{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Speaker Similarity" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This tutorial is available as an IPython notebook at [malaya-speech/example/diarization-speaker-similarity](https://github.com/huseinzol05/malaya-speech/tree/master/example/diarization-speaker-similarity).\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This module is language independent, so it save to use on different languages. Pretrained models trained on multilanguages.\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This is an application of malaya-speech Pipeline, read more about malaya-speech Pipeline at [malaya-speech/example/pipeline](https://github.com/huseinzol05/malaya-speech/tree/master/example/pipeline).\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What is Speaker Diarization\n", "\n", "In one audio sample, we want to know the timestamp for multiple speakers." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os\n", "\n", "os.environ['CUDA_VISIBLE_DEVICES'] = ''" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "`pyaudio` is not available, `malaya_speech.streaming.pyaudio` is not able to use.\n" ] } ], "source": [ "from malaya_speech import Pipeline\n", "import malaya_speech\n", "import numpy as np\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### load Speaker Vector\n", "\n", "So to know speakers similarity, we can use speaker vector, read more about malaya-speech Speaker Vector at https://malaya-speech.readthedocs.io/en/latest/load-speaker-vector.html" ] }, { "cell_type": "code", "execution_count": 3, "metadata": { "scrolled": true }, "outputs": [], "source": [ "model = malaya_speech.speaker_vector.nemo(model = 'huseinzol05/nemo-titanet_large')" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [], "source": [ "_ = model.eval()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load audio sample" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(1634237, 16000)" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "y, sr = malaya_speech.load('speech/video/The-Singaporean-White-Boy.wav')\n", "len(y), sr" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "# just going to take 60 seconds\n", "y = y[:sr * 60]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This audio extracted from https://www.youtube.com/watch?v=HylaY5e1awo&t=2s" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "# import IPython.display as ipd\n", "\n", "# ipd.Audio(y, rate = sr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load VAD\n", "\n", "We need to use VAD module to know which parts of the audio sample are speaker activities, read more about VAD at https://malaya-speech.readthedocs.io/en/latest/load-vad.html" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2023-02-19 19:33:13.166314: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 FMA\n", "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", "2023-02-19 19:33:13.172040: E tensorflow/stream_executor/cuda/cuda_driver.cc:271] failed call to cuInit: CUDA_ERROR_NO_DEVICE: no CUDA-capable device is detected\n", "2023-02-19 19:33:13.172063: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:169] retrieving CUDA diagnostic information for host: husein-MS-7D31\n", "2023-02-19 19:33:13.172067: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:176] hostname: husein-MS-7D31\n", "2023-02-19 19:33:13.172136: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:200] libcuda reported version is: 470.161.3\n", "2023-02-19 19:33:13.172154: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:204] kernel reported version is: 470.161.3\n", "2023-02-19 19:33:13.172158: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:310] kernel version seems to match DSO: 470.161.3\n" ] } ], "source": [ "vad = malaya_speech.vad.deep_model(model = 'vggvox-v2')" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "frames = list(malaya_speech.utils.generator.frames(y, 30, sr))" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "p = Pipeline()\n", "pipeline = (\n", " p.batching(5)\n", " .foreach_map(vad.predict)\n", " .flatten()\n", ")\n", "p.visualize()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/husein/.local/lib/python3.8/site-packages/librosa/core/spectrum.py:222: UserWarning: n_fft=512 is too small for input signal of length=480\n", " warnings.warn(\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "CPU times: user 46.9 s, sys: 1.68 s, total: 48.6 s\n", "Wall time: 6.09 s\n" ] }, { "data": { "text/plain": [ "dict_keys(['batching', 'predict', 'flatten'])" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "%%time\n", "\n", "result = p(frames)\n", "result.keys()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "frames_vad = [(frame, result['flatten'][no]) for no, frame in enumerate(frames)]\n", "grouped_vad = malaya_speech.utils.group.group_frames(frames_vad)\n", "grouped_vad = malaya_speech.utils.group.group_frames_threshold(grouped_vad, threshold_to_stop = 