{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Force Alignment using Transducer PyTorch\n", "\n", "Forced alignment is a technique to take an orthographic transcription of an audio file and generate a time-aligned version." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This tutorial is available as an IPython notebook at [malaya-speech/example/force-alignment-transducer-pt](https://github.com/huseinzol05/malaya-speech/tree/master/example/force-alignment-transducer-pt).\n", " \n", "
" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "
\n", "\n", "This module is not language independent, so it not save to use on different languages. Pretrained models trained on hyperlocal languages.\n", " \n", "
" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "`pyaudio` is not available, `malaya_speech.streaming.pyaudio` is not able to use.\n" ] } ], "source": [ "import malaya_speech\n", "import numpy as np\n", "from malaya_speech import Pipeline\n", "import IPython.display as ipd\n", "import matplotlib.pyplot as plt\n", "from malaya_speech.utils.aligner import plot_alignments" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### List available Force Aligner model" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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Size (MB)malay-malayamalay-fleur102Languagesinglish
mesolitica/conformer-tiny38.5{'WER': 0.17341180814, 'CER': 0.05957485024}{'WER': 0.19524478979, 'CER': 0.0830808938}[malay]NaN
mesolitica/conformer-base121{'WER': 0.122076123261, 'CER': 0.03879606324}{'WER': 0.1326737206665, 'CER': 0.05032914857}[malay]NaN
mesolitica/conformer-medium243{'WER': 0.1054817492564, 'CER': 0.0313518992842}{'WER': 0.1172708897486, 'CER': 0.0431050488}[malay]NaN
mesolitica/emformer-base162{'WER': 0.175762423786, 'CER': 0.06233919000537}{'WER': 0.18303839134, 'CER': 0.0773853362}[malay]NaN
mesolitica/conformer-base-singlish121NaNNaN[singlish]{'WER': 0.06517537334361, 'CER': 0.03265430876}
mesolitica/conformer-medium-mixed243{'WER': 0.111166517935, 'CER': 0.03410958328}{'WER': 0.108354748, 'CER': 0.037785722}[malay, singlish]{'WER': 0.091969755225, 'CER': 0.044627194623}
\n", "
" ], "text/plain": [ " Size (MB) \\\n", "mesolitica/conformer-tiny 38.5 \n", "mesolitica/conformer-base 121 \n", "mesolitica/conformer-medium 243 \n", "mesolitica/emformer-base 162 \n", "mesolitica/conformer-base-singlish 121 \n", "mesolitica/conformer-medium-mixed 243 \n", "\n", " malay-malaya \\\n", "mesolitica/conformer-tiny {'WER': 0.17341180814, 'CER': 0.05957485024} \n", "mesolitica/conformer-base {'WER': 0.122076123261, 'CER': 0.03879606324} \n", "mesolitica/conformer-medium {'WER': 0.1054817492564, 'CER': 0.0313518992842} \n", "mesolitica/emformer-base {'WER': 0.175762423786, 'CER': 0.06233919000537} \n", "mesolitica/conformer-base-singlish NaN \n", "mesolitica/conformer-medium-mixed {'WER': 0.111166517935, 'CER': 0.03410958328} \n", "\n", " malay-fleur102 \\\n", "mesolitica/conformer-tiny {'WER': 0.19524478979, 'CER': 0.0830808938} \n", "mesolitica/conformer-base {'WER': 0.1326737206665, 'CER': 0.05032914857} \n", "mesolitica/conformer-medium {'WER': 0.1172708897486, 'CER': 0.0431050488} \n", "mesolitica/emformer-base {'WER': 0.18303839134, 'CER': 0.0773853362} \n", "mesolitica/conformer-base-singlish NaN \n", "mesolitica/conformer-medium-mixed {'WER': 0.108354748, 'CER': 0.037785722} \n", "\n", " Language \\\n", "mesolitica/conformer-tiny [malay] \n", "mesolitica/conformer-base [malay] \n", "mesolitica/conformer-medium [malay] \n", "mesolitica/emformer-base [malay] \n", "mesolitica/conformer-base-singlish [singlish] \n", "mesolitica/conformer-medium-mixed [malay, singlish] \n", "\n", " singlish \n", "mesolitica/conformer-tiny NaN \n", "mesolitica/conformer-base NaN \n", "mesolitica/conformer-medium NaN \n", "mesolitica/emformer-base NaN \n", "mesolitica/conformer-base-singlish {'WER': 0.06517537334361, 'CER': 0.03265430876} \n", "mesolitica/conformer-medium-mixed {'WER': 0.091969755225, 'CER': 0.044627194623} " ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "malaya_speech.force_alignment.transducer.available_pt_transformer()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load Transducer Aligner model\n", "\n", "```python\n", "def pt_transformer(\n", " model: str = 'mesolitica/conformer-base',\n", " **kwargs,\n", "):\n", " \"\"\"\n", " Load Encoder-Transducer ASR model using Pytorch.