# 使用 LiteRT 进行音频分类解码与显示

Source: [https://docs.qualcomm.com/doc/80-70018-50SC/topic/audio-classification-with-litert.html](https://docs.qualcomm.com/doc/80-70018-50SC/topic/audio-classification-with-litert.html)

用例使用 YAMNet LiteRT 模型对麦克风和文件源的音频样本进行分类和解码。

要停止用例，请按 CTRL + C。

## 麦克风音频样本音频分类

运行本用例：

    gst-launch-1.0 -v pulsesrc ! audio/x-raw,format=S16LE ! audiobuffersplit output-buffer-size=31200 ! \
    qtimlaconverter sample-rate=16000 feature=lmfe params="params,nfft=512,nhop=160,nmels=64,chunklen=0.96;" ! queue ! \
    qtimltflite model=/etc/models/yamnet.tflite  !  qtimlaclassification module=yamnet labels=/etc/labels/yamnet.labels ! \
    video/x-raw,width=640,height=360 ! queue ! waylandsink sync=false fullscreen=trueCopy to clipboard

下图显示了用例执行流程：

Figure : 音频分类与显示 Pipeline 流
                
                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)

pipeline 执行的顺序处理阶段如下表所示：

Table : 音频分类 Pipeline 处理

| 处理过程 | 说明 |
| --- | --- |
| [pulsesrc](https://docs.qualcomm.com/doc/80-70018-50SC/topic/pulsesrc.html) | 从麦克风采集音频流（源）。 |
| audiobuffersplit | 将传入的音频缓存分割为大小相等的块。 |
| [qtimlaconverter](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlaconverter.html) | 对音频流执行预处理，并将其转换为张量流。<br>音频分类模型使用该张量流进行推理。 |
| [qtimltflite](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimltflite.html) | <ol class="ol" id="audio-classification-with-litert__ol_bwn_s5l_vbc"><br>                                    <li class="li">加载模型。</li><br><br>                                    <li class="li">为选择的 delegate 修改图。</li><br><br>                                    <li class="li">在其接收端口上接收张量数据。</li><br><br>                                    <li class="li">执行推理并在其发送端口上生成包含推理结果的张量数据。</li><br><br>                                </ol> |
| [qtimlaclassification](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlaclassification.html) | 处理音频分类推理结果：<ol class="ol" id="audio-classification-with-litert__ol_ol3_dky_kbc"><br>                                    <li class="li">将阈值应用于所选结果数。</li><br><br>                                    <li class="li">为分类创建文本叠加。</li><br><br>                                </ol> |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70018-50SC/topic/waylandsink.html) | <ol class="ol" id="audio-classification-with-litert__ol_c54_cp2_s2c"><br>                                    <li class="li">在其接收端口上接收视频和音频流。</li><br><br>                                    <li class="li">将流提交至 Weston。 </li><br><br>                                    <li class="li">Weston 在本地显示设备上渲染视频流及为该场景生成的分类音频。</li><br><br>                                </ol> |

## 对文件源音频样本进行分类和解码

- 使用 FLAC 解码器运行用例：

        gst-launch-1.0 -e --gst-debug=2 filesrc location=/etc/media/video_FLAC.mp4  ! qtdemux name=demux demux. ! queue ! h264parse ! \
        v4l2h264dec  capture-io-mode=4 output-io-mode=4 ! video/x-raw, format=NV12 ! qtivcomposer name=mixer  sink_1::position="<50, 50>" sink_1::dimensions="<368, 64>" !  \
        queue  ! waylandsink fullscreen=true demux. ! queue !  flacparse ! flacdec  ! queue ! audioconvert ! audio/x-raw,format=S16LE ! audioresample ! \
        audiobuffersplit output-buffer-size=31200 ! queue ! qtimlaconverter  sample-rate=16000 feature=lmfe params="params,nfft=512,nhop=160,nmels=64,chunklen=0.96;" ! \
        queue ! qtimltflite name=infeng model=/etc/models/yamnet.tflite   !  qtimlaclassification name=postproc threshold=10.0  results=3 module=yamnet \
        labels=/etc/labels/yamnet.labels ! video/x-raw,format=BGRA,width=368,height=64 ! queue ! mixer.Copy to clipboard