0.3)" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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L+GYLD3MScMP3Pd/J9Xwvy/aW2fezgd1CltSkEPvP99gaDMGfT97sBhYuUxIe3JuMX5R1ojQ9fI3P+9h7f+exo+JdWYHlFf9tva+Ln08mMw/P9S31PJJyLnhLSTED6I2ezElGWFJ7f6/Y9mqFZJSk+e63wHPB/duavYYDhy+/734ysEzE96xQUlLMsKR6yuf73Ru7h8NPmuI+h53O3r+nWMxwdgImM2A2iz0fAq/bULyPbV2t93ktfn6Fu3a8rwUxUvaZtHu91/cyvucNALhcAgAeHR2Mz+8xJxnhOa/9z7euLt/fEu65BoQ+D4ym3vue/z71L1NvOYJdr4Gk12vc2/z4IyMWXyctiLbbbcjNDYx99ExygPmjH/0IH374Ie699158/PHHaGtrAwC88cYb2L59Oz755BMMHjwYN998s2aFjUReXh5+97vf9fx76tSpyMnJwR//+EccPHgQI0aMkLytxkYbeC2brRSy26OX8q3W1ttj6P+9HMdHsSy9Qzyi+fv1JDU1ScZvd++vdpFj5s3/72I4jhd9X7DX5bxHyjbsNneFpaDQ91qU8lk5729ocKdKHzuOw7Cy4Ne9ZzsnT7jLZDQCnlusra0TPA+8v9KIKedzKBoUuB2zhOumtd0AQPwB1tHBwTMopd3eCUEAupze2+29VlxdXMjvknINc5C+n9U4J+R/pvfx5n6P+992W6doIqu2ViApGT3zm0IdD86rEl5fJ+16CV/e0HjOAE8bfLu9E5bUJHAcjw9WucvimWcavNzew+GEnm052p3gOB576lyo7TRges+cOvf7pd5bxM6HyqMsABbOTu991J2ExO6EZ0ZN4H4JrJocOewEZwi2/zzbdP/N7HU/C3eef9fofm/FGQYDCsOPaPI+9t7fKQi9x0fs7/u+ZWGxCAACK5Te5yfPsaK/0d1Daugpt5TzSMo9xfu8cLQ74b3vnZ0utNt771W+23N/blsdkM/0fsfqmmRsaZqGgSNDH8/w5ff9DMcLEd+zfPkOD3U4nN337MDv9vA/hwH3Pnt/pREMK2DxtWJBoP99KDTfY+t9XouXyfv9ba2BZa/ZOzTk99ntnXDygJEB2CDtp9Lu9cHPGwBobel9j/fvcXa64DmvDx3gMWCAd7ps39/Sbu9ESzNQfZrFBUGOd6jzwNXFiJYhoExO7/IH7ndbWyfEZgNKr9d4nkXSnx0AUF/fJvm90cCyTMgON8n97BkZGXjjjTcwadIkrFu3Dps3b4YgCHj00Uexbt06TJgwAa+99lrYeZqRslqtsNkCMyC2trbCarXK2tbFF18MwJ3AiMhDA/NIrH2y3uAzF0YrniUSmoMk4/jkYwM2fu6+le7czmL7VgM+8xvWZLf3pj7f/502Q5D9h9sc3M/gg/eNaBe0Gz7e2tKbuEMKlwtYv84QkyQZHpXHxI/j+nVGVHyi7HyqOcvgy43Sj2vVKabnnPF26CATkIDndJX7NTWbNHmvJCueofEvnkrD+7UpKn6Luto1TnwsaDiArr7ePf9w147w5xfnNIn/IcwJwHHA3t1sRMvZNNT77gMle+QrDYZd6llLs/v/BV7Z+bN5E4tvtrA4XcXg7JnIzsH1HweeXx1BshJ7e+hQBt6sjkIq7DAcjvDv+XyDAQf2s4qWrZG6d8MtiyTnmRdOS4s78ZeUaQvxRtbkoIEDB+L111/HwYMHsXv3bjQ3NyM9PR3jxo3D6NGjtSqjj5KSkoC5lmfPnoXD4QiYmylVqGFvRFyTSDZLQqKJC5Mk46svWbS1MVh4ibZZGNxDixkUjQCOV7Jer6lPzlbPVHf3ZgqBFb7NTWZcnh/Z/POmtixs/bh32QtJnznHoK2Vwbd7DZh9UWwyrzrafVPhA72JmNrtSiuJ7oodz/OiLdv+tn7tqQj2NtVxHLBvrwH79wm4+loOK5YbMWIkj4P7pd1ra2sZ5OfLD0MP7mdRJvtT0qg5x6iykkXWBPex4nh3T/P6jwwoHhJZcyejUugeaitHD8t4Xgqhz8Fg1ZUTxxkc6f6eseOV7ZMTJ+Q/1zeeS4r4XhLP9u2NrJGz5qx7n5+ucv+7aFYEGwtz7oipcrjL/21bkIYNDbQF6YiTkhLFkxyLD/M0POkwoM3FYLSCbOnHK1kcr2Q1yT7u7/BB9/H/+itDVL4vmhRlnxgxYoSsIaVqmjVrFv71r3/BZrP1ZJJdu3YtkpOTMWXKFFnb+vjjjwEAo0aNUr2cCY9i8j6lqwvYs4vFuPE8THGST+nsGX02gkTj0vEshRAMp6Ai4u/42WGyP+MJOGLZgykWCHi3SHd0AMlKkyt6bXzVCgNGlIde79HlQu+wvO638TyD2lr38ZEaXALAl18oq6A0NDBoNWnTc1lTo97ZbmtjkAXgow8N6OxkcM31LrS1uRsrPKpOMaLDz8W0uRg8lrEQMxwRdPlJ1HRO+n7gOpMABD+OwYJ2oTumjCQTp3sYoz6p1RBAfG1pUv+B3hVm5RrvXvb6Oq/kSTKWr9nKDcOYEH9/7oQ7PvhTuddJrcN6q/ezh+fdDY2m6MX6mtJnDSyEG2+8EWazGUuXLsVXX32Fd955B8uWLcOSJUt8li6ZP38+HnzwwZ5/P/vss3jiiSewfv16fPXVV/jb3/6Gxx9/HAsWLIhZsJwoTjn0kemNaOfoYQYnT7A4fIiFywW4tK+TSRbuYdbW5v7fN1vYiFPKN51zB2/nzsn8oEp1Ix0+H0Xt2MZi3drA+4Jn+CcvYzjZrh3imRSVEvtm78MTSRZlz3Y6HO7K0v59ocsdbEjYl19E957awGuTPELwCnbUWry8s9N9BMUCrd6e4fAO2YzgGRYbz7l7+KVeol2uII03ITbgcER25XZ1AVVV7vPy8EHtAi3/9SmPH2dVHQ4Y78TOYa2OxuZN0ameb2/RIMDsCjzfg+2n1lZl10aTELtkm55eR7Xt3M7if6sSZ2mooL9k2bJlijbIMAzuuusuxQUKJyMjA6+++ioefvhh/PSnP4XVasVtt92GpUuX+ryP4zjwXk15JSUl+Ne//oV3330XnZ2dGDBgAG6//XbceeedmpU1kXnfEtriYD0vEpmWngyz7kQ1QOihPGeqGbhcwKDB2rc6O50I2avq7AT2fWtAQz2DkqECcvNCl+mjNQa0tzOYO9+FTL/pK55e0ZozLLKz5XUVtHU/SL3Tssulp9H8Li54M+uJ4+IP4COHgj+YnfYU7NnNYuw43ud3qpGS35t3Piv3ucEiO6f3nFBjLTap8+D272MxdZr7C2PZP9MB7YclcC7A4Bf/OTsBs8Ipe40R9oJvbVb2m1ts4ee0qc270hns3PIEgmquJXiukcHePSwmTqKsC4B75EVunrbf4bS7RxN4hs5KZbdrURplRO9lYXreVfmOMNR6fDY1SX9vWxuQlhb82e39+snuIepyRmLomawA03uuouDVfOh5XRAEzQNMACgtLcV//vOfkO/ZsGGDz78vu+wyXHbZZVoWq886YjdilIJx7iR2HA53a9mU83lJwzGqT7tvfP5JIDo63AlOiof43gy3bHbXJAcNjs15EWzFonC9KA5H7wLQFZ8Ycc31rp6ekpqzDIaWKrvpCwDq6iJ/vLkUJpLQi1B7r35vGWq7WAwv45GiYa6Zo4fdQ70B4KvN7kXLj4dfQlkTtd5DSHVSn3DygFmDBvqaGt9KU/VpBlu/NuD8CzhFk3X274uskF1++9tznbdzwPF2+c+0WB++/d3DqU+eYDBxsnrbPX5MHwGmlkmYpNq8yYArFvk+RLwDpDNnGDAABgxUfjbU7hgDDJX/3Fz3obY9X64uYOcOFuMm8EgK0yh0+BCD0X7jV0+dEr9elfZg1guZAPQ1ptvVYfaZYlFbw+DLjQZMnsJhcLH0c2Lr1wYUDYr/OnXQM1IsgHv11VexceNGXHHFFZgyZQr69euHhoYGfPPNN1izZg1mz56N2267TdMCE/3Z1WLCov59d5J/PPruWxY1Z1lUnRJQMjT4jc9m860E+2dS/XqzAY2NDPLyXLDIXJOd5wBWhZGAYi32/tn4PJXHzZsMWLTYBUOQO5/YEFrPcGCnMzA5jCwq1EBfPR37TH/acR+zaPTSuroAowlobIhtpVVsKJkUavZS+XNwDAxM78n6SX0SPmlIxsPDW5As93r1+nnbvjEgI6O30uQZzvr1VwZFiU3q6yILMKs7fG8C39ncLW1vVltwxG7Cg6WtyDSJXLR+h4xzIej9RKldO92NIFISRnl4sphqeW7I0eEAklVsKDrO5+E89TanCMcx+O5b34Nyzmt+7ZYv3ed0sLnQdXUMsrMF7NvLYtQYaY27elFZyaDqFAuGAc6bGvokE8uo2xmlKuJJQzaKYzSq7uzW8fgQvcffM6e5uYkJGmAm8hD0oLdF/4Q5q1ev7pnz6J8U5+qrr8ZNN92Em2++GfPnz9empCTqajtZVLYbMS0r9CQ3PQ3bI9KcPBn+oDkcwMdrQ9ec7N1Lb9TUMCED1YBtN2Zg1UYj5sxzISs7+PvONbpbPseN54OeZ8cr2ZBZEwX4BhIuzl0hFHjlMV9Hh1+CljA6VVqi1aVCch6trF5hQNkIHuWjYt2XE57DAaQHqdx5erAVieCny1la2eEA0jRcc7vKa179Jw3d62FyLJINkUUvamaV1Upjd4Z0dyKs8AVubgZy+kl6q2SVR1kMHCggv38c7LAgOjrUDTB5naQMkZLpNJhNn/deV81NDC6cG5tM2ko0N7nvi6dOsmEDzEisWG6MKJvq6+lTgSPif/O+s5+pVn6fr6tlIWWxPnejdGi1Nfo4r7Ug+Ze9+uqruOSSS4JmXB0zZgwuueQSvPbaa6oVjsTWXyrTsaqm9wnx4slUfNPkrpV5XzbtXOJcIE4e+LzRLKuyF5e6A5WWIGs7Ar0PlGC67Mno6E5eEWx9t2AVSkf32lz+Q279fb7BgGNH2JAV03At9u7F3r0L5f6/Lz43YNV7vhGiTWT9K7GvPl7J4tP1vr+ZcwaPNk8pSP8vVyRzOyPFc+7W/f3fRdAl3b2jtfgV/q3EoS7vUNdEOPXdDRl1tfK3oWQdNK0CNvHGnMi/LNLGyFDXmMeK5UY4NFz71V9dHYN9e/X0DJS+k1sU9qD3ZWo1qDc2xte+VytJl154pvFo6eABPd0Xok/yrz9+/Djy8kLPbs7Ly8Px48cjLhSJnIMDvm0N/TBu6WJw1C7tIrO7GBxtN2JFjQWNElpl4tWnDclYW5eCnS1xNHZFIrGgOVgrnpQF52t2jPX5t5zJ+vaaXADA3j0GrFhulLVIvRQdHb2/y3+Oh2cNLrHhkadlVPLtNt+FsZ026WOETxxn4HQCp6vUu5bCNQjogtc56L8kguDpnQ3xMzo73AFES7O7V7hq43morw//tef8K3MaBWae9TS5ENfCvm/Fz3VORqP90cMs3l/J9TTUqEmAeMVAydkl5zdJIrEH/zuuKOKvqulkJTU07t9nwKGDbESn1LcxClBbXX2zAuyMoAPu1Mm+uc+8G7OcYTK3h3NOwtSEr74M3M9Sk6cRfZB8paSlpWHnzp0h37Njxw5YLIk8R0jfzjmZnuE9vz+cgderU/FhrXt4Ey8Etnb/v6NWvHjKner5kM2I+w5koEOklepsB4uazt5T5bPGZNQ5E/Mm6/n9y89awCV6L2YIzU1M0CUUghFbPHnVCgOOV4o9THxfq61hRR8egl+FsqPDnb7d+wEndpi8z3X/8/6Lz3wbXnivStaJSt/zesVyY8hK8ldfSmug8W/93bHNgK1fs/hmiwF2m6RNKKbX0/grvxZkgXMfF1uQRbgBYNNG92e++drQ3QPAKEoZr2VrvCC4A8BgDgVp1ZZznI4eYdHaArgcClOwhiFWlmPt8ica+i97Ea08LXv4IYo/6ynia6dT8VmjjP0bwfB1sXM4kuvWpvE9JRbUvI8Fe7Zv3sSGXUOYAB+sNkY07cMuYRqC2DrWtWHW1bWHmXsp9wqVsxxbPAz/jzbJT+bZs2dj+/btePLJJ2Hzu3vZbDY88cQT2LlzJy666CLVC0mkeeKYFU8e852Y88W5JNhcDO4/mIGP64M/LP9V5e59WVETOGlC7GZ8xK7fHr6DNiO+boq8fHWdiRlES6XGWpcCz2DndmlBWMj1n7rPwSOH3MmJvIPWLqd73UXvYYneD5LWljBDfdtDTxTa77XYfVeIYDPUQuBVIhn02u3ucoXq7YobKgYO3r3P/jzDV9tamZ4Herhh1kDg8NOas