\n", "\n", " Parameters\n", " ----------\n", " model : str, optional (default='mesolitica/conformer-base')\n", " Check available models at `malaya_speech.force_alignment.transducer.available_pt_transformer()`.\n", "\n", " Returns\n", " -------\n", " result : malaya_speech.torch_model.torchaudio.ForceAlignment class\n", " \"\"\"\n", "```" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "model = malaya_speech.force_alignment.transducer.pt_transformer(model = 'mesolitica/conformer-medium-mixed')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Load sample" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Malay samples" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "malay1, sr = malaya_speech.load('speech/example-speaker/shafiqah-idayu.wav')\n", "malay2, sr = malaya_speech.load('speech/example-speaker/haqkiem.wav')" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "texts = ['nama saya shafiqah idayu',\n", " 'sebagai pembangkang yang matang dan sejahtera pas akan menghadapi pilihan raya umum dan tidak menumbang kerajaan dari pintu belakang']" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ipd.Audio(malay2, rate = sr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Singlish samples" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'221931702.WAV': 'wantan mee is a traditional local cuisine',\n", " '221931818.WAV': 'ahmad khan adelene wee chin suan and robert ibbetson',\n", " '221931727.WAV': 'saravanan gopinathan george yeo yong boon and tay kheng soon'}" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "import json\n", "import os\n", "from glob import glob\n", "\n", "with open('speech/imda/output.json') as fopen:\n", " data = json.load(fopen)\n", " \n", "data" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "['speech/imda/221931727.WAV',\n", " 'speech/imda/221931818.WAV',\n", " 'speech/imda/221931702.WAV']" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "wavs = glob('speech/imda/*.WAV')\n", "wavs" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [], "source": [ "y, sr = malaya_speech.load(wavs[0])" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "ipd.Audio(y, rate = sr)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Predict\n", "\n", "```python\n", "def predict(self, input, transcription: str, temperature: float = 1.0):\n", " \"\"\"\n", " Transcribe input, will return a string.\n", "\n", " Parameters\n", " ----------\n", " input: np.array\n", " np.array or malaya_speech.model.frame.Frame.\n", " transcription: str\n", " transcription of input audio\n", " temperature: float, optional (default=1.0)\n", " temperature for logits.\n", "\n", " Returns\n", " -------\n", " result: Dict[words_alignment, subwords_alignment, subwords, alignment]\n", " \"\"\"\n", "```" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Predict Malay\n", "\n", "Our original text is: 'sebagai pembangkang yang matang dan sejahtera pas akan menghadapi pilihan raya umum dan tidak menumbang kerajaan dari pintu belakang'" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "results = model.predict(malay2, texts[1])" ] }, { "cell_type": "code", "execution_count": 12, "metadata": { "scrolled": false }, "outputs": [ { "data": { "text/plain": [ "dict_keys(['words_alignment', 'subwords_alignment', 'subwords', 'alignment'])" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results.keys()" ] }, { "cell_type": "code", "execution_count": 13, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "[{'text': 'sebagai',\n", " 'start': 0.07991686893203884,\n", " 'end': 0.11987530339805826,\n", " 'start_t': 0,\n", " 'end_t': 0,\n", " 'score': 0.8652574},\n", " {'text': 'pembangkang',\n", " 'start': 0.5594180825242718,\n", " 'end': 1.0389192961165048,\n", " 'start_t': 2,\n", " 'end_t': 4,\n", " 'score': 2.2811141e-06},\n", " {'text': 'yang',\n", " 'start': 1.158794599514563,\n", " 'end': 1.1987530339805823,\n", " 'start_t': 5,\n", " 'end_t': 5,\n", " 'score': 4.3430943e-09},\n", " {'text': 'matang',\n", " 