5105085b0" title="Diagonal transformation of variances.">h</a>[i] =
<a name="l00098"></a>00098 (float32 **) ckd_calloc_2d(mllr-><a class="code" href="structps__mllr__s.html#a30b9bb76c5469542d531ead4ad1bdcb1" title="Number of MLLR classes.">n_class</a>, mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i],
<a name="l00099"></a>00099 <span class="keyword">sizeof</span>(float32));
<a name="l00100"></a>00100
<a name="l00101"></a>00101 <span class="keywordflow">for</span> (m = 0; m < mllr-><a class="code" href="structps__mllr__s.html#a30b9bb76c5469542d531ead4ad1bdcb1" title="Number of MLLR classes.">n_class</a>; ++m) {
<a name="l00102"></a>00102 <span class="keywordflow">for</span> (j = 0; j < mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i]; ++j) {
<a name="l00103"></a>00103 <span class="keywordflow">for</span> (k = 0; k < mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i]; ++k) {
<a name="l00104"></a>00104 <span class="keywordflow">if</span> (fscanf(fp, <span class="stringliteral">"%f "</span>, &mllr-><a class="code" href="structps__mllr__s.html#a4cfa5d4c6637282b947b525a673cc3d0" title="Rotation part of mean transformations.">A</a>[i][m][j][k]) != 1) {
<a name="l00105"></a>00105 E_ERROR(<span class="stringliteral">"Failed reading MLLR rotation (%d,%d,%d,%d)\n"</span>,
<a name="l00106"></a>00106 i, m, j, k);
<a name="l00107"></a>00107 <span class="keywordflow">goto</span> error_out;
<a name="l00108"></a>00108 }
<a name="l00109"></a>00109 }
<a name="l00110"></a>00110 }
<a name="l00111"></a>00111 <span class="keywordflow">for</span> (j = 0; j < mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i]; ++j) {
<a name="l00112"></a>00112 <span class="keywordflow">if</span> (fscanf(fp, <span class="stringliteral">"%f "</span>, &mllr-><a class="code" href="structps__mllr__s.html#a65430ba654d0af5e508715de24077f2d" title="Bias part of mean transformations.">b</a>[i][m][j]) != 1) {
<a name="l00113"></a>00113 E_ERROR(<span class="stringliteral">"Failed reading MLLR bias (%d,%d,%d)\n"</span>,
<a name="l00114"></a>00114 i, m, j);
<a name="l00115"></a>00115 <span class="keywordflow">goto</span> error_out;
<a name="l00116"></a>00116 }
<a name="l00117"></a>00117 }
<a name="l00118"></a>00118 <span class="keywordflow">for</span> (j = 0; j < mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>[i]; ++j) {
<a name="l00119"></a>00119 <span class="keywordflow">if</span> (fscanf(fp, <span class="stringliteral">"%f "</span>, &mllr-><a class="code" href="structps__mllr__s.html#ae92b910e17202389aca99ee5105085b0" title="Diagonal transformation of variances.">h</a>[i][m][j]) != 1) {
<a name="l00120"></a>00120 E_ERROR(<span class="stringliteral">"Failed reading MLLR variance scale (%d,%d,%d)\n"</span>,
<a name="l00121"></a>00121 i, m, j);
<a name="l00122"></a>00122 <span class="keywordflow">goto</span> error_out;
<a name="l00123"></a>00123 }
<a name="l00124"></a>00124 }
<a name="l00125"></a>00125 }
<a name="l00126"></a>00126 }
<a name="l00127"></a>00127 fclose(fp);
<a name="l00128"></a>00128 <span class="keywordflow">return</span> mllr;
<a name="l00129"></a>00129
<a name="l00130"></a>00130 error_out:
<a name="l00131"></a>00131 <span class="keywordflow">if</span> (fp)
<a name="l00132"></a>00132 fclose(fp);
<a name="l00133"></a>00133 <a class="code" href="ps__mllr_8h.html#ae56a8c52dd7513b1883536f2a729e1d0" title="Release a pointer to a linear transform.">ps_mllr_free</a>(mllr);
<a name="l00134"></a>00134 <span class="keywordflow">return</span> NULL;
<a name="l00135"></a>00135 }
<a name="l00136"></a>00136
<a name="l00137"></a>00137 <a class="code" href="structps__mllr__s.html" title="Feature space linear transform structure.">ps_mllr_t</a> *
<a name="l00138"></a><a class="code" href="ps__mllr_8c.html#ae21e7d8a0fa751aaccc5ef39dc5d1fe0">00138</a> <a class="code" href="ps__mllr_8h.html#a2f40deff6976bf03a845aa474494edfb" title="Retain a pointer to a linear transform.">ps_mllr_retain</a>(<a class="code" href="structps__mllr__s.html" title="Feature space linear transform structure.">ps_mllr_t</a> *mllr)
