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📁 自动语音识别源码对非特定人的孤立词语音识别算法 进行研究。考虑到语音识别技术在嵌入式系统处理能力较弱、存储空间有限的问 题上进行算法的选择和优化
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<!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN"                "http://www.w3.org/TR/REC-html40/loose.dtd"><html><head>  <title>Description of linScaling</title>  <meta name="keywords" content="linScaling">  <meta name="description" content="linScaling: Linear scaling for melody recognition">  <meta http-equiv="Content-Type" content="text/html; charset=big5">  <meta name="generator" content="m2html &copy; 2003 Guillaume Flandin">  <meta name="robots" content="index, follow">  <link type="text/css" rel="stylesheet" href="../m2html.css"></head><body><a name="_top"></a><div><a href="../index.html">Home</a> &gt;  <a href="index.html">melodyRecognition</a> &gt; linScaling.m</div><!--<table width="100%"><tr><td align="left"><a href="../index.html"><img alt="<" border="0" src="../left.png">&nbsp;Master index</a></td><td align="right"><a href="index.html">Index for melodyRecognition&nbsp;<img alt=">" border="0" src="../right.png"></a></td></tr></table>--><h1>linScaling</h1><h2><a name="_name"></a>PURPOSE <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>linScaling: Linear scaling for melody recognition</strong></div><h2><a name="_synopsis"></a>SYNOPSIS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="box"><strong>function [minDist1, shiftedPitch1, allDist1]=linScaling(inputPitch, stdPitch, lowerRatio, upperRatio, resolution, distanceType) </strong></div><h2><a name="_description"></a>DESCRIPTION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2><div class="fragment"><pre class="comment"> linScaling: Linear scaling for melody recognition
    Usage: [minDist1, shiftedPitch1, allDist1]=linScaling(inputPitch, stdPitch, lowerRatio, upperRatio, resolution, distanceType)

    Example:
        inputPitch=[48.044247 48.917323 49.836778 50.154445 50.478049 50.807818 51.143991 51.486821 51.486821 51.486821 51.143991 50.154445 50.154445 50.154445 49.218415 51.143991 51.143991 50.807818 49.524836 49.524836 49.524836 49.524836 51.143991 51.143991 51.143991 51.486821 51.836577 50.807818 51.143991 52.558029 51.486821 51.486821 51.486821 51.143991 51.143991 51.143991 51.143991 51.143991 51.143991 51.143991 51.143991 51.143991 49.218415 50.807818 50.807818 50.154445 50.478049 48.044247 49.524836 52.193545 51.486821 51.486821 51.143991 50.807818 51.486821 51.486821 51.486821 51.486821 51.486821 55.788268 55.349958 54.922471 54.922471 55.349958 55.349958 55.349958 55.349958 55.349958 55.349958 55.349958 55.349958 53.699915 58.163541 59.213095 59.762739 59.762739 59.762739 59.762739 58.163541 57.661699 58.163541 58.680365 58.680365 58.680365 58.163541 55.788268 54.505286 55.349958 55.788268 55.788268 55.788268 54.922471 54.505286 56.237965 55.349958 55.349958 55.349958 55.349958 54.505286 54.505286 55.349958 48.917323 50.478049 50.807818 51.143991 51.143991 51.143991 50.807818 50.807818 50.478049 50.807818 51.486821 51.486821 51.486821 51.486821 51.486821 51.486821 52.558029 52.558029 52.558029 52.558029 52.193545 51.836577 52.193545 53.310858 53.310858 53.310858 52.930351 52.930351 53.310858 52.930351 52.558029 52.193545 52.930351 53.310858 52.930351 51.836577 52.558029 53.699915 52.930351 52.930351 52.558029 52.930351 52.930351 52.558029 52.558029 52.558029 53.310858 53.310858 53.310858 53.310858 52.930351 52.930351 52.930351 52.558029 52.930351 52.930351 52.930351 52.930351 52.930351 52.930351 52.930351 53.310858 53.310858 53.310858 52.193545 52.193545 52.193545 54.097918 52.930351 52.930351 52.930351 52.930351 52.930351 51.143991 51.143991 51.143991 48.917323 49.524836 49.524836 49.836778 49.524836 48.917323 49.524836 49.218415 48.330408 48.330408 48.330408 48.330408 48.330408 49.524836 49.836778 53.310858 53.310858 53.310858 52.930351 52.930351 52.930351 53.310858 52.930351 52.930351 52.558029 52.558029 51.143991 52.930351 49.218415 49.836778 50.154445 49.836778 49.524836 48.621378 48.621378 48.621378 49.836778 49.836778 49.836778 49.836778 46.680365 46.680365 46.680365 46.163541 45.661699 45.661699 45.910801 46.163541 46.163541 46.163541 46.163541 46.163541 46.163541 46.163541 46.163541 46.163541 46.163541 46.163541 46.163541 50.807818 51.486821 51.486821 51.143991];
        stdPitch =[60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 59.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 55.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 67.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 65.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 64.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 62.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000 60.000000];
        resolution=21;
        lowerRatio=0.5;
        upperRatio=1.5;
        distanceType=1;        % L1-norm
        [minDist1, shiftedPitch1, allDist1]=linScaling(inputPitch, stdPitch, lowerRatio, upperRatio, resolution, distanceType);
        distanceType=2;        % L2-norm
        [minDist1, shiftedPitch2, allDist2]=linScaling(inputPitch, stdPitch, lowerRatio, upperRatio, resolution, distanceType);
        allDist2=sqrt(allDist2);    % To reduce computation, the L2-distance returned by linScaling is actually the square distance, so we need to take the square root.
        axisLimit=[0 370 40 80];
        subplot(3,1,1);
        plot(inputPitch); title('Input pitch'); ylabel('Semitones');
        axis(axisLimit);
        subplot(3,1,2);
        plot(1:length(shiftedPitch1), shiftedPitch1, 1:length(shiftedPitch2), shiftedPitch2, 1:length(stdPitch), stdPitch);
        title('Standard and shifted pitch'); ylabel('Semitones');
        axis(axisLimit);
        subplot(3,1,3);
        ratio=linspace(lowerRatio, upperRatio, resolution);
        plot(ratio, allDist1, '.-', ratio, allDist2, '.-');
        xlabel('Scaling ratios');
        ylabel('Distances');
        title('Normalized distance via L_1 &amp; L_2 norm');
        legend('L_1 norm', 'L_2 norm');</pre></div><!-- crossreference --><h2><a name="_cross"></a>CROSS-REFERENCE INFORMATION <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>This function calls:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="linScaling.html" class="code" title="function [minDist1, shiftedPitch1, allDist1]=linScaling(inputPitch, stdPitch, lowerRatio, upperRatio, resolution, distanceType)">linScaling</a>	linScaling: Linear scaling for melody recognition</li></ul>This function is called by:<ul style="list-style-image:url(../matlabicon.gif)"><li><a href="linScaling.html" class="code" title="function [minDist1, shiftedPitch1, allDist1]=linScaling(inputPitch, stdPitch, lowerRatio, upperRatio, resolution, distanceType)">linScaling</a>	linScaling: Linear scaling for melody recognition</li></ul><!-- crossreference --><h2><a name="_subfunctions"></a>SUBFUNCTIONS <a href="#_top"><img alt="^" border="0" src="../up.png"></a></h2>
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