'start': 1.3985452063106798,\n", " 'end': 1.7182126820388348,\n", " 'start_t': 6,\n", " 'end_t': 7,\n", " 'score': 4.1879557e-06},\n", " {'text': 'dan',\n", " 'start': 1.798129550970874,\n", " 'end': 1.8380879854368932,\n", " 'start_t': 7,\n", " 'end_t': 8,\n", " 'score': 1.9011324e-05},\n", " {'text': 'sejahtera',\n", " 'start': 2.0378801577669905,\n", " 'end': 2.477422936893204,\n", " 'start_t': 8,\n", " 'end_t': 10,\n", " 'score': 2.5778693e-06},\n", " {'text': 'pas',\n", " 'start': 2.7970904126213596,\n", " 'end': 2.996882584951457,\n", " 'start_t': 12,\n", " 'end_t': 12,\n", " 'score': 2.9329883e-10},\n", " {'text': 'akan',\n", " 'start': 3.1167578883495146,\n", " 'end': 3.156716322815534,\n", " 'start_t': 13,\n", " 'end_t': 13,\n", " 'score': 1.2522179e-06},\n", " {'text': 'menghadapi',\n", " 'start': 3.396466929611651,\n", " 'end': 3.796051274271845,\n", " 'start_t': 14,\n", " 'end_t': 16,\n", " 'score': 1.6652191e-05},\n", " {'text': 'pilihan',\n", " 'start': 4.035801881067961,\n", " 'end': 4.395427791262136,\n", " 'start_t': 17,\n", " 'end_t': 18,\n", " 'score': 5.8163936e-09},\n", " {'text': 'raya',\n", " 'start': 4.515303094660195,\n", " 'end': 4.555261529126214,\n", " 'start_t': 19,\n", " 'end_t': 19,\n", " 'score': 1.4073122e-09},\n", " {'text': 'umum',\n", " 'start': 4.83497057038835,\n", " 'end': 5.194596480582525,\n", " 'start_t': 20,\n", " 'end_t': 21,\n", " 'score': 9.590183e-08},\n", " {'text': 'dan',\n", " 'start': 5.314471783980583,\n", " 'end': 5.354430218446602,\n", " 'start_t': 22,\n", " 'end_t': 22,\n", " 'score': 0.032095414},\n", " {'text': 'tidak',\n", " 'start': 5.514263956310679,\n", " 'end': 5.554222390776698,\n", " 'start_t': 23,\n", " 'end_t': 23,\n", " 'score': 9.107502e-08},\n", " {'text': 'menumbang',\n", " 'start': 5.833931432038835,\n", " 'end': 6.113640473300971,\n", " 'start_t': 24,\n", " 'end_t': 25,\n", " 'score': 6.4145235e-07},\n", " {'text': 'kerajaan',\n", " 'start': 6.313432645631068,\n", " 'end': 6.353391080097087,\n", " 'start_t': 26,\n", " 'end_t': 26,\n", " 'score': 2.017659e-07},\n", " {'text': 'dari',\n", " 'start': 6.992726031553398,\n", " 'end': 7.032684466019417,\n", " 'start_t': 29,\n", " 'end_t': 29,\n", " 'score': 7.6962095e-07},\n", " {'text': 'pintu',\n", " 'start': 7.312393507281554,\n", " 'end': 7.352351941747573,\n", " 'start_t': 30,\n", " 'end_t': 30,\n", " 'score': 1.0205139e-06},\n", " {'text': 'belakang',\n", " 'start': 7.672019417475729,\n", " 'end': 7.711977851941748,\n", " 'start_t': 32,\n", " 'end_t': 32,\n", " 'score': 2.4569164e-07}]" ] }, "execution_count": 13, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['words_alignment']" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "34" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(results['subwords'])" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "(34, 34)" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['alignment'].shape" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "image/png": 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X0BmrCZ1b6/uM0n/OiP2jgaNHufSj6FRMx+xTVacAp4zSftSI/blr+RiSJEkbwLXR11uSOUlqnO3cHrznB4GnAqdO9rUlSZI0cVNR2VwG7DLO8eWT/YZV9R46t84H2qdvWLze575lx/0mMRJJ0nS3If9mHLaD/2b02iCvjd7zZLOqVvK7YyklSZI0BFofsylJkiRYVT5nU5IkSVonA1PZTHIUcG9VfbztWCRJktZFkVafhdlLg/mpJEmSNC30RbLZPD7p6iSLkvwkyTFJDkyyOMk1SfZtuu6R5Lym7Yjm3M2TnJXk4iSXJzm465pXJflCkiuSnJFkVnNsnySXJVma5J+S/Kiljy5JkobE6tqop1tb+iLZbDwB+ASdlYR2Bl4F7A8cCbyr6bM78MfA04H3JtkO+DXwoqraC3gW8Ikka0bg7gR8tqp2A+6ks2QmwJeAN1TVnnTWRZckSdJ66Kdk87qquryqVgNXAGdVVQGXA3OaPqdU1f1VdStwNrAvEODDzbKX3wG2B7btuubS5vVFwJwkjwC2qKrzmvZjxwooyYIkS5IsWcmKyfqckiRpyAzy2uj9NEGoO5tb3bW/moc+R/Hbis5669sAe1fVyiTXAzNHueYqYNa6BFRVC4GFAFtm9sj3liRJGnr9VNmciIOTzEzyKOAA4EJgK+CWJtF8FrDjeBeoqjuBe5I8tWl6RQ/jlSRJ6sxGr95ubemnyuZEXEbn9vnWwAer6uYkxwDfSHI5sISJrWZ0OPCFJKuB7wJ39SpgSZKkQdYXyWZVXQ/M7dqfP9axUc69lc6EodF0X7P7+ZxXVNXuAEneQSdJlSRJ6hnXRh8uz0/yTjrfzw3A/HbDkSRJ6k8mm6OoquOB49uOQ5IkDYcqWNXiszB7yWSzj71lx/3aDkGSNMVu/cYT1+u8t4w7PVbqHZNNSZKk1oXVtDdjvJcGs14rSZKkacHKpiRJUsuKwR2zOZifSpIkSdOClU1JkqRpoM31y3upbz9VkvlJTk5yZpLrk7w5yd8kuSTJ+UlmN/0en+TbSS5K8v0kOzfti5J8KskPklyb5CVN+wFJvtn1Pp9JMr+VDylJktTn+jbZbMwFXgzsA/wDsLyqngKcB7y26bMQeEtV7Q0cCXyu6/w/APYHXgB8dF