Figure : 音频分类与解码 Pipeline 流程 - FLAC 解码器
                        
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4mPw5DcUv+8biWquESgDDzPekvnjjRQQZPyrsr5t23ZuSasSyPqX7eCqnZ1i8vMcAr0w6tjuX+fBMA0NnqpxoJFGontMFyZxhnGtrBqc/yd+CntymIK2QB2x0qDxXBKnRzbl9WuCT1rfJ4MIHZzRaA0ysqIJbGkE8ThZaLtgd+yeELkvcIP0P3mVxZX/FQFoNY6UY+qapwJldMagyX5+RfpNkycGAoD+JQ1eXpVdV1YPn9GRt9O88mfxVqquKOE8LQSy+ujb3Hxv7NoloxxPJRS70NVxMHpToMKv7WnhW9WzoIkD95DCGW/BHcWf5Bv7BSIyxdzSd3LVodKiD9fODiDKiYRqrh7cn2SJcbzdKtmRdrfyZy4Eebl6lpZ2kxSMXhn1DD9VbZbGo3dQ1HZOwiH69WZ3KoOris5Gc5AYIZZurdhd6axSzeIkLpGDFsFeIUNXsHSwaxYvGi2tG+0950SLY4d6kcizHVnGMgcIlNIO/W9zWPt8kRyc7PluOVt7icWJvI+2R1/TSE4dd7MVF2sSOx5CmbBQS+oBqJyq3swtKLOrVkgsM5CXByAxc9nE8htBYgPRnpiYw3UMb545LBgyO76M5PgM/rABGcmWVJPuCPW7cpZKRbuzgYtuy4xDJaCXxNw3PWd+kBsfHJrYWOtZ0N3n6C8ZL5PLwuwvh1Efndw9XN9pLcSqn3yxZgcprn4Yl0B2Y6tLFN4+2SJdxNDvMlgUi2TfRSIKUxygN4Ht18Y91n1JlRVDS7UMCmobEW8eguECT/P0B/YlJb2fci69S73CTEQEijuLH5OQ22v4NTn1ItyuQ7rE+D/YMoW1pWwsIFonh8eQc5Ql4+b4hOIokMjRpVnWyb5qxAN3MeGvUN6FoRsji8Dth/3HTYWKo/wvkznLNCQTZ5pkFu9/d72nFvgrllFsQpuFUVkNTjVEQAXef3+rpv/oIVAd/pfsIAFVKwQpCAMJj+QcTViCJ4xnDAb4P6K271vyCzcgyXvUheOngLjiHQlDCblLsNhQPjayPjPA4AJc7mHZ9zJLFd9Gf+2V9lt8+F7dNMvNBhCl9Eh6rtKezKemOmON0TYvsBUqw2Ud4l4qQPahORNrWsxY+LT+5VzbuwP1fd3ywZqXgh1NOzB0Wkd4nwDd3Plco9hEHy81qNklvzFZuYHtGtjVwFPAFE+sr5cJYGIedOEoOUBjI6Og22svN/68XoXxdfITQNROFZEUCM9//is7JZR87pB3Rwohdne0zEvpNtuT1/9fqPP9vQLD2cfC5Xr+XCRQfgM/pmGvQOvy/LVc6hiITMm3dZhELy+oGCHdZ8dmjTsElQYHOOqZos8KaG8u61wEgRA8oxnO281zthRYlfcb6stthhxUb8C7o4t0hi4alhfgH9uVonUVQuBwQ62w9jDADotkaoL0OXT6bON9Gowt+RqyKHG/V1Wy2iXtHvg9pdmIwaMKAWVy8dCIH7AuWicqAxkBD+vfQnUZYfQIXntu+qt7/uYC0XFK50ij7fONau+9WP/HRB10a3qH2lU0Ari4VyDDo0Wl2XMR5U4upLsXI5UG/ZhdAAFP8USeUEI8Z+