6E/s2K5EYe5gUH/fq41J+jfjh5hfNY9POv1XbzK0wlcYc5dJQSIV5Y2nYs8mO0McWz1qCqGazxH0vsbbu68RyQ9eYlI7tIgfYn/PUFugOnz+TDB2K4d4sch3DQC/8zQkdqzW/r50Bxi6ZJI5nvGM8lNNffeey+2bt2KV199Fe+++y7Ky8uRk5ODxsZGHDhwADabDUVFRfjlL3+pZXmJAk1d7otkQ2MyLs4LfVewSxgyo3T9sGh5pTtYPj9Lfgpr79tAX2iQClWZl72tTgbWCPdaYyOQE7zuLsoTvJ04Hjx7XyS8M+KF6pmSG2TFOrDkBMCg0uHf/52KFTOJZTp1wrM2a/gP+PfoSDlLv+OLcIVIIofaThZHq0eIfmbPrsBhlV9tMvScl4JIgNnaClitEgoURTtEpgjUdMoLtsQCpLNhAnu92W+LXUPq4YMsCgq1nfjWV+PLvvBsj2fB1j5WMk/dm9z5s3J6JUMtt9JXh/ZKrhXk5OTg3XffxbXXXguO47Bt2zasW7cO27ZtA8dxuP7667F8+XLkyK0dEqLQrjDzJPe06reXNRGdawj+N2entJv15xXibV6C3/87wgyxkbXmZLQys/p9jacHM1xvWqS6grQjdqlYuww27NOff6t30zl3b2GX15Dn+joGmzeFTuwEyHtoBzSkRHDMnSHWInU4mJC9dGLzdD1L45w4ro/eE0EAvm6OvLdyn8g6leH2+rnG2C+z0dgVLpCWF55s+kLZcXV0ZyuVct9UklRKqdMOFo8fDZ/CuLWVwSkJ2cpJfOjs9D2Wzk73VINww1Y9vIM7sek08c5/aTTvZVmULkcV72QNNs/KysIjjzyC3//+96isrERbWxvS09NRUlICo9R8/SSmBCFxlhU5ZAt9zq2uScY4q/Kmoz7fyinzPKmqYjFkqHiL+wfvG1E2gsfoscpqjzVnGRQUCj3DUI75Z4b1E25YrLe26nygTFGxfPCuMBXTICdUV6Tra4ZxgCuEo06buXpi/JM9dTh6h4byXsGZ3cZgw6fua/h/q3uv5WNH3O91dfEwhRos4bXLHA4gJcRoUf+zQUqlvUWwAFBvMpsgAA37Ak80hnFX1OScsx6uTv2OJqmX08gDd2PDZxVGjCgPveRQrMk9Su4lDeSTs27grp3Ra5xYX5/cMyoqlG3fuO+HgwYHH1Xi6gLeX2XEvAUuZGSqVUIpAo9iNDJ9+xNbd1lMJEujqKXpnO8+q61l8cVn7n02d768kUNSlu8QE+76D39/kHcHkdOD6f3eQwcZ7NsbWB8QRHKhJDJFV5TRaMTw4cMxadIkDB8+nILLOFLdEfqQHxeZc2KP02VIFF3HXvc9Pd8I7C5GtaVUWltV2k4Lg42fBw+yDilIxuLx7R73ZyNdXF0M3xXjnm6NG3xOCPn4vDFZ2y/x4n/dfPiBEbW7xJe3CinMfhF8LtbItiWGg7rz70IlzTp6WNlJwHWo03DgvS/bVMosKrrcS4if6Zm32tgYYqM6XgdWbYIAfLreoPjc0PPzy2P7Nve59ul6CXXIEMe+gwO+TiqO6DfHIjGSzS7tfXocYlnl1TstJWBsb+/9b/9gVTIF1793PUnNu4f/Manx6skVCy4BoPVkAVa+23fipfiMHEhIbSHmJPEil9hur6GmnMgFvKYuepVTOcL1hSXS+pze7C4GfzxixTtnUmCTMP8snOogS2Ucr5S//8L1wpypZkJOhg/Gble3Yuk9DE/g1TlP7LW5ij7XUMfIWuJF97wOlWf4lJJkNP5HfO8e5cfJP2GVruYCMoDLP9uqRC7VAsxeq2tje78P1YgULiFXIhEEBi3NDPbuEe8J8SbWw6Vmr9eJ417LPqm4tIla2Zzfr03BpynlOGyXVnkXC0TbVX7GSGGTunaxDhsLvJ/JUoqnReOwP7Hjur9NeUDnv36ytwq/dbDDDe2vrwdsZ0Mv9ZhoJO/5W2+9VdL7GIbBa6+9prhAJHL1fkuIhMpuCQB72+JzrmKtzKQTcglady0pZO+ujO5qNWNXqxnPTdZm/Izkh58M0VjcWAqfNb3a0gBEnhyIUzhcsaGBwfqPDbgh4hLIo1Wdxfus+XJjBMfb7/SrCjGfq66OweDi4L/Iv4FCtHctRhhE0rLu+8kuhevTfcP1Dt2t7oi8hb2lWfz1UL9TyjquXIf8a+yI3YBhqQm2Srwfl8ZzvHZsMyA/34VMAGdUeu4ePSKvzGKN4x7N3UN2WyJocLVL7E1Uk9TnoQ7jSx+O9vDviZWuCEY9nKkOHhT7P1PCTXTZ+JkRrFGHXdEakvwk2bp1a8i/MwwDQRDAJMoEP9JD60BOKS06ffScIffzRjMqGpKRYVT3l+//zgDr4OBLMkRbNB70rfITDGvK1sYA+j315InBI+DUydABZl/xv9VG3K6D86hZZgAvCMCB/RJ6OBScW/+uSsVjI1SaBwDA6YrOfOZ0q4C2IJkpeac6jcL+6wyHsnaNuufWnl3y6hV7+CG4CeI3bs8are+dtWBKprKbO1VdlduxTZ91xKhSOZVCIuRLkRxgHjx4UPT1trY2fPvtt3jqqadQXFyMP//5z6oVjigT5+ekZFrMMfEeIqy36uraOvfwsDqn+jfz1pOFqm9TqXUfGlE0S9vv8CSX8RZ59kq9nTGx4YxgAW5v4a5v7/UvzzXKu+uxrPJjVatgfdx937I4F2xuISMz63Ec+E4kgyyAoA+njsZMiVuWf9xcKs/bbLVnqLq9YNgQpxknIcDU4ozqFLSbP+ZyAdFK5yF2Fqm5ZJfa1LqnhnO2g8WA5PidrxF5EiDlpMSXvEt6wxDPAYY4n64Z8aDo9PR0XHDBBXjllVewdetWvPLKK2qUi0SRlNuqHltStAi0vHUonBcVbf84YsJukSVZDrQZA4ZLxwt7bU7AvDmtBRvWJ5XAUSsuADhVOm4HJS59okRyBFP5zioY0XHoABtyDlJjQ3zca6QKtoxQsF/J8xL3aWLtppBCjbKQMhe1JcS6fEqFGqYaKb2NKomEU+FQdQ//BDL+S4Ro5Znj4Zef0bfA/eQd9H15TsPRB33o3iSVak/wzMxMzJ49G++9955amyRRUiWSOZYAX5zTwVizbqF6c/a1GPDfakvA6/8+nYo/H4vPB8a5Q0OjmnofiPwh7urQZzKsSDh54JzMlPJ1EtdFC+ewX9bhUD0Mclum9VQXiEbjnUvnnetSh3wqSRalNj3synOHhoZ9zzGZcxwj4VS50yuSdRI/a4jekkzBVHwSWZ1KreRHfU24a1Pt0Qze1N6yHu4zkVK1BpeWloYzZ86ouUmiwIqz8h7CzSpmhdObnS3xmcDI3y6RHspEF821v1YsN+oyFXystDDJaHMxePlUKp44ZvX5m4NzLwsQTCyGmnEqZFOWSk/BqVQPHozOsM6wguw8qdlw204PULEwCkVpqZRIK5ipaaoUw0ezkCr6OqdCbdjTiGq3A+s/Uj428KP68A19nby2xzDSjLT+SxrFw5IzehDL3ZQS2MYfkdNBsvvHE9VG+HZ0dODzzz9HTk6OWpskCvkPHXUouJmuqom/3hhBANr9hrW+fcaCiRnSxt7ouSd3n8xMv/77AQBao1gJV4OSYYORBIl6WMw6mn5/OAP/N6wVjU4WhSkcjF67+9mMi4Ajvf92Cej5++8Phw5WalTqwdSS3c6ETEEfTXqcfqAVW5CeKduZfE2/t51zBxVZpsiroK3tmZEXSIoIA9mjh1nMDjMIR+7eqOa1q991dLpnsXVGYb7hkzof2VNX24duCjoR6fPfrvI6qtG4DrQmOcBcvXq16Osulws1NTX44IMPcOrUKfzwhz9Uq2xEJS+dkt+UuaXJt0X5hZMaNIdGQKxF741qS0RB4kYdDYn1JyfAbHQyqO4I3A/vyezZVkqt1lZOwRzYD/9nwMDpyr6vL1X0PR450ts7+WBpKzKDVMD3txkx1iotIpOy3IQevL9SHxkUEm3+ZShnzsTmt/75WDrsHIs/lSfQRL8YOMxrl238680GXHO9KzHGBkbIvwf0VIglmog6vvs2spF8cjIy9xWSn7D333+/6BIkQndtkmVZXHnllfj5z3+uWuGI+l6tsuB3w0NPcNgcpUCrymFA/yQOJr/rmheAQzYj/n06FVf3d2BKphOf1idhfEYX8pPckz2+E1k899sgQZggAJubzBiZ1gUBQI7Z9wlmczFINQiyA6M9rSa8WW3B/w1rRbrR98Mn2w0418XCYhAw1OKC0es38gLAdl9KB9qMSDIIKLFEPuniqN2AoRYOT/oNaez93ujcAB2NWVH5HjFKglKPqpPaDhXXe71pZ4sZc/qJN5vqdU3YRNDS0nf2raDx0MRg7FziTgPRuzb1VoiRzPsZGytOJ2BWWJXyr2qfPRP8/G0+Xgj0V/Y9UrVEKXOyXAFLeUTwkG3X2VqeidDgLTnAfPzxx0VfZxgGGRkZGD16NHJzc1UrGNGGTcKD9v1a7Xu6TrQb8Hx3r+ifylvQ6GTxapUFtX7De1fVpGBHswmnOoyoaEzG4yNasL3ZhBU10ge8b2ky43+1Kfhf9+/ytGL/ryYZDANs6s4s5r++5BG7CRsakpBq4FGW5kKmSUAH584i2c/M483uxDqeXqD7h7aCBwMTI+A5rx5fi4FHO8ciheUxp18nPuxebsTICD2Tzu8Z0oaC7vTgDs53GKKJkXbXrO4wINccPNtCtJKPq7VGW7T5z3uJVLzNm6ntZLG12YQJ1sBxxo7uwF3JEh3R0tYGpEdh5Jvaz/0EqEckjESZs6+VDsjfP3KWf2ppBmy2yK8IPdx6T1cxKBmqrCRynh1tVQOBadqN9z9sM+JQ1WjNth+Jmk7fZVX0cNxJL8kB5tVXX61lOUgU7W41YbxIJTISu1pMOGQ34saB0mrpJ72Gsn5Ul4TPGoPP+TzV0XuaPqAgWcVqv4D5vgMZSDXwAa3aLSLJjtZ5JQwoTnHhhCP4JeOfDMWjvft7HDzbE1wCvhnN/nY8HY+PaEF9J4un/VKFd0nsefywLgXDUgMfNJ5WPkeUll2J15u82i2Gkaaqj7ZdrWbsajWjpiOwF/OgzYjzs5z4+3F9DZX3tv4jIy6/yoWk2CeRlEX1807Q71xyvXv7jMqZOhKMoCAvpJxg6dP16gxbP+kwqDIqKBJCBC26lcf005Cn59wNUpI1ST39Ihn9pIVE6MGUfBavXr0aBw8eDPmeQ4cOBZ2rSfRDi7l4b52xYGeL9PEgrV7BXKjgUitKhkyFCi7V8MDBjIDgUq7lIhWkDY3uGreS9fv6ErV7MOVG2rxOIvM2kQftfpu750JqY4dadmyXd52ued8Ih8ZDnVR/8Ku8vWCZPgnxt7lJv3kHxDR3SbtY9JAzoro6ASKEOCPaiC7xuaq3ufDxNgJKjOSn9/33349PP/005Hs2bNiABx54IOJCEW1peRk9Uyl+Y6/tZPHXyjScaHcHOZu0XPC2D2voCrykP65Pjtq8WgDobBLvyY3Uls0az5FUOXjyfz4cD9sqra8HnD+xzMRyKJmLdaJS/jF3aJ4NWN0nv9pHvUu95PAJx+5idNOQowcHbeoMCQ41v//gAfXu248d1ebZooX6Ov30Qsrhv+TMfpXOES0ctvfe675tNfpMTfKI14b1b/fEZ7m9qXoFcBwnmgiI6IuWa0AFu