3fPMmCJEuSLFnJivX/FJIkaagVYXX1dmtLv99GP7uq7gHuSXIX8I2m/XJg9ySbA88AvpY8+CVv0nX+yVW1Grgyybbr+uZVtZBOMsuWmV3r+RkkSZIGVr8nm93lxNVd+6vpfLaNgDuras8JnL8mG32A3674ztzwMCVJksbnmM0+VFV3A9cleSlAOvZYy2k3ALsm2STJI4A/6XGYkiRJA6vfK5sTcRhwdJJ3AzOA44BLx+pcVTcm+W/gR8B1wCVTEqUkSRpaBawe0Ods9m2yWVWLgEVd+3NGO1ZV1wHPGeX8+SP2N+96/XfA301mvJIkScNo2iabSebQqSyOZXFV7T9F4UiSJPVQWDWga6NP22QTWAbsMs7x5VMViCRJktbPtE02q2olcHXbcUiSNNk+fcPi9T73LTtOYiCaNgZ5zOZgfipJkiRNC9O2silJkjRMBnXMppVNSZIk9czAJJtJ9kzyvK79FyZ5xxh9713LteYk+dFkxyhJkjSaqrC6Nurp1paBSTaBPYEHk82qOrWqPtpeOJIkSRqIMZtJHg58AJiVZH/gI8AsYF5VvTnJY4Fjgc2BU7rOW7P/SDqrC727qk4Zce3HAScCC6rqwqn4PJIkafiscjb69FVVvwHeCxxfVXtW1fEjunwSOLqqngz8vKv918CLqmov4FnAJ5I8ODo3yZPoJJrzR0s0kyxIsiTJkpWsmORPJUmS1P8GorI5AfsBhzavvwJ8rHkd4MNJngmsBrYHtm2ObUOn6vniqrpytItW1UJgIcCWmV29CV2SJA26AlY7G73vjZYMHkYnqdy7qvYEfgnMbI7dBfwMcElMSZI0FJI8J8mPk/x0tInWSR6T5OwklyS5rHty9lgGqbJ5D7DFGMcWA68AvkonwVxjK+CWqlqZ5FlA97oMvwFeBJye5N6qOrYHMUuSJAFpfcxmko2BzwLPBm4CLkxy6og7vO8G/ruqjk6yK3AaMGe86w5SZfNsYNckS5O8fMSxvwLelORyOrfK1zgGmNe0v5YRy2NW1X3AC4C/TvLC3oUuSZKGWWe5yvR0m4B9gZ9W1bXNfJjjgINHCXXL5vVWwM1ru+jAVDar6nZgnxHNi5pj1wFP72p/d9N+64j2bnObPneOcl1JkqR+s3WSJV37C5v5J2tsD9zYtX8T8NQR1zgKOCPJW4DNgAPX9qZ9k2wmmQNcN06XxVXl+EpJktSXVvX+hvOtVTVvA6/xSmBRVX0iydOBrySZW1Wrxzqhb5JNYBmwyzjHl09VIJIkSQNoGbBD1/6jm7ZuhwPPAaiq85LMBLYGbhnron2TbFbVSkaMqZR67bRlF6/Xec/bfq9JjkTSdLO+fz8APG/7/SYxEg2CYsLjKnvpQmCnZjGcZXQmV79qRJ+fAX8CLEqyC52n+PxqvIsO0gQhSZIkraeqegB4M3A6cBWdWedXJPlA10TpvwWOSHIp8F90Fr4Z91njfVPZlCRJGmSrp0ENsKpOo/M4o+6293a9vpLOYjkT1v6nkiRJ0sAaumQzyTlJNnQmliRJ0qSpglWVnm5tGbpkU5IkSVNn4MdsJpkFfAnYg85s9lldx46m88D2WcAJVfW+pv164MvAnwEzgJdWlTPhJUlSz0yD2eg9MQyVzb8AllfVLsD7gL27jv1983DT3YE/SrJ717Fbq2ov4GjgyNEunGRBkiVJlqxkRY/ClyRJ6l/DkGw+E/gqQFVdBlzWdexlSS4GLgF2A3btOnZS8/MixlhgvqoWVtW8qpo3g00mO25JkjQkOs/Z3KinW1sG/jb6WJoHlh4J7FNVdyRZROfBpGusKVWuYoi/J0mSpA0xDJXN79E8/T7JXDq3zAG2BO4D7kqyLfDcdsKTJEmCVaSnW1uGoWJ3NPClJFfReRr+RQBVdWmSS+hMGroRWNxeiJIkSYNp4JPNqrqfztqeox2bP0b7nK7XS4ADehCaJEkSAIWz0aetJHOS1DjbuW3HKEmSNKwGobK5DNhlnOPLpyoQSZKk9ZNWZ4z3Ut8nm1W1ks64S2nSPW/7vdoOQVKPnX7z0vU676Dt/PtBmoi+TzYlSZIGweoWZ4z30mDWayVJkjQtWNmUJElqWRWscja6JEmStG6sbEqSJE0DgzobfTA/1Xpontd5dZJFSX6S5JgkByZZnOSaJPu2HaMkSVK/sbL5254AvBR4PXAhnTXV9wdeCLwLOKS7c5IFwAKAmWw6lXFKkqQBUsQVhIbEdVV1eVWtBq4AzqqqAi4H5ozsXFULq2peVc2bwSZTHKokSdL0Z2Xzt63oer26a381fleSJKmHfM6mJEmStI6s1kmSJLWsYGDHbJpsNqrqemBu1/78sY5JkiRpYkw2JUmSpoFBfc6myaYkqe+dfvPS9T73oO32nLQ4JP0uk01JkqS2lc/ZlCRJktaZlU1JkqSWFT5nU5IkSVpnVjYlSZKmAcdsSpIkSeto6JLNJHOSXJ1kUZKfJDkmyYFJFie5Jsm+SY5KcmTXOT9KMqfFsCVJ0gBbs4JQL7e2DF2y2XgC8Alg52Z7FbA/cCTwroleJMmCJEuSLFnJip4EKkmS1M+GdczmdVV1OUCSK4CzqqqSXA7MAZZO5CJVtRBYCLBlZldvQpUkScPAMZuDpbsMubprfzWdBPwBfvu7mTlFcUmSJA2UYa1srs31wAsAkuwFPLbVaCRJ0kArXEFo2JwIzG5usb8Z+EnL8UiSJPWloatsVtX1wNyu/fljHPvTqYxLkiQNN1cQkiRJktbR0FU2JUnT02FX37Te5x603Z6TF4jUhnI2uiRJkrTOrGxKkiS1bM0KQoPIyqYkSZJ6xsqmJEnSNGBlU5IkSVpHVjYlSZJa5gpCQybJ/CSf6dr/ZpID2otIkiSpP1nZ3ABJFgALAGayacvRSJKkflZWNjVSVS2sqnlVNW8Gm7QdjiRJ0rRjZXN0D/DbifjMtgKRJEnDwbXRh8v1wJ5JNkqyA7Bvy/FIkiT1JSubo1sMXAdcCVwFXNxuOJIkaZDVAK+NbrI5iqoq4LC245AkSep3Q5lsJplDp3I5lsVVtf8UhSNJkjSws9GHMtkElgG7jHN8+VQFIk0HG2222Xqfu/q++yYxEvW7D1534Xqf+57H7jOJkUiaLoYy2ayqlcDVbcchSZLU4QpCkiRJ0jobysqmJEnSdDOoYzatbEqSJKlnrGxKkiS1rBjc52wOfGUziQm1JElSSwYy2UwyP8mpSf4fcFaSzZOcleTiJJcnObjp94Ekb+s67x+S/NVY/SVJknqiOqsI9XJryyBX/fYCdq+q25vq5ouq6u4kWwPnJzkV+CJwEvCvSTYCXkFnHfRfj9a/WVnoQUkWAAsAZrLp1H0ySZKkPjHIyeaZVXV78zrAh5M8E1gNbA9sW1XXJ7ktyVOAbYFLquq2JDNG6w/8ovsNqmohsBBgy8xu8f8MkiSp361mMMdsDnKy2b2syWHANsDeVbUyyfXAzObYvwPzgd+nU+lcW39JkiRN0CAnm922Am5pEsdnATt2Hfs68AFgBvCqCfSXJEmaVMXgPmdzWJLNY4BvJLkcWELXUpVV9ZskZwN3VtWqtfWXJEnSxA1ksllVi4BFXfu3Ak8frW8zMehpwEsn0l+SJGnyuTb6tJJkTpIaZzt3gtfZFfgpcFZVXdPbqCVJkoZPv1Y2lwG7jHN8+UQuUlVXAo+blIikPrb6vvvW3klD5fSbl67XeQdtt8/kBiINkTafhdlLfZlsVtVKHEcpSZI07fVlsilJkjRoBnU2el+O2ZQkSVJ/sLIpSZLUss765VY2JUmSpHViZVOSJGka8DmbAyrJyUkuSnJFkgVN271J/iHJpUnOT7Jt23FKkiT1o6FPNoHXV9XewDzgrUkeBWwGnF9VewDfA44Y7cQkC5IsSbJkJSumLmJJkjRwOuM2e7e1xWSzk2BeCpwP7ADsBPwG+GZz/CJgzmgnVtXCqppXVfNmsMlUxCpJktRXhnrMZpIDgAOBp1fV8iTnADOBlVUP/h9gFUP+PUmSpN5zNvpg2gq4o0k0dwae1nZAkiRJg2TYK3bfBt6Y5Crgx3RupUuSJE2pIgNb2RzqZLOqVgDPHeXQ5l19TgBOmLKgJEmSBshQJ5uSJEnTRYsTxnvKZFOSBtR//Ozc9T73oO32n8RIJA0zk01JkqS2uTa6JEmStO6sbEqSJE0HAzpo08qmJEmSemYok