4pFAr+GGSup7F9JARndXx3W/yiG01tjHG4Sy8BARJuDIHG0sBqYUPuUByhwpi25q5zJc6/AoUaC8dq3FB00g87Eq71sK4H+zTsF0F7WmK6zR4KUdDtamYPvcJJzO8SDjP6knIJ7TjdtOjUIUR/cI5B65vFRayEbB61bEFYWCtTUCd2S4Nz6PnFShodckYauwodHUNJgX5siVv7GpjoQnIwOSTpXevGb/Rn20KG54tpU3smTfHp0Z5PQox+52i7AMe8jEnHoQ5/3y+ajwdHfzKFUb+TyKSC5Wk8E5nyxuH0PwLXcqT3RR42Yj/Y9Al5XfcXE/zKr6pKSfSxtk4hhPX3yRWcLKXP/pRbJXLtbVzbatvBkqWll97LzGy1Oq8EgpY7VgcGCoxlHkIKc7ImKusvmobEXEZ9QYJ5o8saWIO1xIS+5F/HuwlK40/kaO066J4MEW7/7oIG3+EiIdtP8IWmCZhkiYHfNqK77OCxcuBXVE3jOmHfsSezZk3eWTB06Mk1DkxxExMiYW2kUztwZkdzS9U8gghXBwShVNpH+RW9tL/8fG/ui1ahsLfU7s17FnQMnCirb3K4/v9FsGPiGwvCS0MxZrW1XkbhEyCY5y3vLQ3hPAqxLm5ptMhgjqV42IzKlYXPQ2AvvNHB0Rwqt8QzKtXE5ZMBjkeW0sm+MWa28SePYVGl+B9SLuad0bQIvMgg5kKci05wKGnZ60nBV7b9eC01mGjDMRJvhsLAXfO43oL7EG/2EaemrFrp015NdYpDaQZC8h6nvdxLp2j6Eerjt9sXb626iYOIES77+HbL/v4XScSvb8KpO+KK/uJRkunQX+FgAIOkbbnk/hSOc1CwGIeqN5K5USqtD2gG7a9+AMAZxmEgRA8owI/QKyZ+KAiW0LvFxyOFxtciP9o1H4qQlfYB+32SpfrgndAUCC9yjOmY5cHIEXwBJj2wT1cLNIYYEfuu8IQfn4QtwrTswYyI4LRH00OLxdTnaphgTHCY8KHjd8OE23IZn43OtRT+b3mbaP/EbqHBznEVOTppD1cK3Kkhd8ag82KX9mVGii40gtQu1W3OFm5s3BfTRjZk8TF1zlJsyvV1REG9UZVxni4+KdNGBzbh1D1Q1rj40KdLe1I0fIKYXW1mWILiNpzrOV5flrKWY7MqmBAA25/dAJb470E3bCxv+2+hTggmVXJ3PBnjNDg87sliDMKLCBdf50hQS/16Dulhhhq7sLizjsVyhvuVUfzZjQxn+DTV8om0LDhcUpL+0BKziY+YYpltkkIaQyX5ywtJAqXSzQOFer5+VW9vNYupJUlc04PD/GJZKzjtr2SdG19phcFuiRrFDyrlbBmmIuuqzNzyOhDKUgQv8+cm+dc1Pi2L+FtX3Sn8koNFqCDxwKOX3DfzU7XYKa0ZGSqOt6eVd08mR1g8XczL7iAcOoWzn8PeIJeot0DNDT9NTUSPiWMtaps3/aaC5dWh0HK0e2RqS2nhP/60iGrGotAVnsvNoFRvaXSc/mFWzBFSrzXCV2c6Nc4zq/X8o3aUigMy5PPQLiRINYuaWhWc4SVihaxA948/RQAmTdPJqqV1TKmPZuUrIy1h50hdvmbvduxtlHf+5GTpO5Q/+kUejTb5dXdmjqv1mb80RJhcPm+7EAbYGP7C1LZYhJa3L7Er25NeEjm8ql+Cfl+Hz7LS8jnfS9WbFO1Y8OopeSGVqlVwos51zZRvFbK2XVaIjjh3lEFPpfNjgLA/gL1OpDsIw5WbaVHVavjKrEtLdMSgce2SmrpjUkckTah1iv8TT3Gd/iVQHjZ1NTGLxbMF3VInJr3IkEhF5MwB3RSJueo1ZTWiQoNk27i6zKFvfiPRKJPqhVrNjc9GMa1gyMWmPm9CTd1ncWnMcxEKOjTjT1HTHjC5fSFe1x/+XsaAyNA7xpM/RX+3O9g2NOph0yUNZMtWDFpDHPf3aGZ1A4ktRo6Qq+5517cXlzEtYmKpq6DdFtGWYQd1tI8NN4je7pIhvaqxsXMKgmunSKmPmKACnoebpslJW9Pr+/F84aUigoHVQcphgRcIHx116nX378tHvBObiwxR7PeiXGRWhF/dTYwzqq2YuaOKzLsGHgG8njuSO3VKLjvJ0fNIRQlPmzOCJU3axm/zVTP/pIxYbXwTcJRovy/ME5hjzMiZMqCofZ8ziuhNqzNTUNw03y9VpvqaO7RoDdKKNsGkSTyEHxk4Xq62iOpWsD1cpBG6D7Y07wuWldGR4tYU1gW4PeBl0f28WfICdNjLVGuoArS8fd4rXSPayarCpbi2QCyakAvELaQbx08PY80ZsqLB48YNAty7kNM6Nm1nwmrEAB/oRVYyU0HoD4d8WzfSdAv4n0uOTOPkb25j9fywuJfg39EhYG4HNvQm295UEV59YZ7v63n9Agqf59XnQ0HS0l91NY1lrb/0yHKYpi26S4Gj/xkoPnejuptpjuEYsatJGyGV2z/l8ICFi40VsPKhiWhQhRZEpIV3+EXZWqAmFQWGcPIOv5zQn4Jq+70f2JGKYyClp6ErwQNAQ19CNksHzCW3K0z4XHN7ITVELaTD8uU5Df1cESPRSStbQqii2jDVWgFEqXYEkWHk+/5ok9z0/+2xw2ijsrX3VY97EWtDE55Jyy4uB78cu5gn7sQoQtIomXD6aTz2ryP0U6KhH+T3Gaz4xNqMvm11Zc3W1s6tM/pqxjR7f0r8yAzI9Wmkf31BTc8vdhx/90CBszIoqOeFgNouG4vU21zhLkl68YxPdaJ8p5S7BA8ospWtOHd+UPCWUWI9svdx+0gfvh1FIGIrNyiaMhDn1mai81hU9YAzPwOVUORVExQTskD7hoGTT2tojN5rdBZbhBuA3P/SXoMMuOpfWV1qZ2rHNrQPgIaKI6furc6DyE0Bgoglu/BwnRMUzlWlbhJRO8ZTGrxDqB1QA5QX3xhkXzdHNui7mzni4We9xIJiMq8BT2qi0F3XBSTTDLPrwPnXdib7yy51naVfq0kUr1PsJJ8C5gnoUGSKre1hTGZNZsNGh2GYt/glb/FVGkL6Zoqhbj2vS2jSIr3xIv0hGE75l9/SsvASHxQfDlK7TnNOUyfMNt5U8uRaG5Mdl2U8aHgYafu+fYzsk3QS9dG5fF/bvkVrvffLWCu6TRkNwsByW7l81FBGpfr6326kQDusTIGHJaaz20bPr5FdkdfmusFMjkHcOg7wWtzmulqNU776snGbb5wAQdjRp0lSzqKZr6NnGlc5BYc9ZU+DR5NBJIOunr+7YwoUzQ9G5mpSf+DLqXfGZUMbq7ImOKLkcIHjEoN50X3WJCgSMUiU5bhHOCFNbnag89ixr9NwUPWB9WG2vNtniS/QUtB25dpennUlEmHkIFa82fUIyVPai27+gKsYmrPpxAqrzS0DXwJHeqgKZIfkaEh5rVbRYt5b6U625enhHS5mTO9U3EDYmz7JvWPaemvmE6VYyBg7EEuH2ib52Jmj62GK8+wqaUNRyiA4Pghyz35d2UTTQxDuMPsIVIUv05rYLluK516Wj4grsx9Xb5cKiOksfKkfBLYN5LeGZoAowKbtMjxKW/sCPb5Ou2XZkirUpUOoylsMcJVoNPUJ/Md0IQ4YKqT9ijHoJjcEr/C8M6C2LCTG9F+hkrbUQqS06pfAfnLPfx8xa1EzDvJ+/tXhqiegYwuhmRYvT2mY9/Dd8lAk4Xp379FkoIdgKMXO9/lUq3PprAyIDbHhDp0lYI4/hr92KExqwaKR9OsVFfgGiBRGKQwaQTYODL5uPSKXWG8juLrePZ1F32AGqenuy80fhmlAghu5Luox95feoobsbV67jvnFl+Ta1tWeG42mOcefsPRQji6jMqyp/IstACuVmq1qyvWdPFiu0u54WKsZTTKLQoWSuA0UZOzf+sgXd+eVdSqnMQaVYGfqloAFujQgEiFiJbarNoG/o2eip2fK7havaA4AcN2lesnH+rf7prWcvk3qhx5VhJ3emrEfHeV6xK2dnu8GjuUb3xGoRe7HZeV7S5EUFXqq1AxzA2KYdPwRRLE51xjXNd9FpVKuRYinyPJ8LYuIQ7r1nTqfpCATyzRWd7WBDwQd+bxq0xsfxR3lBmoaYq7K/H/LbAG3HYRV9B9qoaVp5OJEr4p7PQvyGvtaLcTQ+v2+xJPeoT6182iMsaF7tSVB9meRZxZoVedCPnLGsKFc7vgvYTwQghpFwlRsTd0eOBuiWtV85mqxRYqkebJ01gDJdJGUDfvsmUjhWEkRtaglEz8+sA5hDb8cpeM+ZpSiqrYAbRGwHr36taKcfl2vGF2TLu04bCIWJdEU/NDD1XWQKGgcqZAQK0MdaILEkE/YOFQTXRyjCfmp28zUPPA+lhnksYRbN9ivCycEuwvvJI+DU7+vrHU8rYx7MfG6UVR+EWcBqEKsX3upfO045b8q5g+R9ARFzYyyHf4XI0OUQFF66QexH/ppgRn3/NhnnCQVDXBG6eHNA1WQdMSF+hEYMHxWPB7Nv6R0l/oIfCi+X/4I3O7Nf6UYDn7K2fOfY2bFS58SeBHAReWTGj2/YhQ28HytG6ThP6Z5HyELuL/0GhWFpZ591Wv5SKdPVsWsJLcx/8q80OuyBUHTpcRXGnGGom65ut8mGOJNFHYIrskLvTw7l2Fjqg/ufkgRxsEtxS+nZFnTeh8w8Iesof3DgprPup2qWTLd7S13jc2x1gJDxNMiOUwv+OaolmBkuCYUxqP0AskRwa/cjzRKF8csbnPfHm78Vbf50X929QJO9YXC5dA58opHFGWfbZNW4GYcUVQw8Pp0YLg8KsdE4MG8ZbE2pierr+X7xC0r9+0CVSmtYEYFTnM39zLVsnKfZOvUGq9aXl5akYkJRgDABodi5qOd4iAbnkcGx4YjFF7qcctP2ObodeKJn5o7lcEjyuYEajqcbAhyGh421SLKDGLieb/hNGzOvMIsdgqybMI2g0TW7uivFdJV1Tr8Yafo6O7Y0ONgJ34Yp7Ve04KXmP492oCO7WL+5CZdzzBTEIE1eQc1J0dLCbP+3d3ftRjK79EpKqWhgERGgk3IFcigkk6B+5esiy2f1+3cJNbyf/4B1brUqlJWflfPFBBU9G1FGECqIkBdirKyRtVmZTPh6DAxw1SeH/mDL4mqBJ8ZpfJWk5RDegqLTB4idDzSfjwsAX9mZ8YgaeIs1rJTUwVv4RD2rWoc90t39Je2IB9CJY2czcPlXjepToRu1XjnGUOcF0qAsqYB3csFRGQ0pefE/Bkn74AV30n0p3FcVToel4TlSkyuPPGBCZRBDGHQfHGTF96ylM+vnPc1K0OTp334TiQ+dSfG4YJWzLKMJDTPCnNPeskg5PvUuF9bL1YYSQUSycFaGpJvuH6uf+GipdWHW+bc784b1oE765BJprX7Te6YMrF0f0/8UVOU1kr02IBOE9AO/1tdq5lQsT1TZKtv9bQd9ENjKtjL/XZQfOEpDUwNRg0UGJRTRTcq5hZQTUkSzyTd2EKtzQ4MFDGc/zJrt+oSkvcp487S2U6GcHDOIIzHNRyinxBEgfdM7gNX8luxKiAY1LcyDHeZZomq6Kb+TENYO5hpdrv+oJFgg8kfGacMfdkuuBY/HrCzmGXgi4RLigYBm5uoBPx7JTITjJDkrrMZ+Bn7Bthk9f67/wa/IAmtXsN0aRV1GZzplHxMHjRw/h5VyU+L41oHVH6E8riaECvp8eWCnRuJZx2sXfx6+Sl9/WB2X5pNqNrqpB+2EgXxsB5MS/Sd28Daa07GDdXRGwHIYVdaz2/ywCDANDBiZwbsLURvKSiO+uWhk21R4v60F+cZ5IlMkziIwJYqeDCSgc+1omEKOjIRQwC4s06iwxN057bMNp2kTyLw8xHx1Jmt85ICuUDubXnFtlhFMnGM8HSmlGRiaSy5plC9E7YvFXRFPk3B4EcDI4KZKqHmXer6hKX3th0Rp+5tPPBzcMcCP5K74G0zwlgLiv15TwXZlkNKndXSuIRCOAUWKdOCAfBBFpj0k8xpqC205GOPMxq8ZO+QU3ytKW4P5JzvXuvsY1jJO9CHv2+paQRQfGkATh4VA9JURuFOk6RogVeoDuGz+wqqj3tSPSpGMALJ+4RRiu7gh6e0hAiJWfCZiPZth3NmA9y7rqPyCidSMIvPyg6yBF0ttDfH7e9OczPPedX6n2RCSvv2Bb45+KvmLIHThOn/rVP9j0/yWnNphUd62h9Y404sDC56alWfND16qB1ukSuwSq6jIrYTJ/bVwnfGtgWS2n7dsuR3adx9leKfUBDykJV/fDJjidQCUeXLOVLIuXd7GzDffi8t37D25/jd/zBs2dIrFe3UebSF7M0jNZY5gy09kAPVf/mTyiH2H/0KELe5r5CXIJ2rtbziDMAf0SkHrsLgZ5Jz8za0Ghr/LhT6QbNQf43VlTB9WFcPNVLeRAcooasKa8+O+0ZQjG6n42Ay/+JFpnwq4cEUuF/cOd+nINul1+L7S9y1mWZ9H3SVIDYvRKetiSiwkVCEP2VmURNVhdip7UvCgScQ/XHc1i+n8lpf62wYTthugcG/PBzHcYelEHtyU1lQDq5gbpHpfCs5acmTjI10bnBVWfBLr03Mpt67TxumyLFjgXaWyqON9rIUM2CVFY8sBo+7STNTLKVkTZuf/KdwyKuvCK2sUCOZD6e2Locf+5kWN9hOt6GJViCkz9O13EOpv/0oW9N2K2ReL6CBnz6uWBAQJmHgGsBdcqtlX12HzH+Fa/90CtuFg1JxH+cbfQyUU8/XviuVKWig8cqH3nfVjGlhxehZLpp/VDk4ESrPShcpm+cjWPN1YMxu