5j/UpmOM5298y6JNpxBju0ZkayyWnGcy9Rku2eq4+yBHacV2WAtpwdtkQUuzc3ReTa4NB7SpfrW6ZEZNX88YsWHdfG3BJdSLiE698xQo6KqT8fZfbuP8+8FlLtEWjR92tB7LR+yi5dzu4bzqvva0mZyqXrlnzhxAlZr/LQwEdJXxGmsE9fk7vOTgj6SpAXLGBsv89MOfqdexOYSmUfVJjJXOxJqx5exutYbWvqhvj5GXy7Dlzpejkpt54ToNOh+ZzPhvgMZ+G+19gkCHbGdWkl0amuz+HXdzrFo7mJg16Dhcds31HgSSsgmaf/hrhUVFaiurg54H8/zOHPmDHbs2IHZs2erW0KiCS3Hd9ey6QjVzKDFhU5Cq3dG8UYYpVbzYDqa9L2IdjAbXGOxQGjxSa9/0GbEUIsrYCkfLQVb7ideqLkcz0mHAUNTe2u0h21GbJcx11wKtedquWDAU8fS8KNB9qDrmmqh8kwZKs/AvZahjglg0NFHghQHfKeiHLYZ8X5tMu7Q6NzY3ap98P6Hw1Y8WR6DtU8U4PR9KYQVybQIlwvocABpOngcazW0uq6WhZb5+aOVGV0rIQPMVatW9fw3wzA4cOAADhw4IPpehmEwbtw4PPjgg+qWkGjipVPaJYJoZUMPQfrjEerljraTGico0pP6b8tjXQQAyhpxGAAdHPD8yTTUdA83L7W48OPBdnULFwPRSqLQ2MCgYr06Q8K3NJkxNLU3+1OVBkPNW1VeB7PCNQ4A8MTRdDyhQUV8+ZkUlKW5MM4rE7n/vC29+91h6dnIqztYZJl4rDhrwfcG6myxvDA+dY3DArT0/PvlKvdz/+nKdDxcFh9Bmj//ERbOIPX792uSMTO7E9nm2J2cn22IztSUmrPq3UMePmLF4yNaYGCAigbluTLeX+muc8y/2IVjR7RrIeUF4H4FqwvEA1sbg/T0OLu5eglZ66yoqAAACIKAefPm4bbbbsOtt94a8D6DwQCr1QqLJT6GUBHgaLt2Acc7aZNR0tWKUw6jTyWEkL6kS8GpLwB4+VRqT3AJ9F6rYsM148mxo9HrhlVrvufeNjOA3gAzWkv9qIEHgx0tJgxMUq+7rosHtreYsb3FjMEprajuMGBUussncU4kyzPo0bq65J75Xd8e0k9FtqMDSFY4nbSDZ/BmFIazas3JAw8FOSabm5KwuSmpZ91rAGjpYvBOFIf6t0Rp3vnmTeoGsvWdLDJNPKockW/31AlW02VX9BBcNjdps92zZxgMGChgw6cGZPdPBkq0+R6thIwyCgoKev777rvvxtSpU31eIySYx7uHJIxOb1F3oi8h8UJBw2NNJ+uz7qvH+zXJ+C7Oh67Gq/sOZOD7Be0Yb+3CxjjLfq12ZXqtV4Icz7CzXw5pQ5a5N6pc+V5ijZYIljwk1urrGBQUCugMXLZWkj1RGM6qlXNOBmZW2hqNO1tMePuMBXcNtuGrJrOmjeuJwrNcmsUQeWvRoYOJXQNsbgIqPtHmnDpeyWLUGB5N5xg0nUsGrtTkazTDCEIirLYSXY2NNvA6y3Xe9OaruLdqUKyLQQghCWlOTgc2xGDN3njwu2GteJimPujSkyNaetZuve9A7Ht71GBkBLiivCYvIbH2yv1zYl0EHyzLICcneCKxoGH3mTNnAAD5+fkwGAw9/5Zi4MCBMooo39GjR/HII49g9+7dSE9Px3XXXYe7774bBkPo7vy2tjY89thj+PTTT8HzPC688EI89NBDyMrK0rS8hBBC4hsFl8FRcKlfJxwGDLEkVlYjCi4J0b+gAeacOXPAMAzWrl2LIUOG9Pw7HIZhsH//flUL6a2lpQVLlixBaWkpnn/+eZw6dQpPPvkkeJ7HL37xi5Cf/fnPf47jx4/j0UcfBcuyeOqpp3DXXXfhv//9r2blJYQQQgiJhX/Q2tOEkBgIGmAuWrQIDMMgvTtHruffsfb222+js7MTy5YtQ1paGqZPnw6bzYZly5bhjjvuQFqa+M10165d+PLLL/HGG2/gvPPOA+Dunb3uuuvw1Vdf4YILLojmzyCEEEIIIYSQhBM0wHziiSdC/jtWNm7ciBkzZvgEkpdddhmeeuopbN26FXPmiI9R3rhxI/r169cTXALA2LFjUVhYiI0bN1KASQghhBBCCCERirv0TpWVlSgp8c3VO3DgQKSkpKCyslLW5wBg6NChIT8XD7YfrMOfzg6IdTEIIYQQQgghfVzc5WtubW3tGbbrzWq1orU1+MLBoT53+vRpWWUIlTUpFopaO9Hf5EStS5/p1AkhhBBCCCHK5OYGxjB6FjTAfOCBBxRtkGEYPPbYY4oLFA/0tkxJvjUJt/ZrxL1VqbEuCiGEEEIIIURF9fVtsS6CD8XLlKxatUrRF2odYFqtVthstoDXW1tbYbUGT5VutVpx7tw52Z8jhBBCCCGEECJN0ACzoqIimuWQrKSkJGDO5NmzZ+FwOETnWHp/bseOHQGvV1ZWYt68eaqXkxBCCCGEEEL6mqABZkFBQTTLIdmsWbPwr3/9CzabrSeT7Nq1a5GcnIwpU6aE/Nzzzz+P7du3Y/LkyQCAb7/9FlVVVZg1a1ZUyk4IIYQkmmRWQAcf+2XMSKCLczswPLULHTyDF0/pK38EISRxxV0W2RtvvBFmsxlLly7FV199hXfeeQfLli3DkiVLfJYumT9/Ph588MGef0+YMAEzZszAb37zG6xfvx6ffvopfvWrX2HSpEm0RAkhhBAik5ER8GhZC/44vDfB3pVXu2JYor6jdBgv6X2zczpRmMKjNJXTuESEELWNHhO/163sAHP79u148MEHcfXVV2PevHm4+uqr8dvf/hbbt2/XonwBMjIy8Oqrr4LjOPz0pz/Fs88+i9tuuw3/3//3//m8j+M48LzvDfiZZ57BlClT8OCDD+K+++7D6NGjsWzZsqiUuy/LM8fvBUKIUqNGq3fePzGiBRdkdaq2PSLfn8pbYGL0k9xNisfKWvDb0uDZ1eX6U3lLz3//ckgbHhvRCjMLMF6dlyZKZh4V4ybwMBjCn4+GBO5YNkq4Hn8+pDcxynirU8viJJzrB7THugi6d9mVLlxzvXaNavH1xPEla5mSRx55BP/9738hCL4/+cCBA1i5ciVuuukmPPTQQ6oWUExpaSn+85//hHzPhg0bAl6zWq14/PHH8fjjj2tVNAJgSucJXDs+y+e1+w5kxKg0hMRGcYmA7/bJ+8wfhrfinydTcbbT4PM6ywCL+nfgq6YkFUtIpLoy3wEAuHOwDX8/ET+p4o0skMFqU0XpnyytBy3eLS22wWrk8f+O6i8Z4MzZHD7fELwaN5o9CSAzauWJlusHtGN1bQr+OLwVDxwMXbewdAfhM7I7MTO7E7tbzdEoYlzzNCR916Z8JcPzL+Dw9VcGZGYJaG5K3FaO5GTttp2ZJaB4iICzZwSMvUC9hsJokdyD+frrr+PNN99EYWEhHn/8cVRUVGDv3r2oqKjAY489hsLCQrz55pt48803tSwviQOzHEdiXQQSQ4Yk6mkDAIMh/Hv8WQwCLu8OZjyYuG7DTAxDLe4W6sIUHpfnOcK8O7auM21GhpHH/ytrCf9mBW4Y0I5bCuyabFuPilI4ZJgE/Km8Bb8bpq9KXk4/hOw9mWCoFH39N0Pb8PDwFnx/YPz1UE3OcGJyZhceLWuFgQGuyA+8Hvsnccg28bi5wI5Mk4BfD23DZXkdyDIJ+FWJvpZ60LMMo/JGpIJCAddc78Lc+Rwuu1K7Hr6BSZxm97pYmz6DQ3IycNFcDskp8VcPkBxgvv3228jLy8OKFStw9dVXo6CgAGazGQUFBVi8eDHeffdd9OvXD//973+1LC+JA8kIfTN5eHhi3gz07Or+0asUZw09GbXvSiSFTAMAYFgqhz+Vt2B4ahcAYHpWYgzrGlEenR4vk0lQfchSpqm37IzKjfFDJc6lk8oEF347rA0mjTIsTMrswhir+P41J2lbCTKlxTawTTPGVyXPzPgO07+r2IYr8h3IMfNINgBmjXq3tTTO2uXz75nZgffHselduL+0DWO7z9NcM98zVDgvKTr3oVkXujB/YfzNRxZrPLIkBS4NKIdWvXz9kzj8vMQGEwvMzE6shu3cPB7JKbEuRWQkP4KqqqqwYMGCoGtGZmZmYuHChaiqqlKtcEQ73nNpoqGf1zzMZAU9OyQyaYboDWdjjDTnVkxhUehjsNC02+ffo9PdlZOkKFcCfzFEmxb+UWOicw4WFqm3v6ZmduJP5S1I0fCeVVio7n5JCtPAp5VRxbsxf6Gya1/qqAdGpTmw0bwf6sngFM4nIIu3gBkAytLCn996CJxz8wBrFGYGDZiyG+dfoN4ztzAlfp7fPx3cGwxfkd+B34uMMBiZ1hXwWjwoGhT7czhSkgPMzMxMmMLM3jeZTMjKygr5HpLYbi8Sb2H+VYkNS4tteCxBhzLo2S+HtCXEIMt+/aT9ioILAte7lUL1ISh+m5Ob/OS8TCcuzu3AnH7RbZnNj1ILvxRz5skPltTsYby6f4d6GwsiQ+VKKBujRESpKXbFPRWskYOUdBZChD9tVFoXCpJd+N1w8UaUvvZ8yjape63rZTh/aWr89Rx6FM3aKuv9xmQnCgrV2+9Zpt5t5Sfx6J/EYVD/46ptX00WvyRXYvf+FIOA3wwN32hqsejj3PUoLtZXeZSQHGDOmzcPGzZsQFeXeGuA0+nEhg0bMG/ePNUKR+LP8CA3dpZxz2Uxxt3COPEvV0cBQyRmzpbWssoq7EEtG6HufvJ/PAQLfEaU81h8XeB1Y2CAOf06NRvqKNcfYzC0PSs76l/pgxU5ZpEGOf6MlHUVmUNPgo3CyJbbitpxz5Dgw2ylPJ8G5emzsq2EWm0xUzLdvaKLI5iKkZau/MJa0M+3ISjclkot2gag4ybETy9gKCYW+GWJDVaLvuYey5Vj5vFomMajzCz555+WQ6AZnTz3IyH5J/zyl79Eeno6fvCDH2Dnzp09mWQFQcCOHTvwgx/8AFarFb/4xS80KyzRt58Msqk+P4nIMyI1sAGIhXoViVjSugLaLzeyyKHfyMMh/x7s2kixCLq5bn4yyCYaVI1I7dJ0mKgahpW5Gwj0si+9XXqFC5POE690qlne2Rfpu+fmorni5TOYuyTtB6X76skRLXhihDoNJE226I3SmjpNX4FKOsSTAl2a14HpWZ2YlBn4/CkeErzhrrCIR/8BPKacz2HOPOW/Ndssr3GwKEXb66R0mLRnyfRZ4r85v39sGoWjPXVKbaEa/8wqB2x5+XxUhkDHM8m7/KqrrkJdXR127NiBm266CWPGjMHMmTMxZswY3Hzzzdi5cydqa2tx1VVXYe7cuT3/ox7NvmFaZieKLdIfEEXJvTf48zKik8Tkx4PEJ6rP6yd9GNzSYlvESYqCZWD8w/CWgPlvtxVKT2rxs8E2pIrMqWEY8Z6YRBTJXJSI1+8Ls4/joUVyaJDF2K+KwlBRfwMGSq9kZWQIGDzY/f6BKg4XE5MqYe1Bf0ZD6EQXGZnqlLlfrvjreqk4pgVZ4YU1cjBIuD7SC2pkf2emkVf1HigI0buQC4sETJ8Z/p7GKjgnlbjQKL7uksUg4Kr+HTCK7OOx44JfxxYLMH0mj6JBAkwmYMRIHiWlwd8/KFk8MJxg7UI/rq27LHzYYf7RnnYQjMVrWsac+a6eKQEDC/Q/PLJA5bnjsRYkvUxQ501NrN+vBcmL3AiCAKPRiAEDBvi8npeXF/C+UP8m8eHh4S343WHpzTNXD5BXAf3xYDv+71AGRqR24doBDmxrMYOFgB8NsoMTGPRP4pBuFHB/9xpXxSkunHAYcUluB2bndGJfmxFvVKcGbPf2Ijv+VeX7+h2DbGAAlKZyuL3IjtJUFwwMsL3ZhHSjgLI0FwancMgy8XiqsrcGlGvmUO804Jr+7ZiU0QUDI96CPiy1CxfmdKK5i0W904BDNiN+PMiOvx5Pw4zsTszKduI33b/DU9H7k7UFle0G7Gs1obLdiGsHtMNicD8clxTa0eZiMCGjC2YWeKC0FY9LWIONZdzr9e1o6bvrfBUUCqiWXwcFAKQGnk6qyssTcFSkk1MvsX+ohhM5d3GzWYDTGfmvGjRY+rcmJQvIyAy9ZINaihUMrwv3S4qH8NizS+ddxCoIFuQZzF3IyhZQWxP6vGEUJOfJVHmeYbT1HyBy9jC+v2n6DB6bvpB//sjtEc5j5Q+VlDMEfNRoHm2tQOXRwCB+DHsCtwwR7z1mGOCnbV/COu0CSd+jmyvNa//3pC9R+PyKNjYOGkz9GRgBnCB+0peP4nHwgPQfpeX6l4lCcoC5YcMGLctBomh0evisWlpnek1ifVvVg7WwP1LWgs8akjA/t7MnzTggnojkvAynaIa5YV69Mt5/n+w1nEfsc6kGAb8OUq5hqV0YlMz5zZHjAHTh0u42l98O6+2NFBueVWLhUCLS6zsy3bcs3pPuw/EfxmiIQcIPY7I+WoflyM5x76ep0zh8s0XZyW9O9+0h93+MpaiQRKg8rQsHbOpP2puT0xHympfTTjhyNI/dO8U3Zs0Q0NqifkgdzWGxgpImASF0kFkyVMCeXYqLFDfEevE92ZUzM4HaMJVrY4r8nvQrRdZJlCrPHHh/FoJUUKMpyWoDYOn5d2qq0nuLDjsAorB79TiM3ocOD4u/WARY2dkCzp2Td/C867uhPhmPAbPe0S7tgyZrMCRVq47qJBa4OM83uASAdJEFgAuS1Z2vEupmdMegdizMk56AhY3iMFXvxZH7J7n3SVYUW/GNyfG3buNFc937KZIlLgxm34YBkwYdyWJD0NRwfpi1NuXslVBDHeU8xOUMKY5m5UDJGWJOAjJDDIOVW36DzpeXCDZ3UKxiP2GS+97k2QfDhge/V5ks0gJMBr3bSIlg+Ggs4xDvpCPzL/a9tzCs7z6yaDz6IhKhgrlBxYHHOi1N+zVz/esTADCwQNl35uUrL6vU80tJNm2teedEmHJ+dOYKnz9d/vd414f03q6QaCjA7IP8e8j8zVKwYG20qzsWiZ1Mw0SS3iS6B0vbcHOBHT8qsuNHRe6kDAOT1X9gWwdVq75NABg7joMxxYGFl/aep9YMfVeoIyLjqaf2MgDTMjvx29JWZPr1kl/kOITL8xw+69dK1X9g8DLK6TnIyZb+W0MFJQBQpmKFVWljmkHFUSFTp/EYNFi97akt2G8VO/6e1zw9mYNFgg65WJ/rRHm1UiwQiZYcr2WZ/OeH+c9FFduv5SPD78dYVrivud4lukQPw0RvzVxvStcdTElR+o2C5AMQ62zaYjK8nsnRWrNRyjxtf95LmWh5vktZo9eUJj2nRiKQPETW4+DBgzh48CBqa2tFlyxhGAZ33XWXKoUjsXFRTmCAeX5mJ75uTopBaSJzwwDlw6P0FNIUJLtQ3SHtcmUYYKw1Ci2efjfUwiIeLBv5fsvvL6Ap41ukpU3sec2om0kzieXK/h2ilejpnZWw5vTHfpsJDc7wFe2ZF3LY9Ln7IHkPnSoewuPEcXm1gpx+AnJzBST5DcFiWQE8L16QcL3F/p8aNpzHkcO95Ro5isP+76SdZOHO7365AhrqxdY3Cf25wiIep6uk7SuGAWbPMWDFmlq01/eT9Bk5GAjKhgJ3699f/MeKBUKe5FrWDHXm0A4YyGNM3V6sd03ofkX5HWmcNbCOE60hsqHueUlZ4edClo/igaPqlWfK+RywU73t6Y1Rdm3YTWmD0+ixwYPoAQMF7NL5vi4aJCA7xwVXNNvwFVx62ebeA8Qy6LkdpKQIcDii3MSip0plFEi+pJqbm3Hfffdh06ZNAIIn76EAM/6JZSLV0+LrckQyLFXtIbeREf8hj41ogdOYjI9PA4UxLu/Uae5zZGukSQpEfmpekAqrt5Kh0s7R7BwB5xoje7Ckpwtoa1Pn4SRnK2rPHQoXON5S0I79NiNywiwDwAZpvZ10nrQA87IrXfjwf+7HUUamELQHw2gU4HK5Cz12PIe9u9218HC7JSdXAA70/tt/PwbLbiom1JmYl893B0yBJfJ8zmQW0CWSBCnFEvBSUElJ7q2l9GvWJMC8NK8DH9Yp7poBwwJz57tQ8YnCWnsELpjBw7Sqdz50jln8iP2qpM0nqZuH9zxnKb0SWklOVj4S4KrFLmnLvkgsS0/gH8Ogx8ho+3xTukxVRqYAnJT/uVABrdQh88kqzOuPhNaJ8eTy9FbOyelAjpnHIZvvTvY+3+ct5PDBamX3p379lO337BGVMNWNktyQGO8k793HHnsMGzduxAUXXIArr7wS+fn5MKg55odExSW5ynv0QtHDMhhWkXmZlgjm3wzVeDFmOcTac8rTumBkgIxkAVcPCD+s+aeDbXjhZJpqZdKq8iV2KpWNCB3gyOn5mDqNw0drIqv4pqZFHmAOLeVx7Cgra4kKJd9oQQfaoSwjQ6pRwHleybBKLS4cbTcimRXQ4dWbGOmZ4N3rOXp08GOdly/gTLX7e80y5rimWvxKyACTp3DYvlX+MyxUj0VWNjC8jEdHB4PGBt+jZTYDqfn1mDI6C59ViJx/MnaiJ+Ok95ArNZcNUGOub6p6txrZpOzKvCQeDzV/hNcHzMdJR+/x8P7pYrshkp5dqaacz6EwguV2lPbGqSk7Wwi55IhcQ5g6AOo3pngoPaoZmfLeP2YsB5udQXGxAC7Y7pFYmOJiAbEYdBmNbN1ivHeLGWIjKIGHmj+CtdydTfi8gHVZhZ6tyHl++BObA180SMCpk6EPnDnVgSnTpI9UiXeSb0Off/45JkyYgFdeeUXL8hCNTRZZCHlevw582hC6AhoPPfujROaWRhL4DpGxrqfWss08znT6Voblzg8Sy1irFjUXhjYnAUHW81aFRWJPUYpFgKPddycPH8Hj8EEWQ0sF1JyNrBzDR/AoH8UjScbIcyWPpTnGb/E1OxENzsgbBGfndOJouxGDUlw4bDdCSk2oXz8BztRqAP193p2TI6BRpCc52LIGg4oFOL3aUeT05qb7zWFjAAwuFrB9q/RteOQl8chOb8C5tsDKbm6eALPZPf/ty42++5thgOyy48jOEV9qISlEjxXg7h2tqw1+BkxRaV22C3M6UZgS+b0i3LqyqanqBiBKWf0qi+FOq/SUVjg65XXdJKcI6AgxHK90GI+jR3qPrZI5bQajAM7FYPIUfTy3cvoJGFysXs0hlr3JUqSmCrDbQ589o8dyGFYm9PyWYHfkSIIfPdAsZ4LX7v2eaROASbI+XpTC4bBdm+CuX66AUwp6shOZ5D3NcRwmTJgQ/o1Ed+4YZAv59yRW3zduqdQePig2VDhWrhvQjlsK7JikQQbgYBYtDgzYvTPtmVJ7e8OHlKi3r8QCLvkt8uLlsVrdrw8p6f0d/Ub5Lk7p6VE8/wIuYGmRUaN4nD+dQ16+gt/rdX5eerkLFov4bw25iRDn+PAy8cp6LtOC+4YG3gN+Njj0fUGMZ5RAYTKHtJTeZXhCHZ/ZczhkDD7j/odX+XO796F/gp5gv3H8eN7nb7kKh7QBgMW/R1OECeKt9AYGKC08JP6ZCO4Zw4YLOG8q1zP81Z8n26pPWUy9DYZsBO0Ho9jemtEFWZ0YrEKAGc7Fl3EYXqafe6xHuBJZU4OvF6vUuAmRB9qLFnO45nqXrKBOyTNzYJK0c8OieOmU+OK55qVcf2UjBGlDl3UwIiyY/gNi3ygEAEZGfjmGpepnVFpfIDnAHDlyJE6fPq1lWUiMeAeYSjLIEu2lGIAxVheuHeDADQPbMSXTiUURrO8mhUEkaGBZYPYcFzIzBSRntfi8LkdKbqP7/7WaQ+L1gGa9G1C6Xy/1CmqSrL2BEuAOLEuH870LX3thDUBBQeSD5OTMt5MsaKHE/1CsoEd7QDKPnw9pw4LcTliS3QHq2HGc6L4Kx1MqqY0H/udjigUwpSobIJYTQXAaSmam8s+yLDBosCBrtAgrMi1AiSymdz8Gu5QHJSuonOm81wkAhnRPhRCbYpHolNzHpAY/xUP0f+z9XXO9K+TwT7GeuVgOR47mHk7vbpwNlZyoh4aP9auuduHKRdEJFINNXxGbJqHjNoGYkVwt/NnPfobPPvsM27dv17I8JAZGp7uQ0l0JF8sg2xeF6/WNFQMDTMrowrUDHLCatHu8XBHiBt6vHzB3AQcmgp5vY5K7J1bOWodKeZdSLHEGa/INtNLSgHHdvWXlo9SrdHoeQJG07Ct5iAVLwKPUwGTeZ+i50mNYXMIjPV1AcXdvct6E7zA8zFxb/8ptv5FHUTqch1VkuYOQ2wmx3WwZy6NE6pLLA6+zwYPFvz9aKQ+CBRAlqfIbJCzK8wRFJBXSn2PTs5y4tdCOB0vbwr+ZYHqWtH2rh3mgski4uc6YxQWM7PH0XGrWWBpCLHJfSPlKzfYE455CoXSNabm7a4yUYLqbJo3GcU7yLWDatGl45plncPfdd+Oiiy7CyJEjkZ4unnpv0aJFapWPKDA23Ym9bdKvQAbAiLQu7Go1wxQkaDDpsCX6D8Nb8IfDgTXLy/McWKMwA2J+EofaTgPywmTNTHTB5oCoVWlgDO7KqtIHZPlIHgf2B49svLKRw8ACru7D6Sm/SeLvGFIiYKdYm1pPuQVIeWx5B5VaVbyiXdfon30W7a4BKCxSdm+wWIAFl/QGLUnpdowZFnjdzbrQBWd31lX/4MeY0olxQ1S+VtXYkV7bMAfJYgqID5EeNcZ3CRUP5evthSf2k3862IYGJ4v3zrprTvE0lULOEEOGcTeyEmkmZ3ZhcmYL7jsgs1UnAYhdg2lp7qRM+fkCPnhfWWtbjsKspN7JZrwzbGtJSknlBGZ6JmdkVm5e6D2TImFaRqKRXNVxOp2oqKhAa2srVq1ahVWrVoHxu4sLggCGYSjAjDGjzHtcskHAdQMduDivA+Ygn02NIBurVoIluRmR5sKaOmXb/GGRHfvaTMjQsHcwnsyczWHTFwb06yegoYEJeBCmpQuwtTGSHjreayKmDaiDyVaAKTIzuhYU8qg+zfoMVZq3MLBymN9fQM1Z9wkyeIiAY0d8T5YUi3v4S1aWgHD9MsHWcky3ChhRzmPbN+G7loaqlMxET8Nwks0dWHiJvF4tJXOLcvMAT7VG7lDsYLS+ur3nYs6/OHAfhVrTM1RP5fSZnKT5o2oosXAosXB4rzuZ1Zj0aC54FzvZfahxUU/3Ez0rHcaHzNKsJCmTx8WXuWTPxRcT7N6Y0u8cjM4stLVGdrTlfDpVpfm3F1/mwroPxTM8RwMbpFFNbIhsuGfTjFkcDvolL5w4mcPO7Ym7Gofkmt3TTz+NVatWobS0FJdccgny8vJgjLsxEH3DmPQu7GyR3oPpCdSyEiSoyotgzc4sk4CZ2dFLpKN3efkCrrnehe1bWTQ0BN7e09LcAaYU3msiGswuXDg3sOKdlSX/HBQLWrwf2MF6SectcH9/uHU7Bw12l9s7uGYYYEF34LDtm/BlLCgUeh5KaWkRDJGV+YSdNoMDFGRK1atoJL/wfEca06F4G9k57nU6Bw8W3FmRVdJ/QOzu0elK5ih6z4XubqRMTRNgtyk/kAsvdaG+lsHOHdpUzC7N7YDdxWBXqxkDVFr/OTu7d3kdPZFSoqnT9JGVNpb8kzCVjeBx6KB4RJEhM4OqWmtJDhos4OiRwCOaktMEU0tm0ADTs/RUOJ6s0FLuwZHepS6/ygVBEBnhEeVLKFjiJrmjdvLyeVitCMiOz7K9jeaJSHKE+OGHH2L48OF47733YI73HMoJLk2HvY1aCLdW25RMChTDyc4W0NoKpPQ/i7bTA2V/fkQ5j8YGBv1ypJ9zoYLIAQOlVei8WxDFToNgt6i0CNbmizS4SUsDLpjBKV7QGwCk9RX3ypFxXNTgydKrd6GW0Bg7joPDwWDItp0Axin+jmHD42Nf+AtW1UmJMJ6bfJ772p6/gAMfwa5JS3M30uz/TkBHh/o1TiMLfK/AgYW5HcgOMbxZqjnzXUhPB95fqb9KZLjRTtOmcxhYEJ/nsZYKi8QDzKuvdakWA111tQvvr5LeiVM+0nepG4/krFYMyRNQG6QhdVCKO8Bc0C90g9rUCzhUnWQQZGacqjyBZag1h5WQ+wwP1rNskdkoEOx3mM1AyVAB1QmaP1Xy2dvW1obLL7+cgss4YA4xV8Z7WOmAJA5nOyXWGvTX+BpyHcgnRrTosci6MW+hC2erGYwY6T5XttacDhlgehK5+N+gc/oBV14dvoXbM7xo8bUugAG21Sort9gDQqyV0eTXG5+bx6O+jkV+/9hUljzlHjAwOt8/f6ELp06xUV1P7ZLLXTB3B24mk4CuLvWvQM/QK7FkTXJ41kK97Ar3+djc1FvW7BwAEGDZLr+BSmrCI6sVaG6WflsNls0Q6F5nNOLRq73bV3N5Ju/f57kGDMbg6/+FYvIL9jIyBXTUMBg0mMepk+4df/lV6s2lVCO4BKAow7JuqHwJp6UJsNkY3a9pqZRaQ/iB4OsBBxX0WIVeGoXpeVdoKSnA8BHaHzfvET4M4x75wHPuUkYr0ZmH95rZ3j2NwZajMlraUVKUDEuqgN07ewvrfqb0mjiJQ2Mjg/4DBDTUu39bv9ze/04UkgPMkpIS1NfXa1kWEqHL8hz4sC7FZ4hotl+GTItX7+bdxTY4g8wD8lee1vvgLkvtQgfP4KRDv0OkY5FdLZ5kZMgbyjNmLA+jASiSOTTk8qtcMLC9D0u5GUeLBvGoOtX7ofx8AaerelOmA/KGGCl5PKZ293oWFATvXR00mA+57ZRkBV8swn/3sSzAixTLmgGMHhPduWTeD+OFl3JwiQQ9RYN4NDYoryV4ZmUUFCqv6Eyc1HtPTO5O2qHG0NtQyxv4mzGbQ3MTI3ntylANI7PnaDuE8d6SNtR1Rl5zTo1gaDgAXLmI8xnO7umF7j+gd4Hz6DSoJGZwJEbtx2jhIAEH9zMYMVL+vcnqP76wDxg/kQMX4raSmQmEW5WVNYW+L42xdqGiMRmjVZxjLec6TE7uHYkwe44L6X6jjK6+hsOK5fqqa+b0E399wOR9GNN/IgQe6HJyOHWKRVsrEzAya8hQAUOGeu4jgs//JRLJT40f/vCHqKiowPHjx7UsD4nA7Bwn/lTeAgMDLMx1D3e4tbAdpiBPCRMrrbV6UoYTBgZ4fEQLpmQ6cVtR37vR93Vms3seitzF3JOS5LXE+gcO503lseia3gfk4CECLr/KJXu9wX7dD4QUBT1fFgtw1WIXhg4T/+yia1yYPMX3AeLf26Iav2vZZ3kOHTWqJCX1BubeIh1elZfv3q8FRcqDZ7G17MJlAFRbUlLooNFfUQS/V4pQp05+Eo8xVoU9g14b1jILbs/X6ega8LfgEhcumps42WozlMzJ7T7llS23pOBDKsjNi13Sp6GlQtBew4svc/ncQ4IN+w93TQxM5vGn8hYMSFbvd8q51oeX9X5vv35AkkqNsZHoP4DH4uuUX6sMC4wYKfQ0iIY8BN1/TMD4UnoPZn5+PmbOnInrr78et956K0aNGhV0mZLzzjtPtQISZebkdGJmdifMrHv899X9HRhvVTYn8YaBDgDuIanXDnAE/D3N0Hey7hFpMrMEn2GHUlgzhID1DBnGd1gMw/TOizAnCXB2MhCEwIeoz78Z9/yUwkHdE+0VCJXPTGzYjlZ1oQFJvr1VGRkMmpviqAU0wh1jzZDXUyhVpEPbtA4c1A6cCot4nK7q/dFpTOB9PZ7MmMWh1a8r52eDbUjRUT6CaMxdi5Reh+llZQtAjJamnnq+Puo3LCsgxcLAbgMMBiFg5A7DAIOLeZw8ob+5vv4YRoAgRP88k/qNZrM699z8fAFN55iekTLhyuR/X453kgPMW265BQzDQBAEPPfccwFLlHg7cOCAKoUjyjEMYGZ6/3talvzgMt/ModYZvstqiIWyzBFfF87hRIduhjJ/obzz6KK5HOrrGNEHQelwAYcOCXB1MSgfyYNhoTi41JPx1i6sDJP1Vor8pL57zaqdOAIInGOjNjWWMfA2dZpvRcYUdrGeyKn9G3Lz3MPl09IFZGUB+f19/16s0XMp3dKqyXY9zNY2AIE10mhUyseM5fBZhVe1MMTXFSRzaLGxmBcmOYw3Y/eIKbnzCy2W2AWYeuhRA4BFizmkpJqxb29Xz0gOf4ZgNXqdtRmkWxHQIKQHkyZz2LHdgLHj1WlUGDmKR8lQHimWEG/yOjYlQ/togHnXXXeFDCpJ4rmr2IYOCXM05Wa2JInPYNB+Qr4nm6QYoxG4SkLyoXiTHGqfyrg931sSm9qa3p8gg4ulVyw8ySfEhtyqLVQLeKSmnM+h3842/GSQ9Dn5Ug0sEHDkkHubalcfhpQIGDDAFbrypgGjIXxv9SWXufDRh/LmjQ0s4HGmmkV6QQ2AIQF/Zw0A51I3kYw//5EaodZcvWFgO/a0mjHVL1v7pXkOrG80QGwG1rDhAhiWw9BSqjPIxbAAyzIoDTJVAwBycwVUHo1ioRRKSRHQ2qK/p0FxiYDiEvVGozAswt6fcrLdgeXwETzau2efZYZI6hZPJN8Bly5dGvY9PM9jw4YNERWI6EeyAUgOMsQoP4nHyfgeVUWI6oaW8jh2lA2c06fRszQzCzh5QtOvUFnsH5zBSiB36O2YsTz27DJovjblosXaDL8dNYZDRwfjXiR+JzA0Vf0GmZwcAUci+LwnG/GU8wPLxjDhK2/RIDYdQM4yBvn9/Ro1glzIgwYLOH6MwbgJDBpkllEq/zM51KiPFANwvsjIqAtznGjI2QdgasDfWAMwvCz29wAx3g0gF85x4fMNwavHeunV9FdYJOCbLYGv6+3ZMHY8j4pPGPAcIzpXX48GFmiznAjDAhMmue8Bycnu+Z+jx+pjWHakVEnNVF1djXfffRcrV65EQ0MD9u/fr8ZmiY6l07xLopKLL3NpMmwxFjy9WaYoLQ+Sl88AEJCby+uvFiGmu4zZUV6f04fg3meRKikR0OHgMaJc/Xuh9zIvQYe9yZRjrUNja17Pv0eUC9A64PeUPS9f2T4qH8ljmE4DEo/iITx2NykfriE1C7YnyU2o+eBq08ugtVDr1qrFu2c4px9w6RXBG3aSVR7urSazWYDT6Xvgonm/9SxJForVClx4EYet3xiinmBNqcwQ63erxWAAps9MnLq14sEWHMdh/fr1uP322zF//ny88MILqK+vx7Rp09QsHyEkwaWmuoe7kshIrQuWWmKXyTIzE0hOETB6bOyGL6u1Bh9rAEaP5eWvVyfBgkvc+2fkaPX2U7/MOtW2FS166KEMZ8gQwd37rfC88gQ2idLIpoVRo6Nf6U5JCZENVSeBt5g0kWRSRiOw4OLo3PeDNUoU+mXCzsoGFl7CSWo8GDOWw5CSyM+BdBXX+CXhyW4Lq6qqwvLly7Fq1So0NjYCALKysnDDDTfg2muvRUFBgeqF9Ld8+XK8/PLLOHv2LIYNG4Zf//rXYQPbZ599FsuWLQt4/aWXXsKsWbO0KiohhKhqSvlmbD0wHQCQkel+raRU+pyWWGbWNJmAy66I7dzY9DhI9pScrE22XADu3u4osaS4z7V+/RK/Ylc6TMDRw+GvwbkLXOA5YP93LGprWHeGVB/i+8pTEY9mD6YeaHUdJKoLZnBY837gSeJ/3xvHHsfQvHzVvz9YAqJIuJdqiXy7Sax7G/7D0lk28e9PsSDpVuVyufDJJ59g+fLl+Oabb8DzPEwmE+bPn4/169dj7ty5uOeee7QuKwBgzZo1+P3vf4+7774bkyZNwsqVK/GTn/wE7733HoYPHx7ys+np6Xj55Zd9Xhs6dKiWxSWEEM2kpDA9FbD9YQLMnw224fmTaViQKz3rYyJSO5tpvGAC/kN71gz3+o99YYRCksS1bz1r+PovRm+1AmfPAAaz+IL3I0byMJsFlJSacFqj5chNfSx4TURJSUDRIB5Vp1gMLAjemDTZeAxlWdmqf//AgfKDNZNZQJdT+xtTsG8IlTipB8WgsoW8nZw4cQLLly/H6tWr0dTUBEEQMGrUKCxevBiXX345MjIyMGLEiGiVFYC7J3LRokW46667AABTpkzBgQMH8OKLL+Kpp54K+VmDwYDx48dHoZQkWq7u78Cqmiis4E1InCu2cPhTuQ5zw5OoSDa7s7IVDYpuTSke1n+MiEoLpY8czSO/P4/jvF307wYDMKxMAMtqUxGfdB4nKzlRvBuUX4lTtSWxLoYmppzPY0r3+p1bVVjWShYFp+e8+Ryam2M37jjUXON0q4C2Vh2PidaxkAHmxRdfDIZhkJOTgyVLlmDx4sUYNmxYtMoWoKqqCidOnMBvf/vbntdYlsXChQvx+uuvx6xcfZLX9RbLRADTspwUYKrEkwF1wMDEmWROCHEzm5xYfJ1LN4lbiC+WBXLzgOPRDgi6FQ/xDZEvnJPYQ1P7Z5/FebMHYcVy6raNBkuI+dSWVMCSGv0uQqNRgMvFIDXIcmdA79B0um/KFzbJD8MwmDVrFhYuXBjT4BIAKisrAQAlJb6tTkOHDkVzczPOnTsX8vNtbW2YOnUqRo0ahUWLFmH9+vWalTXRDezDC7UnKqb7btAvl8aCqKX/gOgF66EeksSdKGLi5L5934q3SlJcJb6Jp7JKkNMv1iUg8cgYJKFyWrr+LhDPElOh5jWffwGHMeM40eRJJLSQTTf33HMP3nvvPaxcuRKrVq3CkCFDcPXVV+Oqq65CXl5eqI9qoqXFPbzL6rc4U0ZGRs/fs7PFx5QPGjQIv/71r1FeXg673Y533nkHS5cuxbPPPosFCxbIKkdOjv4mlDQBSE2N3uSiFGdv24TRYPD5bruBjWpZlg53wsFF9/frjdzfbvF7v8HAwmQyABBgNhthSQ2fYNpgYAO2E+p1Oe+Rsg21PhvJd/lvx5xkBCDAaDTAkmrCRfMEOBxAalr47RskXjeGDt9j4yl7/4ECAB4Zmb7HV+p2vUm5hg0d0vebGueE/M/0BpOW1CSMnyRr0yH3m5zf7r9NNc61UNsLVu5QZVZyjsjZftjPBvwO97EzJ/