80kP2h+zknyo+b1vCSfal4fleTINmOUJEnDpSo93doylMlmVT1jlLYlVfXWNuKRJEmaDpI8J8mPk/w0yTvG6POyJFcmuSLJsWu75sAmm0nmJzklyTlJrknyvq5j947S/4Ak3+xq2rU599okJqGSJKmnqnq7rU2SjYHP0lnwZlfglUl2HdFnJ+CdwH5VtRvwtrVdd9AnCO0LzAWWAxcm+VZVLZnguTsDzwK2AH6c5OiqWtndIckCYAHATDadvKglSZKm3r7AT6vqWoAkxwEHA1d29TkC+GxV3QFQVbes7aIDW9lsnFlVt1XV/cBJwLo8pfhbVbWiqm4FbgG2HdmhqhZW1byqmjeDTSYpZEmSNGyKKRmzuXWSJV3bghFhbA/c2LV/U9PW7YnAE5MsTnJ+kues7bMNemVzZNF4XR4qsKLr9SoG/7uSJEmD7daqmreB13gYsBNwAPBo4HtJnlxVd451wqBXNp+dZHaSWcAhwOKW45EkSfpdBVR6u63dMmCHrv1HN23dbgJOraqVVXUd8BM6yeeYBj3ZvAA4EbgMOHEdxmtKkiQNmwuBnZI8NsnDgVcAp47oczKdqiZJtqZzW/3a8S466LeGb6qqQ0Y2VtXmzc/r6UwgoqrOAc5pXh81ov/cnkYpSZKG3kRmjPf2/euBJG8GTgc2Br5YVVck+QCwpKpObY79aZIr6Qwz/L9Vddt41+3bZDPJHOC6cboso5N9S5IkaQKq6jTgtBFt7+16XcDfNNuE9G2ySSeZ3GWc48ur6mdTFYwk9cJxN/5gvc99xQ7r8gAOSa0b0LXR+zbZbJ55eXXbcUiSJG24dpeU7KUJJZtJXkznGZUFnFtVX+9pVJIkSRoIa002k3wOeALwX03TG5IcWFVv6mlkkiRJw2SIb6P/MbBLMyCUJF8GruhpVJIkSRoIE3nO5k+Bx3Tt79C0DY0k/z5yIXpJkqRJU1OyXGUrJlLZ3AK4KskFdAq8+wJLkpwKUFUv7GF800JV/XnbMUiSJPWjiSSb7117l8HQPLvz28BFwF50hgu8ls7zpo50BSJJktQzwzpms6q+m2RHYKeq+k6zzvjDquqe3ofXiicBh1fV4iRfBP5yrI5JFgALAGay6RSFJ0mS1D/WOmYzyRHACcDnm6ZHM9gr89xYVYub11+l88inUVXVwqqaV1XzZrDJ1EQnSZIGVHq8tWMiE4TeBOwH3A1QVdcAv9fLoFo2sog9oEVtSZKk3ptIsrmiqn6zZifJwxjsBOwxSZ7evH4VcG6bwUiSpCFRPd5aMpFk87tJ3gXMSvJs4GvAN3obVqt+DLwpyVXAI4GjW45HkiSpb01kNvo7gMOBy4E3AKdV1Rd6GlW7HqiqV49oO6CNQCRJ0hAZ0PvGE0k231JVnwQeTDCT/FXTJkmSJI1pIsnm64CRieX8Udr6XlVdD8xtOw5Jg+f0m5eu13kHbfeMyQ1E0vRUQIur/PTSmMlmklfSmSDz2DWrBTW2BG7vdWCSJEnqf+NVNn8A/BzYGvhEV/s9wGW9DEqSJGnY1LCN2ayqG4AbkhwI3F9Vq5M8EdiZzmQhSZIkaVwTefTR94CZSbYHzgBeAyzqZVCSJElDZ4ifs5mqWg68GPhcVb0U2K23YbUjyVFJjmw7DkmSpEExkdnoaVbUOYzO8zYBNu5dSJIkSUNoQGejT6Sy+TbgncDXq+qKJI8Dzu5pVFMoyd8n+UmSc4EnNW1HJLkwyaVJTkyyacthSpIk9aW1JptV9d2qeiHw6Wb/2qp6a88jmwJJ9gZeAewJPA/Ypzl0UlXtU1V7AFfxUEV35PkLkixJsmQlK6YiZEmSNKBSvd3astZkM8nTk1wJXN3s75Hkcz2PbGr8IZ2K7fKquhtY8zzRuUm+n+RyOsMHRh2jWlULq2peVc2bwSZTFLIkSVL/mMht9H8FDgJuA6iqS4Fn9jCm6WAR8OaqejLwfmBmu+FIkqSB1uuZ6NO5sglQVTeOaFrVg1ja8D3gkCSzkmwB/FnTvgXw8yQz6FQ2JUmStB4mMhv9xiTPAKpJvv6KzjjGvldVFyc5HrgUuAW4sDn0HuCHwK+an1u0E6EkSRoOGdjZ6BNJNt8IfBLYHlhG58Hub+plUFOpqv4B+IdRDh091bFIkiQNmrUmm1V1K95KliRJ6q1hWxt9jSSPBd4CzOnu3zwOSZKGxi4XTeRm0OgO2m7PyQtEkvrIRP7mPBn4D+AbwOqeRiNJkjSshrWyCfy6qj7V80gkSZI0cCaSbH4yyfvoTAx6cJmcqrq4Z1FJkiQNmyGubD4ZeA3wxzx0G72a/b6WZA7wzaqa23YskiRJg2giyeZLgcdV1W96HYwkSdJQKgb2OZsTWUHoR8AjehxHmzZO8oUkVyQ5o1lN6IgkFya5NMmJSTZtO0hJkqR+NJFk8xHA1UlOT3Lqmq3HcU2lnYDPVtVuwJ3AocBJVbVPVe1BZ7Wkw1uMT5IkDYFUb7e2TOQ2+vt6HkW7rquqpc3ri+g8T3Rukg/RSbQ3B04f7cQkC4AFADOx+ClJkjTSRFYQ+u5UBNKiFV2vVwGzgEXAIVV1aZL5wAGjnVhVC4GFAFtm9oDOIZMkSVNiQDOJMW+jJzm3+XlPkru7tnuS3D11IbZiC+DnSWbgUp2SJEnrbczKZlXt3/zcYurCmTbeA/wQ+FXzcxi/A0mSpA02kbXRv1JVr1lbWz+qquuBuV37H+86fPSUByRJkjRgJjJBaLfunSQPA/buTTiSJEnDqc0Z47003pjNdya5B9i9e7wm8EvglCmLUJIkSX1rvDGbHwE+kuQjVfXOKYxJknrm1m88cb3PvWrvn0xiJJI0wrCuIGSiKUmSpPU1kTGbkiRJ6qVi+J6zKUmSJG2ocZPNJBsnuXqqgpEkSRpa1eOtJeMmm1W1CvhxksdMUTySJEkaIBMZs/lI4IokFwD3rWmsqhf2LKoJaNYsPwTYDNgJ+DjwcOA1dNY7f15V3Z7k8cBngW2A5cARVXV1kkXA3cA84PeBv6uqE5JsBHwG+GPgRmAl8MWqOmHqPp0kSRo2g/qczYkkm+/peRTrby7wFGAm8FPg7VX1lCT/ArwW+FdgIfDGqromyVOBz9FJJAH+ANgf2Bk4FTgBeDEwB9gV+D3gKuCLU/R5JEmSBspak82q+m6SHYGdquo7STYFNu59aBNydlXdA9yT5C7gG0375XQeRr858Azga8mDz67apOv8k6tqNXBlkm2btv2BrzXtv0hy9lhvnmQBsABgJptO1meSJEnDaFgrm0mOoJNQzQYeD2wP/BvwJ70NbUJWdL1e3bW/ms5n2wi4s6r2nMD56/wk1apaSKdyypaZPaC/IpIkSetvIo8+ehOwH53xjVTVNXRuL097VXU3cF2SlwKkY4+1nLYYODTJRk2184AehylJkjScs9EbK6rqN2t2kjyM/ir0HgYcnuRS4Arg4LX0PxG4CbgS+CpwMXBXTyOUJEkaUBOZIPTdJO8CZiV5NvCXPDQ2sjVVtQhY1LU/Z7RjVXUd8JxRzp8/Yn/z5ufqJEdW1b1JHgVcQGcMqCRJUk+kBnc2+kQqm+8AfkUn4XoDcBrw7l4GBZBkTpIaZzu3h2//zSRLge8DH6yqX/TwvSRJkgbWRGajrwa+0GxTaRmwyzjHl/fqjavqgF5dW5IkaVS1znOV+8KYyWaSyxlnbGZV7d6TiB66/krApTIljer0m5eu13kHbTe5cUiSxjdeZfMFzc83NT+/0vx8Nf01QUiSJGn6G9Dsasxks6puAEjy7Kp6Stehtye5mM5YTkmSJGlME5kglCT7de08Y4LnSZIkaYLWzEjv1daWiTz66HDgi0m2orPKzh3A63sa1SRLcgBwZFW9YC1dJUmSNIkmMhv9ImCPJtmkqnzAuSRJ0mQb0DGba70dnmSrJP8MnAWcleQTaxLP6aZ5Nuf3k1zcbM8Ypc8+SS5J8vgkf5bkh83+d5rlKUlyVJIvJjknybVJ3jr1n0aSJKn/TWTs5ReBe4CXNdvdwJd6GdQGuAV4dlXtBbwc+FT3wSb5/Dfg4Kr6X+Bc4GnNBKjjgL/r6r4zcBCwL/C+JDNGvlmSBUmWJFmykhU9+UCSJGkI9Hi85nQfs/n4qjq0a//9zeo609EM4DNJ9gRWAU/sOrYLsBD406q6uWl7NHB8kj8AHg5c19X/W1W1AliR5BZgWzprpj+