2+wgeEdZ32xnb1PZCsZerE01K5hNCKYXIbPu/rKpQ0783wPrDCUN1LkCG5pqL47AIMA0MI+zSRJ6mJ/crYcXw4iiq5xLt29eHI59g2hBqSLzhohkodbdOPJwIygKMXRRCgclTr/MuULP49PFKQP7hhuZRY4IRB19/lMhVnCaS36XUWzoRwYccjQnBF4KRMtptwbamDVJjXlzXs59yARL+aaVpMZThUogK/3fTJS0R6g83861EBzcnJfUqrsv26iySFOzbQvoOzKWsQOEEIsSucQ2aTTJJL83dG9W+BbWjli7c9ft5N+K9oiFqfHAQZzlI7JNuvQHxk1pjgtKg4gHceqESNXij93KFN2l4mX2X6TinEh3VL69UijoQKLB5sscrrEM4karAwWMwh7qbCbfMoPfDg5qExeW6KIV7Gp9zv6+6/HH00+RMyi54e/sESwS7tnHFxDiVoA5gi8ZblxOog1GEGWakIODtrTZRFJ1IH0x0NahqCl2ie7v51qIDmZTM8mWLNiEe8V/+ope52AF/052OEG+5o0Sy9yAPBijY3QwMw3CX6rPFCsh5Iz4uOAeIhqZo+KNL5+L6iFoZb3iw7KkSlKzfXhWaaR0m2D+nEwB395Zc9b8i/fFWJZUuQlaSNq5nE/eDjjTKv7fQqOQr5P57ei3g/1WnWGn40r8XTJu1S1wvKpdQoDTmDChn4lqFj5F8CWnmfpUojRlfq22i1C/hk/R4JmYTkYKdJDLNPpHo6hkoyFLA94xGN5huNYTw6nJhRA6eXg55TOM9bjAVHHKU6yFELvhU676VaawimNx83qkvkn7I2i13ZklOujndh2ksdliUIKpPpCHoFt14sEVznMYV1QKgu46j5gimkGXcPIRFma4gXttRE5PHWkeLER+NDPsqEsmduAx5Ok9sl0Oq0atSVA3Z8XgawCzkEfq1+Zb4bEzQkcUTTYlDKkU4MdvJMFQvFV5vZErJamuTR9byTiqzmls29NEGKpr0OQp/I6Aqhr9nRKI5hUJ0BIT8/3bbE4NibJzeyXz/mtKUXiDJbSAPEQbzBRPXkdetFDuYExojy4qVMwd9Hw8fNq1FFeSw4r3bw8PwCjnaE0NwUwTkwLbUAyreqkEMHLANWcjXTP3mcGvNFEKY8sxYiFD2zE29DBEEUxT+7AbsdtEBa79r0hdlibbOsBxbdeMKqQhpGicjP6w3GOLexavz3gOoorrVh/VCoLvv+Kqj0YfGlAFQHIz3CODtMfBhb2spDefuveXEKovOCzwI1lBiPi5hzXl8Y6rPiiZszsRLsH5hDeM6+SHb64TLsfnd63y3VR1SlxbnC15kkYn1wM65LnmpFR8SDDiAPZV1gUnoXQKDhIueg8xlQcU1whgdat4aakYp4OMLTgw3J9yAmlh8xeRLW9TSD+SQa2F56ZUTO2MYbLHzZ9GfkMi6j89OuHLzoLRDw9DX1FPi3w0j3Kqt4uQuvNApIEHoxqvkX7IEWCV4cBdb3kJzd1ebDpTl3Z2YfAG9mDN3oWPunhioqyGAF5V5EGTVQWwOT0wKY+5Q4M0kCxLCnrqdgB9qQBOYhvKr+9wwrzTSOnzxF8+fsHfzqqW/+Dsfl9j2FmonvSA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)
- 使用 mpg123audiodec 解码器运行用例：