nei6TuP6m/R8mzyhhw/ZnBsgxMZh6eKNNdRs7rvwPl9+dRdUpATq4JltTeyF/Na0XOcfVsz5oRvNxy7lFix1Pe+cGBYXo/E+675R7L3jLKL5sguO+10j7nex8KW64wx1bsepf6LL3uewLefYvveV3q/pJ2bbt/Z3qG+PuSkvyvj8gEK3+o8yDJ5b52WZaFJdUEg9FdJv/7jDdLqndjS+hzRct6jd1uQ25ufEW5IQPMO++8E3feeSc2bdqEd999Fxs2bMBf/vIX/PWvf8X06dOxaNGiiAvQ1taGurrw6dMjTcZz1VVX+fx7zpw5uPHGG/Hcc8/JDjAbG23gef21xtjtnVH7rs5OIwB3lgIXx/l8N8fxUS1LkQGAAbCLT11JeKmpSTL2t3uF6Ha/93Mcj64uDgALp9OFdnv485vj+IDthHpdznukbEOtz0byXf7bMRldAAxItfTuQwMLtEs4N80SrxsOvr2inrK7q6hGDBnCod3eO7xN6nZ9vkPCZzhI329qnBPyP9P7eFNyfEPtNzm/3edzKp1rgLuSI7a9YOUOVWYl54ic7Yf9bMDvcB87lvG9F0ndf5KvJSXXRsD15wTLojtINHS/1gnPbwhW3kGD3Us1pFp87w/hfmOw4y5G2n7wfSbMX+j5XYFDZOXco7zLN/NCBqkWQXSbwSy81N2z5PlMuO+Weyx7yxj6OIlx96xL/Zy8+1CoY2tJTRJ9dst7lhp7Xpe6v6Rd26H3h7PT//qITND7XIjf1dnhrre694kLqRZ3mVimS9IzOtxv1LJeAwD19W2KP6sFlmVCdrhJGnw+c+ZMzJw5E42NjVixYgXeffddbNy4EZs2bQLDMDhw4AD27duH0aNHyy7gunXr8NBDD4V936FDh3p6Ktva2nx6MT09m56/S8EwDObPn4+nnnoKHMfBYFC+UDIhhABAfn8BF811QYPkfGGZzZTSnySWjAz9NeQGM2CAgNFjOAwqllZmhnFnju0L8vLkH8doZR6edaELBpnTMONtqLkeFA4SsGO7O2OsXowoF9Avz4Xc3FiXJDHJuqxycnLw4x//GD/+8Y+xZcsWvPPOO6ioqMC+fftw3XXXoaysDNdddx1uuukmydu87rrrcN1110l6r2fuZWVlpc96m5WVlcjMzAw6PDYYhmHA0J1CEe+9NjXTGbNyEKI32Tnaf8eFczyVImoYC2fqtL497zKe6acqGpznWcgwQFl5b4nnzHfBGYWlFyI1YtC3GDCsPNbFiJnc6M/26pOMRmD+xS4kJ8e6JL0YFhRcaij8RKsgpk2bhr/+9a/44osv8Otf/xqDBw/GwYMH8eijj6pZPh9FRUUoLi7GunXrel7jeR7r1q3DzJkzZW1LEASsX78eI0aMoN7LCIxI60JpKlXg4sXtRXYML/ou1sUgEcrp17ueHhGXkemu7KdR8iMSA1lZQL4Gi86rzZraGpVGsUSUnKz/46snVmvg+q8kcUWcnzk7Oxu33347br/9dnzzzTd499131ShXUEuXLsWvf/1rFBQUYOLEiVi9ejVOnjyJv/zlLz3v2bp1K5YsWYJXX30VU6ZMAQDcfPPNWLBgAUpKSuBwOLB8+XLs2bMHzz33nKblJURPytJc+BbNon/zLK9GnfokEQwYIKClmUGSjlrMCSGJIXvEUUwZWhzrYhAZBia7O0NKSqlhIBpUXQBo6tSpmDp1qpqbDHD55Zejvb0dL730Ep5//nkMGzYM//znPzF8+PCe9wiCAI7jujN9uQ0aNAivvfYa6uvrwbIsRo4ciX/+85+YPXu2puUlJF6MGMmD54GSoXTzJfFv5GgeQ4fxuhqSRaQZUsLjeCWLuBhcRA1yfVJq3jmkphbHuhhEhnSjgCnlm1FQoG2cQtzicoXZ66+/Htdff33Qv0+dOhWHDh3yee2xxx7Tulh9yvBUF8amO3FpXkesi0JUYjIB4yZEb91GQrTEMKDgMk5NmMhj9Bg+5Pp0hBD9SE0VYLdTawvpRbdvooiRBW4udMS6GIQQQhIMwwLmvrusMSFxZ858Dk7K90i8UIBJCCGEEEIIUcRspgQ+xBcFmIQQQgghhCS4cRM499SBHbEuCUl0FGASQgghhBCS4EqHdSfxowBTtvz+PDiO5plKRQEmIYQQQohEAwt4nKl2LyNOyzoR0jfMmEVJEOVgY10AQgghhJB4MW06VTQJISQUCjAJIYQQQgghhKiCAkxCCCGEEEIIIaqgAJMQQgghhBBCiCoowCSEEEIIIYQQogoKMAkhhBBCZJhyPod+uUKsi0EIIbpEy5QQQgghhMhQNEhA0SAu1sUgOmexCGhvp7VsSN9DPZiEEEIIIYQQQlRBASYhhBBCCCEqy8qmYdSkb6IAkxBCCCGEEJUlJce6BITEBgWYhBBCCCGEEEJUQQEmIYQQQgghKhsyhI91EQiJCQowCSGEEEIIUVlKivv/zUk0F5P0LRRgEkIIIYQQorbuFUqMtCgg6WPolCeEEEIIIURlSUnA2HEcBhZQDybpWyjAJIQQQgghRAPDyii4JH0PDZElhBBCCCGEEKIKCjAJIYQQQgghhKiCAkxCCCGEEEIIIaqgAJMQQgghhBBCiCooyY8CLMvEuggBjNZ0sJbUWBcDAGDOyYEpTR9l6QsMFjNMjPRLOQNZSDNbfF7LTskMeC2cYJ+Rsq1w71FSHqWfjeS71NyOJTNb0nXjffySTWawZoMq2/Um5RoWO4+CUeOcUOszUoXab3J+uzc1y5tsMotuL1i5Q5VZyTkiZ/vhSN0vUt8n9fcoeVZF8julCPcbgx13MVL2g5zfo+QepZZw3y33WEZaRq3uPaG2K3a/V/oslXPNa33OKxGs/OHOAy1/i5b1GhaC7mKPcOVhBEGg9FaEEEIIIYQQQiJGQ2QJIYQQQgghhKiCAkxCCCGEEEIIIaqgAJMQQgghhBBCiCoowCSEEEIIIYQQogoKMAkhhBBCCCGEqIICTEIIIYQQQgghqqAAkxBCCCGEEEKIKijAJIQQQgghhBCiCgowCSGEEEIIIYSoggJMQgghhBBCCCGqoAAzjh09ehS33XYbxo0bhxkzZuBvf/sbOI6LdbGIyk6ePInf/e53uOKKK1BeXo5bbrkl4D2CIOCFF17A7NmzMXbsWNx00004cOBADEpL1PLRRx/hpz/9KWbOnIkJEyZg8eLFWLNmTcD7li9fjgULFmDMmDFYvHgxtmzZEoPSEjWtW7cON954I6ZOnYoxY8Zg4cKFeP755+F0OnveQ9d831BbW4sJEyagrKwMdru953U6/oln5cqVKCsrC/jfW2+91fMeOu6Jy+Vy4cUXX8SCBQswevRozJo1C4899pjPe+Lp+FOAGadaWlqwZMkSMAyD559/HnfddRf+/e9/4+9//3usi0ZUduTIEXzxxRcYMmQIiouLRd/z4osv4vnnn8cdd9yBF154ARaLBUuWLEF9fX10C0tU8+qrryI1NRUPPPAAnn/+eUydOhX33nsvXn/99Z73rFmzBr///e9x1VVX4aWXXkJpaSl+8pOf4PDhwzEsOYlUc3Mzpk6dikcffRQvvfQSrrnmGrzwwgt44oknet5D13zf8Kc//QkWiyXgdTr+ieu1117DO++80/O/BQsW9PyNjnviuv/++/Gf//wHP/zhD/HKK6/g3nvvRXJyss974ur4CyQuvfDCC8LkyZOFtra2ntdefPFFYezYsT6vkfjHcVzPfy9dulS4+eabff7e0dEhTJw4UXj22Wd7XrPb7cLUqVOFp59+OmrlJOpqbGwMeO2Xv/ylcNFFF/X8e8GCBcL999/f82+O44TLL79cuPfee6NSRhI9Tz/9tDBp0iSB53m65vuIrVu3Cuedd57w8ssvC8OHDxdsNpsgCHTPT1QrVqzwOc7+6Lgnri+++EIYOXKkcOTIkaDvibfjTz2YcWrjxo2YMWMG0tLSel677LLL0NHRga1bt8awZERtLBv6Mt25cydsNhsuueSSntcsFgsuuugibNq0SeviEY1kZ2cHvFZeXo66ujoAQFVVFU6cOOFz3FmWxcKFC+m4J6DMzEx0dXUBoGu+L+A4Do888gh+9rOfISsry+dvdPz7JjruiWvFihU4//zzUVpaGvQ98Xb8KcCMU5WVlSgpKfF5beDAgUhJSUFlZWWMSkViobKyEgaDIWD47NChQ+lcSDC7d+/GkCFDAKDn2PrfB4YOHYrm5macO3cu6uUj6uI4Dg6HA9u3b8frr7+O733ve2AYhq75PuDtt9+G0+nETTfdFPA3Ov6Jbf78+Rg5ciQWLlyIt99+u+d1Ou6Ja+/evSguLsbDDz+MiRMnYty4cbj77rtRW1vb8554O/7GWBeAKNPa2or09PSA161WK1pbW2NQIhIrra2tsFgsMBgMPq9nZGTA4XDA6XTCbDbHqHRELVu2bMGnn37aM+m/paUFgPua95aRkdHzd7FeUBI/xo8f35PYZ9GiRbjvvvsA0DWf6JqamvC3v/0Nf/7zn2EymQL+Tsc/MeXm5uKee+7B2LFjwXEc1q5di9///vfo6OjAkiVL6LgnsPr6eqxcuRIjRozAM888A7vdjj//+c+4++67sXz5cjAME3fHnwJMQgjRudOnT+Pee+/F3LlzsXjx4lgXh0TJ22+/DYfDgW+//RbPPfccHn74YfzhD3+IdbGIxp555hmMGzcOs2fPjnVRSBTNnDkTM2fO7Pn37Nmz0dnZiX/84x+49dZbY1gyEi3PP/98z5D43Nxc3Hzzzfj6668xbdq0GJdMPgow45TVaoXNZgt4vbW1NaBHgyQ2q9WK9vZ2cBzn07LV0tKClJQUXbVoEfmam5txxx13YODAgXjqqad6Xvf0VLa1tflc856eTc/fSfwaNWoUAGDy5MnIysrCb37zG/zwhz+kaz6BHTlyBCtXrsQbb7zRMxrJ4XAAAGw2GwwGAx3/PmThwoX46KOPUF1dTcc9gVmtVhQVFfnMt540aRJMJhOOHj2KadOmxd3xpwAzTpWUlASMuT579iwcDkfAnCyS2EpKSsBxHE6ePOlz7MXm6ZL44nA48NOf/hRdXV345z//iZSUlJ6/eY5tZWUlCgoKel6vrKxEZmYmDY9NMCNHjgTg7s2maz5xnTx5El1dXbjhhhsC/jZr1ixce+21uPzyy+n49xEMw/T8N133iWvo0KHo7OwU/Zsn0WO8HX9K8hOnZs2ahS+//NKnF3Pt2rVITk7GlClTYlgyEm0TJ05EWloa1q1b1/Oaw+HAZ5995jPchsQXl8uFe+65BydOnMDLL7+MnJwcn78XFRWhuLjY57jzPI9169bRcU9AO3fuBAAUFhbSNZ/AJk6ciP/85z8+/7vjjjsAuNfAu/322+n49yEff/wxsrKyUFBQQMc9gV144YU4fPiwT3K+bdu2oaurC2VlZQDir65HPZhx6sYbb8Trr7+OpUuX4o477kBVVRWWLVuGJUuW+CxdQuKfw+HAF198AQCora2FzWbrucHMnj0bKSkp+PGPf4znn38eGRkZKCkpwb///W/wPI9bbrkllkUnEfjjH/+IL774Ar/97W/R3NyM3bt39/xt5MiRMJvNWLp0KX7961/3VD5Wr16NkydP4i9/+UvsCk4idvvtt+OCCy5AaWkpDAYDdu7ciX//+9+49NJLMWjQIACgaz5BZWdnY+rUqT6vVVdXA3APlU5NTQVAxz8RLV26FGPGjEFZWRl4nsfatWuxdu1aPPTQQ2BZFklJSXTcE9QNN9yA119/HXfeeSd+8pOfwG6346mnnsIFF1yAyZMnA0DcHX9GEAQh1oUgyhw9ehQPP/wwdu/eDavVimuvvRZLly4NyDBF4tvp06cxd+5c0b9VVFSgsLAQgiDghRdewFtvvYXm5maMHj0aDz30UM+wOhJ/5syZ01Ox9Oc57gCwfPlyvPTSSzh79iyGDRuG++67Ly4TApBef/3rX/Hpp5+iuroaBoMBRUVFWLx4MW688caerKJ0zfcdK1euxAMPPICdO3f2BJh0/BPP008/jY8//hg1NTUQBAGlpaW49dZbsWjRop730HFPXCdPnsSjjz6Kbdu2wWQyYe7cuXjggQd88inE0/GnAJMQQgghhBBCiCpoDiYhhBBCCCGEEFVQgEkIIYQQQgghRBUUYBJCCCGEEEIIUQUFmIQQQgghhBBCVEEBJiGEEEIIIYQQVVCASQghhBBCCCFEFRRgEkIIIRFauXIlysrKsHLlylgXRZampiZMmTIFf/jDHxR9fv369SgrK8OWLVvULRghhJC4ZYx1AQghhBA9KSsrk/X+xx9/XKOSaO/ZZ59FR0cH7rzzTkWfnz9/PkaNGoXHH38cq1evBstSuzUhhPR1FGASQgghXu6+++6A11577TW0tbXh1ltvhdVq9flbeXk5CgsLMW7cOOTl5UWrmBE7c+YM3nnnHSxevBj5+fmKtsEwDH70ox/hF7/4BT788ENcccUVKpeSEEJIvGEEQRBiXQhCCCFEz+bMmYPq6mpUVFSgsLAw1sVRxTPPPIMXXngBb731FiZOnKh4O52dnZgxYwZKS0vx1ltvqVhCQggh8YjGshBCCCERCjYHc86cOZgzZw7sdjsee+wxzJ49G2PHjsVVV12FTz/9FADgcrnwj3/8AwsWLMCYMWMwb948vPHGG0G/a9OmTbjjjjswdepUjB49GvPmzcOTTz6J1tZWyeUVBAErVqzAgAEDRIPLhoYGPPnkk1i4cCHGjx+PyZMnY+HChbj//vtRVVXl896kpCTMmzcPO3fuxLFjxySXgRBCSGKiIbKEEEKIhrq6uvDDH/4Qzc3NmDt3Lrq6urBmzRosXboUr7zyCv773/9iz549mDVrFsxmM9atW4dHHnkE2dnZuPTSS322tWzZMjz77LPIzMzEhRdeiOzsbBw+fBivvPIKNm7ciHfeeQdpaWlhy3TkyBHU19fjsssuC/ibw+HA9773PZw6dQrTp0/HnDlzIAgCzpw5g4qKCixcuBBFRUU+n5k4cSJWrlyJLVu2YOjQoZHtMEIIIXGNAkxCCCFEQ3V1dRg1ahRef/11mM1mAMBVV12Fm266Cffccw+KioqwZs2anrmdP/jBD3DJJZfgxRdf9Akwv/76azz77LOYMGECXnzxRZ+5oCtXrsQDDzyAv//973jwwQfDlmnHjh0AgNGjRwf8bcuWLTh16hRuu+22gG05nU44nc6Az4wZMwYAsG3bNtx8881hv58QQkjioiGyhBBCiMYefPDBnuASACZPnozCwkK0tLTgV7/6lU+wWFRUhAkTJuDIkSPgOK7n9ddffx0A8MgjjwQkGlq8eDHKy8vxwQcfSCrP2bNnAQC5ublB35OcnBzwmtlsFu0h7devn892CSGE9F3Ug0kIIYRoyGq1YtCgQQGv5+Xl4fTp06K9iPn5+XC5XGhoaOjJ8Lp7926YTCasW7cO69atC/hMV1cXzp07h6amJmRlZYUsU3Nzc0/Z/E2ZMgX5+fl48cUX8d1332H27NmYOHEiysvLYTAYRLeXkZEBwL2uJiGEkL6NAkxCCCFEQ+np6aKvG43GoH/3/K2rq6vntebmZrhcLixbtizk97W3t4cNMJOSkgBAdLhrWloali9fjr///e/YsGEDvvzySwBAVlYWvv/97+POO++EyWTy+UxnZycA8V5PQgghfQsFmIQQQkgcSEtLgyAI2Lp1a8TbysnJAdDbk+mvf//+eOyxxyAIAo4ePYqvv/4ab775Jp577jnwPI+f//znPu/39FxmZ2dHXDZCCCHxjeZgEkIIIXFg/PjxaGlpwZEjRyLeVllZGQCgsrIy5PsYhsGwYcNwyy234N///jcAoKKiIuB9nu2Ul5dHXDZCCCHxjQJMQgghJA4sWbIEAPB///d/qK2tDfh7e3s7du/eLWlbkydPhsFgEH3/kSNH0NDQEPC65zWxYbB79uwBAEydOlXS9xNCCElcNESWEEIIiQPTpk3Dvffei6effhoLFy7ErFmzUFhYiPb2dpw5cwbbtm3DxIkT8a9//SvsttLT0zFt2jR88803aGlp6UnSAwCbN2/Gn//8Z4wfPx7FxcXIyclBTU0NKioqwLIsbr/99oDtbd68GVarFeeff76qv5kQQkj8oQCTEEIIiRM//vGPMXHiRLz++uvYsWMHNmzYgLS0NOTn5+P666/H5ZdfLnlb3/ve9/Dll1/iww8/xPe///2e12fOnImzZ89i27ZtqKiogM1mQ15eHqZPn44lS5Zg4sSJPts5fvw4du/ejVtvvRUpKSmq/VZCCCHxiREEQYh1IQghhBASXRzH4YorroDJZMLq1avBMIyi7TzxxBN444038NFHH6GoqEjlUhJCCIk3NAeTEEII6YMMBgN+85vf4ODBg1i/fr2ibdTV1eGtt97CLbfcQsElIYQQANSDSQghhPRp//nPf5CZmYkrr7xS9md37dqFzZs349Zbb4XVatWgdIQQQuINBZiEEEIIIYQQQlRBQ2QJIYQQQgghhKiCAkxCCCGEEEIIIaqgAJMQQgghhBBCiCoowCSEEEIIIYQQogoKMAkhhBBCCCGEqIICTEIIIYQQQgghqvj/AYpCsy4uR1zlAAAAAElFTkSuQmCC\n", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "malaya_speech.extra.visualization.visualize_vad(y, grouped_vad, sr, figsize = (15, 3))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Speaker Similarity\n", "\n", "Simplest technique, calculate similarity,\n", "\n", "```python\n", "def speaker_similarity(\n", " vad_results,\n", " speaker_vector,\n", " similarity_threshold: float = 0.8,\n", " agg_function: Callable = np.mean,\n", " return_embedding: bool = False,\n", "):\n", " \"\"\"\n", " Speaker diarization using L2-Norm similarity.\n", "\n", " Parameters\n", " ----------\n", " vad_results: List[Tuple[Frame, label]]\n", " results from VAD.\n", " speaker_vector: callable\n", " speaker vector object.\n", " similarity_threshold: float, optional (default=0.8)\n", " if current voice activity sample similar at least 0.8, we assumed it is from the same speaker.\n", "\n", " Returns\n", " -------\n", " result : List[Tuple[Frame, label]]\n", " \"\"\"\n", "```" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[(, 'not a speaker'),\n", " (, 'not a speaker'),\n", " (, 'speaker 0'),\n", " (, 'speaker 0'),\n", " (, 'speaker 0')]" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "result_diarization = malaya_speech.diarization.speaker_similarity(grouped_vad, model,\n", " similarity_threshold = 0.6)\n", "result_diarization[:5]" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [ { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "nrows = 2\n", "fig, ax = plt.subplots(nrows = nrows, ncols = 1)\n", "fig.set_figwidth(20)\n", "fig.set_figheight(nrows * 3)\n", "malaya_speech.extra.visualization.visualize_vad(y, grouped_vad, sr, ax = ax[0])\n", "malaya_speech.extra.visualization.plot_classification(result_diarization, \n", " 'diarization using speaker similarity', ax = ax[1],\n", " x_text = 0.01)\n", "fig.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Problem with speaker similarity, speaker vector models are not really consistent, definition of similarity is ambigious among models, 90% similarity from model A might not be same as model B." ] } ], "metadata": { "kernelspec": { "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.10" }, "varInspector": { "cols": { "lenName": 16, "lenType": 16, "lenVar": 40 }, "kernels_config": { "python": { "delete_cmd_postfix": "", "delete_cmd_prefix": "del ", "library": "var_list.py", "varRefreshCmd": "print(var_dic_list())" }, "r": { "delete_cmd_postfix": ") ", "delete_cmd_prefix": "rm(", "library": "var_list.r", "varRefreshCmd": "cat(var_dic_list()) " } }, "types_to_exclude": [ "module", "function", "builtin_function_or_method", "instance", "_Feature" ], "window_display": false } }, "nbformat": 4, "nbformat_minor": 4 }