oqhY212TLzB7Q4rckSdL6m0hl8/4k+6/ZaWam39+7kDbIXwO/BPYA5tFJINf4OfBroPsxTp8GPlNVT6azFOfMrmPdpcpVTCwxlyRJWj/V460lE0mg/gL4ctc4zTuA+T2LaMNsBdxUVauTvA7YuOvYnXRm1p+Z5L6qOqfpv6w5/rqpDFSSJGkYTGQ2+lI6s9G3bPbv7nVQG+BzwIlJXgt8G7iv+2BV/TLJC4D/SfJ64Cjga0nuAP4f8NgpjleSJKljQAfkrTXZTPJh4B+r6s5m/5HA31bVu3sc2zqrqmuA7jXb3960nwOc07z+GbBbV59TRrnOUSP2505upJIkScNhImM2n7sm0QSoqjuA5/UsonE0jzaqcbZz24hLkiRpQw3zbPSNk2zSzMwmySxgk96GNaZldGaVj2X5VAUiSZKktZtIsnkMnYe5r3m25v8Bvty7kMZWVSuBq9t4b0mT72mXrlzvcw/abs/JC0SS1DMTmSD0sSSXAgc2TR+sqtN7G5YkSZIGwUSfHXkV8EBVfSfJpkm2qKp7ehmYJEnSUBnQ2egTWRv9COAE4PNN0/bAyT2MSZIkSQNiIpXNN9FZH/yH0Hm8UJLf62lUkiRJw6TlGeO9NJFHH62oqt+s2UnyMAa20CtJkqTJNJFk87tJ3gXMSvJs4GvAN3obVvuSbJbkW0kuTfKjJC9vOyZJkjTAhnht9HfQWVP8cuANwGnAv/cyqGniOcDNVfV8gK614R+UZAGwAGAmm05tdJIkSX1gIo8+Wp3kZODkqvpV70OaNi4HPpHkY8A3q+r7IztU1UJgIcCWme3QAkmStP4GNJMY8zZ6Oo5KcivwY+DHSX6V5L1TF157quonwF50ks4PDcvnliRJmkzjjdn8a2A/YJ+qml1Vs4GnAvsl+espia5FSbYDllfVV4F/opN4SpIkTbownGujvwZ4dlXduqahqq5N8mrgDOBfeh1cy54M/FOS1cBK4C9ajkeSJKnvjJdszuhONNeoql8lmdHDmKaFZklOl+WUJElTY9jGbAK/Wc9jkiRJEjB+ZXOPJHeP0h5gZo/ikSRJGj4DvILQmMlmVW08lYFI6k/LTtptvc89f48rJjESSdJ0NJGHukuSJKnXBrSyOZHlKiVJkqT1YrIpSZI0HUyDtdGTPCfJj5P8NMk7xul3aJJKMm9t1zTZlCRJEkk2Bj4LPBfYFXhlkl1H6bcF8FfADydyXZNNSZKkaWAarCC0L/DTqrq2qn4DHAccPEq/DwIfA349kYsOdbKZZH6SU5Kck+SaJO/rOnZykouSXJFkQZtxSpIkTYKtkyzp2kbmN9sDN3bt39S0PSjJXsAOVfWtib6ps9E7WfxcYDlwYZJvVdUS4PVVdXuSWU37iVV1W/eJzR/SAoCZbDrVcUuSpEHS+9not1bVWsdYjiXJRsA/A/PX5byhrmw2zqyq26rqfuAkYP+m/a1JLgXOB3YAdhp5YlUtrKp5VTVvBptMXcSSJEmTbxmdnGeNRzdta2xBp0B3TpLrgacBp65tkpCVzd/9f0QlOQA4EHh6VS1Pcg6umiRJknplHWaM99CFwE5JHksnyXwF8Ko1B6vqLmDrNftNfnRkc0d4TFY24dlJZje3yw8BFgNbAXc0iebOdDJ3SZKkgVVVDwBvBk4HrgL+u6quSPKBJC9c3+ta2YQLgBPplIq/WlVLklwOvDHJVcCP6dxKlyRJ6pnpsDZ6VZ0GnDai7b1j9D1gItc02YSbquqQ7oaqWkHnGVOSJEnaAAOdbCaZA1w3TpdlwMlTEowkSdJ4pkFlsxcGOtmkk0zuMs7x5VX1s6kKRpIkadgMdLJZVSuBq9uOQ5ruTlt28Xqf+7zt195HkrR202HMZi84G12SJEk9M9CVTUmSpL5hZVOSJElaN1Y2JUmS2jY9VhDqCSubI6TD70WSJGkSWNnkwedxng78ENgbuCDJk4FZwAlV9b4Ww5MkSQMuzTaITDYfshPwuqo6P8nsqro9ycbAWUl2r6rLRp6QZAGwAGAmm05xuJIkaaB4G33g3VBVa9ZAf1mSi4FLgN2AXUc7oaoWVtW8qpo3g02mKk5JkqS+YWXzIfcBJHkscCSwT1XdkWQRMLPNwCRJ0uDzoe7DY0s6ieddSbYFnttyPJIkSX3LyuYIVXVpkkvoLHN5I7C45ZAkSdIwGNDKpskmUFXXA3O79ue3FowkSdIAMdmUJEmaDga0sumYTUmSJPWMlU1pgJx+89L1Ou+g7faa3EAkSeumnI0uSZIkrTMrm5IkSdOBlU1JkiRp3ZhsAkkekeQv245DkiQNr1Rvt7aYbHY8AjDZlCRJmmSO2ez4KPD4JEuBM4FbgJcBmwBfr6r3tRibJEkaBo7ZHGjvAP63qvakk2zuBOwL7AnsneSZo52UZEGSJUmWrGTFVMUqSZLUN6xs/q4/bbZLmv3N6SSf3xvZsaoWAgsBtszsAf3/iCRJmgqD+pxNk83fFeAjVfX5tgORJEnqd95G77gH2KJ5fTrw+iSbAyTZPsnvtRaZJEkafDUFW0usbAJVdVuSxUl+BPwPcCxwXhKAe4FX05k0JEmSpHVgstmoqleNaPpkK4FIkqThNKBjNr2NLkmSpJ6xsilJktSy4Gx0SVPk6zddsN7nHrTdvpMYiSRJG85kU5IkaToY0MqmYzYlSZLUM1Y2JUmSpoHUYJY2h7KymeQH4xyb0zxvU5IkSRtoKCubVfWMtmOQJEl6UMur/PTSsFY2702yeZKzklyc5PIkB3d12TjJF5JckeSMJLNaC1aSJKmPDWWy2fg18KKq2gt4FvCJNOtTAjsBn62q3YA7gUNHu0CSBUmWJFmykhVTEbMkSRpQqd5ubRnK2+iNAB9O8kxgNbA9sG1z7LqqWtq8vgiYM9oFqmohsBBgy8we0OK3JEnS+hvmZPMwYBtg76pameR6YGZzrLtMuQrwNrokSeqtAS1bDfNt9K2AW5pE81nAjm0HJEmSNGiGtbJZwDHAN5JcDiwBrm43JEmSNMxcG31AJHkUcHtV3Qo8fYxuc9e8qKqPT0lgkiRJA2ioks0k2wHnACaQkiRperGy2f+q6mbgiW3HIUmSNCyGKtmUpsoxNy5e73Nf9Oj9JjESSVJfaPlZmL00zLPRJUmS1GNWNiVJkqYDK5uSJEnSurGyKUmS1LLgmE1JkiRpnQ19splktyQXJFma5LIkOzXtr+5q/3ySjduOVZIkDbCq3m4tGfpkE3gj8Mmq2hOYB9yUZBfg5cB+Tfsq4LCRJyZZkGRJkiUrWTGFIUuSJPUHx2zCecDfJ3k0cFJVXZPkT4C9gQuTAMwCbhl5YlUtBBYCbJnZAzrSQpIkTYVBHbM59MlmVR2b5IfA84HTkryBzjjdL1fVO9uNTpIkqb8N/W30JI8Drq2qTwGnALsDZwEvSfJ7TZ/ZSXZsMUxJkjTIagq2lgx9ZRN4GfCaJCuBXwAfrqrbk7wbOCPJRsBK4E3ADS3GKUmS1HeGPtmsqo8CHx2l/Xjg+KmPSJIkDaOsbjuC3hj42+hJ5iSpcbZz245RkiRpUA1DZXMZsMs4x5dPVSCSJEljcjZ6f6qqlcDVbceh/vSiK3+1XucdtsN+kxyJpOlmff9+APj6rttMYiTS9DbwyaYkSVI/GNTnbA78mE1JkiS1x8qmJElS24pW1y/vpaGrbCY5J8m8tuOQJEkaBlY2JUmSpgHHbPapJLOSHJfkqiRfB2Z1HTs6yZIkVyR5f1f79Unen+TiJJcn2bmV4CVJkvrcMFQ2/wJYXlW7JNkduLjr2N83S1NuDJyVZPequqw5dmtV7ZXkL4EjgT8feeEkC4AFADPZtLefQpIkDTYrm33rmcBXAZpE8rKuYy9LcjFwCbAbsGvXsZOanxcBc0a7cFUtrKp5VTVvBptMdtySJEl9bxgqm6NK8lg6Fct9quqOJIuAmV1dVjQ/VzHE35MkSeq94JjNfvY94FUASeYCuzftWwL3AXcl2RZ4bjvhSZIkDa5hqNgdDXwpyVXAVXRui1NVlya5hM5SljcCi9sLUZIkDbWqgX3O5sAnm1V1P/CKMY7NH6N9TtfrJcABPQhNkiRp4PX9bfQkc5LUONu5bccoSZK0Nqnebm0ZhMrmMmCXcY4vn6pAND39x8/W//8bhz9m/0mMRNIg+fqu27QdgtQX+j7ZrKqVdMZdSpIk9a/BHLLZ/