        gst-launch-1.0 -e --gst-debug=2 filesrc location=/etc/media/video_mp3.mp4  ! qtdemux name=demux demux. ! queue ! h264parse ! v4l2h264dec  capture-io-mode=4 output-io-mode=4 ! video/x-raw, format=NV12 ! qtivcomposer name=mixer  sink_1::position="<50, 50>" sink_1::dimensions="<368, 64>" !  queue  ! waylandsink fullscreen=true demux. ! queue !  mpegaudioparse ! mpg123audiodec  ! queue ! audioconvert ! audio/x-raw,format=S16LE ! audioresample !  audiobuffersplit output-buffer-size=31200 ! queue ! qtimlaconverter  sample-rate=16000 feature=lmfe params="params,nfft=512,nhop=160,nmels=64,chunklen=0.96;" !  queue ! qtimltflite name=infeng model=/etc/models/yamnet.tflite  !  qtimlaclassification name=postproc threshold=10.0  results=3 module=yamnet labels=/etc/labels/yamnet.labels ! video/x-raw,format=BGRA,width=368,height=64 ! queue ! mixer.Copy to clipboard

Figure : 音频分类与解码 Pipeline 流程 - mpg123audiodec 解码器
                        
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)

pipeline 执行的顺序处理阶段如下表所示：

Table : 使用 FLAC 和 mpg123 音频解码器的音频分类 Pipeline 阶段

| 插件 | 说明 |
| --- | --- |
| 文件源：filesrc | 采集视频和音频流，然后使用 qtdemux 对视频流进行解复用。 |
| 音频和视频 capsfilter | 确保视频和音频流格式正确。 |
| <ul class="ul" id="audio-classification-with-litert__ul_asb_ww2_s2c"><br>                                    <li class="li">音频：mpegaudioparse 或 flacparse </li><br><br>                                    <li class="li">视频：h264parse</li><br><br>                                </ul> | 解析音频和 H.264 视频。 |
| <ul class="ul" id="audio-classification-with-litert__ul_zyx_zw2_s2c"><br>                                    <li class="li">音频：mpg123audiodec 或 flacdec</li><br><br>                                    <li class="li">视频：<a href="https://docs.qualcomm.com/doc/80-70018-50SC/topic/v4l2h264dec.html">v4l2h264dec</a></li><br><br>                                </ul> | 解码音频和视频。 |
| audioconvert | 对音频缓存在各种可能的格式之间进行转换。 |
| audioresample | 将音频缓存重采样为不同的采样率。 |
| audiobuffersplit | 将传入的音频缓存分割为大小相等的块。 |
| [qtimlaconverter](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlaconverter.html) | 对音频流执行预处理，并将其转换为张量流。<br>音频分类模型使用该张量流进行推理。 |
| [qtimltflite](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimltflite.html) | 使用 YAMNet 模型执行推理。 |
| [qtimlaclassification](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtimlaclassification.html) | 处理音频分类推理结果：<ol class="ol" id="audio-classification-with-litert__ol_fz3_fw2_s2c"><br>                                    <li class="li">将阈值应用于所选结果数。</li><br><br>                                    <li class="li">为分类创建文本叠加。</li><br><br>                                </ol> |
| [qtivcomposer](https://docs.qualcomm.com/doc/80-70018-50SC/topic/qtivcomposer.html) | 将分类结果的文本叠加与视频预览合并。 |
| [Waylandsink](https://docs.qualcomm.com/doc/80-70018-50SC/topic/waylandsink.html) | <ol class="ol" id="audio-classification-with-litert__ol_kjr_fvr_lbc"><br>                                    <li class="li">Waylandsink 将其接收端口上接收的视频流提交给 Weston。</li><br><br>                                    <li class="li">Weston 在本地显示器上渲染视频流。</li><br><br>                                </ol> |

**Parent Topic:** [LiteRT 用例](https://docs.qualcomm.com/doc/80-70018-50SC/topic/tensorflow-lite-use-cases.html)

**Related Resources**  

- [音频分类](https://docs.qualcomm.com/doc/80-70018-50SC/topic/audio-classification.html)

Last Published: Nov 12, 2025

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