<a name="l00139"></a>00139 {
<a name="l00140"></a>00140 ++mllr-><a class="code" href="structps__mllr__s.html#ac138bd81a40d8569d795463ea1ec52bd" title="Reference count.">refcnt</a>;
<a name="l00141"></a>00141 <span class="keywordflow">return</span> mllr;
<a name="l00142"></a>00142 }
<a name="l00143"></a>00143
<a name="l00144"></a>00144 <span class="keywordtype">int</span>
<a name="l00145"></a><a class="code" href="ps__mllr_8c.html#a240194a6ef30b01da38e3654c984b017">00145</a> <a class="code" href="ps__mllr_8h.html#ae56a8c52dd7513b1883536f2a729e1d0" title="Release a pointer to a linear transform.">ps_mllr_free</a>(<a class="code" href="structps__mllr__s.html" title="Feature space linear transform structure.">ps_mllr_t</a> *mllr)
<a name="l00146"></a>00146 {
<a name="l00147"></a>00147 <span class="keywordtype">int</span> i;
<a name="l00148"></a>00148
<a name="l00149"></a>00149 <span class="keywordflow">if</span> (mllr == NULL)
<a name="l00150"></a>00150 <span class="keywordflow">return</span> 0;
<a name="l00151"></a>00151 <span class="keywordflow">if</span> (--mllr-><a class="code" href="structps__mllr__s.html#ac138bd81a40d8569d795463ea1ec52bd" title="Reference count.">refcnt</a> > 0)
<a name="l00152"></a>00152 <span class="keywordflow">return</span> mllr-><a class="code" href="structps__mllr__s.html#ac138bd81a40d8569d795463ea1ec52bd" title="Reference count.">refcnt</a>;
<a name="l00153"></a>00153
<a name="l00154"></a>00154 <span class="keywordflow">for</span> (i = 0; i < mllr-><a class="code" href="structps__mllr__s.html#acc9e853a333f4e79b24f3e5af0946e43" title="Number of feature streams.">n_feat</a>; ++i) {
<a name="l00155"></a>00155 <span class="keywordflow">if</span> (mllr-><a class="code" href="structps__mllr__s.html#a4cfa5d4c6637282b947b525a673cc3d0" title="Rotation part of mean transformations.">A</a>)
<a name="l00156"></a>00156 ckd_free_3d(mllr-><a class="code" href="structps__mllr__s.html#a4cfa5d4c6637282b947b525a673cc3d0" title="Rotation part of mean transformations.">A</a>[i]);
<a name="l00157"></a>00157 <span class="keywordflow">if</span> (mllr-><a class="code" href="structps__mllr__s.html#a65430ba654d0af5e508715de24077f2d" title="Bias part of mean transformations.">b</a>)
<a name="l00158"></a>00158 ckd_free_2d(mllr-><a class="code" href="structps__mllr__s.html#a65430ba654d0af5e508715de24077f2d" title="Bias part of mean transformations.">b</a>[i]);
<a name="l00159"></a>00159 <span class="keywordflow">if</span> (mllr-><a class="code" href="structps__mllr__s.html#ae92b910e17202389aca99ee5105085b0" title="Diagonal transformation of variances.">h</a>)
<a name="l00160"></a>00160 ckd_free_2d(mllr-><a class="code" href="structps__mllr__s.html#ae92b910e17202389aca99ee5105085b0" title="Diagonal transformation of variances.">h</a>[i]);
<a name="l00161"></a>00161 }
<a name="l00162"></a>00162 ckd_free(mllr-><a class="code" href="structps__mllr__s.html#a20fae2fc119069371464a6502e00c0e4" title="Length of input vectors for each stream.">veclen</a>);
<a name="l00163"></a>00163 ckd_free(mllr-><a class="code" href="structps__mllr__s.html#a4cfa5d4c6637282b947b525a673cc3d0" title="Rotation part of mean transformations.">A</a>);
<a name="l00164"></a>00164 ckd_free(mllr-><a class="code" href="structps__mllr__s.html#a65430ba654d0af5e508715de24077f2d" title="Bias part of mean transformations.">b</a>);
<a name="l00165"></a>00165 ckd_free(mllr-><a class="code" href="structps__mllr__s.html#ae92b910e17202389aca99ee5105085b0" title="Diagonal transformation of variances.">h</a>);
<a name="l00166"></a>00166 ckd_free(mllr);
<a name="l00167"></a>00167
<a name="l00168"></a>00168 <span class="keywordflow">return</span> 0;
<a name="l00169"></a>00169 }
</pre></div></div>
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