7fRJUmSNH31fWVTkiRpEPicTUmSJGkdWdmUJElqWwGrB7O0aWVTkiRJPTPUyWbzjM6rknwhyRVJzkgyK8k+SS5LsjTJPyX5UduxSpKkAVc93loy1MlmYyfgs1W1G3AncCjwJeANVbUnsGqsE5MsSLIkyZKVrJiKWCVJkvqKySZcV1VLm9cXAXOALarqvKbt2LFOrKqFVTWvqubNYJPeRilJkgbaoK4gZLLJb5UkVwFbtxWIJEnSoDHZ/F13AvckeWqz/4oWY5EkScOiqrdbS0w2R3c48IUkS4HNgLvaDUeSJKk/DfVzNqvqemBu1/7HAZJsXlW7N6/fASxpJUBJkjQ0BnUFoaFONsfx/CTvpPP93ADMbzccSZKk/mSyOYqqOh44vu049JD/PXbP9T738MdMXhySJPVEy8/CXCPJc4BPAhsD/15VHx1x/G+APwceAH4FvL6qbhjvmo7ZlCRJEkk2Bj4LPBfYFXhlkl1HdLsEmNcMNzwB+Me1XddkU5IkqWUBUtXTbQL2BX5aVddW1W+A44CDuztU1dlVtbzZPR949NouarIpSZI0HLZes/Jhsy0YcXx74Mau/ZuatrEcDvzP2t7UMZuSJEnTweqev8OtVTVvMi6U5NXAPOCP1tbXyiaQ5JBRxiRIkiQNk2XADl37j27afkuSA4G/B15YVStGHh/JZLPjEDoDYSVJkloxDcZsXgjslOSxSR5OZxXFU38rxuQpwOfpJJq3TOSiA3EbPcl8OgnjZsBOwMeBhwOvobP2+fOq6vYkRwALmmM/bY7vCbwQ+KMk7wYOBf54ZL+uwbCSJEkDp6oeSPJm4HQ6jz76YlVdkeQDwJKqOhX4J2Bz4GtJAH5WVS8c77oDkWw25gJPAWbSSRDfXlVPSfIvwGuBfwVOqqovACT5EHB4VX06yanAN6vqhObYnSP7AZ8e+YbNwNoFADPZtMcfT5IkDaxp8pzNqjoNOG1E23u7Xh+4rtccpGTz7Kq6B7gnyV3AN5r2y4Hdm9dzm+TxEXSy8tPHuNaE+lXVQmAhwJaZPQ1+RSRJkqaXQUo2uweoru7aX81Dn3MRcEhVXdrcej9gjGtNtJ8kSdIkKJjYuMq+M2wThLYAfp5kBnBYV/s9zbG19ZMkSdI6GLZk8z3AD4HFwNVd7ccB/zfJJUkeP04/SZKknkj1dmvLQNxGr6pFdG59r9mfM9qxqjoaOHqU8xfz248+GrWfJEmS1k1fVDaTzElS42znth2jJEnSBqnq7daSfqlsLgN2Gee4z8DsA99cdtF6n/uC8VZmlSRJ01ZfJJtVtRLHTkqSpEFVkN6vjd6KvriNLkmSpP7UF5VNSZKkgedzNiVJkqR1Y2VTkiRpOhjMwqaVTUmSJPXOwCSbSb6XZM+u/XOT7JFk3yTnNasD/SDJk5rj85OclOTbSa5J8o9d5x6e5CdJLkjyhSSfaeEjSZKkIZKqnm5tGZhkE/gPYD5AkicCM6vqUjqPTPrDqnoK8F7gw13n7Am8HHgy8PIkOyTZjs5ylU8D9gN2HusNkyxIsiTJkpWsmPxPJEmS1OcGaczm14D3JPm/wOt5aPnKrYAvJ9mJzmiIGV3nnFVVdwEkuRLYEdga+G5V3d60fw144mhvWFULgYUAW2b2gI60kCRJU8LZ6NNbVS0HzgQOBl4GHNMc+iBwdlXNBf4MmNl1Wnc5chWDlXxLkiS1bmCSzca/A58CLqyqO5q2regsdwnNbfa1uBD4oySPTPIw4NBJj1KSJKlbAat7vLVkoJLNqroIuBv4UlfzPwIfSXIJE6hcVtUyOuM6LwAWA9cDd016sJIkSUNgoG4bN5N7NgLOWNNWVefx22Mu3920L+KhcZ1U1Qu6+hxbVQubyubXgZN7FrQkSRp6od0Z473UN8lmkjnAdeN0uY7O5J+/qaoNLRYfleRAOuM7z8BkU5Ik9ZrJZuuWAbuMc3x5Vf1sMt6oqo6cjOsMqtNvXrpe5x203d6TG4gkSZr2+ibZrKqVdJ6ZKUmSNHgGtLI5UBOEJEmSNL30TWVTkiRpYK159NEAsrIpSZKknrGyKUmSNA0M6qOPhqaymeTkJBcluSLJgqbt3iT/kOTSJOcn2bZpf3yzf3mSDyW5t93oJUmS+tPQJJvA66tqb2Ae8NYkjwI2A86vqj2A7wFHNH0/CXyyqp4M3NRKtJIkabhU9XZryTAlm29NcilwPrADsBPwG+CbzfGLgDnN66cDX2teHzvWBZMsSLIkyZKVrOhJ0JIkSf1sKMZsJjkAOBB4elUtT3IOndWBVlY9mOqvYh2/j6paCCwE2DKzB3OghSRJmgLtVh97aVgqm1sBdzSJ5s7A09bS/3zg0Ob1K3oamSRJ0gAblmTz28DDklwFfJROMjmetwF/k+Qy4AnAXb0NT5IkDbViYMdsDsVt9KpaATx3lEObd/U5ATih2V0GPK2qKskrgCf1PkpJkqTBMxTJ5nrYG/hMkgB3Aq9vNxxJkjTwBnQFIZPNUVTV94E92o5DkiSp35lsDqnTb1663ucetN2ekxaHJEnqcAUhSZIkaR1Z2ZQkSZoOrGxKkiRJ68ZkcwxJ5iT5UdtxSJKkIVDA6urt1hKTTUmSJPWMyeYEJHlckkuS7NN2LJIkaRD1ePUgVxCavpI8CTgOmF9Vl7YdjyRJUj8x2RzfNsApwIur6sqRB5MsABYAzGTTKQ5NkiQNFGejD6W7gJ8B+492sKoWVtW8qpo3g02mNjJJkqQ+YGVzfL8BXgScnuTeqjq27YAkSdKAGtDKpsnmWlTVfUleAJzZJJynth2TJElSvzDZHENVXQ/MbV7fCTgTXZIk9caa52wOIMdsSpIkqWesbEqSJLWuoFa3HURPmGz2sa/cuHi9zz1ou/0mMRJJ0nS3If9mvGYH/83Q+jPZlCRJmg4GdDa6YzYlSZLUM1Y2JUmS2uZs9OkvyVFJjmw7DkmSJD3EyqYkSdJ04JjN9iSZk+TqJIuS/CTJMUkOTLI4yTVJ9m267pHkvKbtiObczZOcleTiJJcnObjrmlcl+UKSK5KckWRWc2yfJJclWZrkn5L8qKWPLkmS1Nf6ItlsPAH4BLBzs70K2B84EnhX02d34I+BpwPvTbId8GvgRVW1F/As4BNJ0vTfCfhsVe0G3Akc2rR/CXhDVe0JrBoroCQLkixJsmQlKybrc0qSpGFU1dutJf2UbF5XVZdX1WrgCuCsqirgcmBO0+eUqrq/qm4Fzgb2BQJ8OMllwHeA7YFtu665tHl9ETAnySOALarqvKb92LECqqqFVTWvqubNYJPJ+pySJEkDo5/GbHaXDld37a/moc8xMm0v4DBgG2DvqlqZ5Hpg5ijXXAXMmsyAJUmSJqbd6mMv9VNlcyIOTjIzyaOAA4ALga2AW5pE81nAjuNdoKruBO5J8tSm6RU9jFeSJGmg9VNlcyIuo3P7fGvgg1V1c5JjgG8kuRxYAlw9gescDnwhyWrgu8BdvQpYkiSp85xN10ZvTVVdD8zt2p8/1rFRzr2VzoSh0XRf8+Nd7VdU1e4ASd5BJ0mVJEnSOuqLZLMFz0/yTjrfzw3A/HbDkSRJA29Ax2yabI6iqo4Hjm87DkmSpH5nsjkNfHPZRet13gu232+SI5EkDarX7OC/GdPegFY2B202uiRJkqYRK5uSJEmtK1htZVOSJElaJ1Y2JUmS2lbQWZF78FjZlCRJUs8MdbKZZH6SU5Kck+SaJO/rOvbqJBckWZrk80k2bjNWSZI04FZXb7eWDHWy2dgXOBTYHXhpknlJdgFeDuxXVXsCq4DDRp6YZEGSJUmWrGTFVMYsSZLUFxyzCWdW1W0ASU4C9gceAPYGLkwCMAu4ZeSJVbUQWAiwZWYP5hQySZI0NQb0OZsmmzDyT7aAAF+uqne2EI8kSdLA8DY6PDvJ7CSzgEOAxcBZwEuS/B5Ac3zHFmOUJEmDrApWr+7t1hIrm3ABcCLwaOCrVbUEIMm7gTOSbASsBN4E3NBalJIkSX3IZBNuqqpDRjZW1fHA8VMfjiRJGkqO2ew/SeYA143TZRlw8pQEI0mSNIQGOtmkk0zuMs7x5VX1s6kKRpIkaSzV4rjKXhroZLOqVgJXT8V7bT13Bf/npPUb0vmC7fee5GgkSZKmh4FONiVJkvpDDeyYTR99JEmSpJ6xsilJktS2otX1y3up7yubSe6dgvf4Qa/fQ5IkaRBZ2ZyAqnpG2zFIkqQBV4M5G33aVTaT7JbkgiRLk1yWZKem/dVd7Z9PsnHXOf+S5IokZyXZpmk7IsmFSS5NcmKSTZv2xyc5P8nlST60pjKaZPPm/IubYwd3Xb/n1VNJkqRBNO2STeCNwCerak9gHnBTkl2AlwP7Ne2rgMOa/psBS6pqN+C7wPua9pOqap+q2gO4Cji8af9kc/0nAzd1ve+vgRdV1V7As4BPJMl4gSZZkGRJkiX33P7ABn1oSZI0vAqo1dXTrS3TMdk8D3hXkrcDO1bV/cCfAHsDFyZZ2uw/rum/moeWlfwqsH/zem6S7ye5nE5iulvT/nTga83rY7veN8CHk1wGfAfYHth2vECramFVzauqeVvMdkSCJEnSSNMuQ6qqY5P8EHg+cFqSN9BJBL9cVe+cyCWan4uAQ6rq0iTzgQPWct5hwDbA3lW1Msn1wMx1/wSSJEnrqMoxm1MlyeOAa6vqU8ApwO7AWcBLkvxe02d2kh2bUzYCXtK8fhVwbvN6C+DnSWbw0C13gPOBQ5vXr+hq3wq4pUk0nwXsiCRJkjbItKtsAi8DXpNkJfAL4MNVdXuSdwNnJNkIWAm8CbgBuA/Ytzl+C52xnQDvAX4I/Kr5uUXT/jbgq0n+Hvg2cFfTfgzwjea2+xKmaJlLSZIkoNVxlb007ZLNqvoo8NFR2o/nobGZ3e2bj3Gdo4GjRzm0DHhaVVWSVwBPavrfSmc852jXGvU9JEmSBkmS59CZTL0x8O9NXtZ9fBPgP+nMpbkNeHlVXT/eNac82UwyB7hunC6Lq2r/cY5vqL2BzzQzze8EXt/D95IkSZqYlsdsNo+V/CzwbDpP7LkwyalVdWVXt8OBO6rqCU3R7mM8dFd5VG1UNpcBu4xzfHkv37yqvg/s0cv3kCRJ6kP7Aj+tqmsBkhwHHAx0J5sHA0c1r0+gKeBV1ZhjADLOMa2DJL+iM4Z0NFsDt05hOP3K72nt/I7Wzu9oYvye1s7vaO0G7Tvasaq2aeONk3ybzvfZSzPpPFd8jYVVtbArhpcAz6mqP2/2XwM8tare3NXnR02fm5r9/236jPl7MO3GbPar8X45kyypqnlTGU8/8ntaO7+jtfM7mhi/p7XzO1o7v6PJU1XPaTuGXpl2jz6SJElSK5YBO3TtP7ppG7VPkofReXTkbeNd1GRTkiRJABcCOyV5bJKH03ke+akj+pwKvK55/RLg/403XhO8jT5VFq69i/B7mgi/o7XzO5oYv6e18ztaO7+jAVJVDyR5M3A6nUcffbGqrkjyAWBJVZ0K/AfwlSQ/BW7ntxfIGZUThCRJktQz3kaXJElSz5hsSpIkqWdMNnssyXOS/DjJT5O8o+14pqMk1ye5PMnSJEvajme6SPLFJLc0zzRb0zY7yZlJrml+PrLNGNs2xnd0VJJlze/T0iTPazPGtiXZIcnZSa5MckWSv2ra/V1qjPMd+bvUJcnMJBckubT5nt7ftD82yQ+bf+eObyaWSA9yzGYPNcs+/YSuZZ+AV45Y9mnoJbkemDfeA2GHUZJnAvcC/1lVc5u2fwRur6qPNv95eWRVvb3NONs0xnd0FHBvVX28zdimiyR/APxBVV2cZAvgIuAQYD7+LgHjfkcvw9+lBzXLPG9WVfcmmQGcC/wV8DfASVV1XJJ/Ay6tqqPbjFXTi5XN3npw2aeq+g2wZtknaa2q6nt0Zvp1Oxj4cvP6y3T+QRxaY3xH6lJVP6+qi5vX9wBXAdvj79KDxvmO1KU67m12ZzRbAX9MZ9lCGPLfJY3OZLO3tgdu7Nq/Cf8CG00BZyS5KMmCtoOZ5ratqp83r38BbNtmMNPYm5Nc1txmH9rbwyMlmQM8Bfgh/i6NasR3BP4u/ZYkGydZCtwCnAn8L3BnVT3QdPHfOf0Ok01NB/tX1V7Ac4E3NbdGtRbNQ3QdB/O7jgYeD+wJ/Bz4RKvRTBNJNgdOBN5WVXd3H/N3qWOU78jfpRGqalVV7UlnZZl9gZ3bjUj9wGSztyay7NPQq6plzc9bgK/T+QtMo/tlM75szTizW1qOZ9qpql82/yCuBr6Av0804+tOBI6pqpOaZn+Xuoz2Hfm7NLaquhM4G3g68Ihm2ULw3zmNwmSztyay7NNQS7JZMyCfJJsBfwr8aPyzhlr3MmGvA05pMZZpaU0C1XgRQ/771Ezq+A/gqqr6565D/i41xvqO/F36bUm2SfKI5vUsOpNfr6KTdL6k6TbUv0sanbPRe6x5VMa/8tCyT//QbkTTS5LH0almQmf51GP9jjqS/BdwALA18EvgfcDJwH8DjwFuAF5WVUM7QWaM7+gAOrc9C7geeEPX2MShk2R/4PvA5cDqpvlddMYk+rvEuN/RK/F36UFJdqczAWhjOsWq/66qDzR/jx8HzAYuAV5dVSvai1TTjcmmJEmSesbb6JIkSeoZk01JkiT1jMmmJEmSesZkU5IkST1jsilJkqSeMdmU1Jokq5Is7dre0cP3mp/kMxtw/pwkr+ran5fkU5MT3ajvd0CSZ/Tq+pI0VR629i6S1DP3N0vfTTtJHta13jPAHOBVwLEAVbUEWNLDEA4A7gV+0MP3kKSes7IpadpJcn2S9ye5OMnlSXZu2jdP8qWm7bIkhzbtr2zafpTkY13X+T9JfpLkAmC/rvZtkpyY5MJm269pPyrJV5IsBr4yIqyPAn/YVGD/uqk8frPrvC8n+X6SG5K8OMk/NjF9u1kKkSR7J/lukouSnN61XORbk1zZfKbjkswB3gj8dfN+fziBmM9Lck2SI3ryhyJJ68nKpqQ2zUqytGv/I1V1fPP61qraK8lfAkcCfw68B7irqp4MkOSRSbYDPgbsDdwBnJHkEDor5Ly/ab+LzpJ6lzTX/iTwL1V1bpLHAKcDuzTHdgX2r6r7R8T6DuDIqnpB894HjDj+eOBZzfnnAYdW1d8l+Trw/CTfAj4NHFxVv0rycuAfgNc3135sVa1I8oiqujPJvwH3VtXHm/c7dpyYdweeBmwGXJLkW1V183hfvCRNFZNNSW0a7zb6Sc3Pi4AXN68PBF6xpkNV3ZHkmcA5VfUrgCTHAM9sunS3Hw88ses6u3aWxAZgyySbN69PHSXRnIj/qaqVSS6ns5zft5v2y+ncgn8SMBc4s3nfjYE1Sx9eBhyT5GQ6S5KOZryYT2livj/J2cC+41xHkqaUyaak6WrN2sqrmPy/qzYCnlZVv+5ubBK5+9bzmisAqmp1kpX10FrAq+nEH+CKqnr6KOc+n06C/GfA3yd58jrGPHLdYdchljRtOGZTUj85E3jTmp0kjwQuAP4oydZJNgZeCXyXzm30P0ryqGbM5Eu7rnMG8Jau6+w5gfe+B9hiA2L/MbBNkqc37zkjyW5JNgJ2qKqzgbcDWwGbj/J+48V8cJKZSR5FZ2LRhRsQpyRNKpNNSW2aNeLRRx9dS/8PAY9sJgJdCjyrqn5OZ8zj2cClwEVVdUrTfhSd8ZOLgau6rvNWYF4zIedKOpNx1uYyYFWSS5P89Tp9SqCqfgO8BPhYE/tS4Bl0bqd/tbn9fgnwqaq6E/gG8KI1E4TWEvNlzec/H/ig4zUlTSd56E6PJKnfJDmKrolEkjTdWNmUJElSz1jZlCRJUs9Y2ZQkSVLPmGxKkiSpZ0w2JUmS1DMmm5IkSeoZk01JkiT1zP8HlQZCbpSy99oAAAAASUVORK5CYII=\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(10, 8))\n", "ax = fig.add_subplot(111)\n", "ax.set_title('Alignment steps')\n", "im = ax.imshow(\n", " results['alignment'],\n", " aspect='auto',\n", " origin='lower',\n", " interpolation='none')\n", "ax.set_yticks(range(len(results['subwords'])))\n", "labels = [item.get_text() for item in ax.get_yticklabels()]\n", "ax.set_yticklabels(results['subwords'])\n", "fig.colorbar(im, ax=ax)\n", "xlabel = 'Encoder timestep'\n", "plt.xlabel(xlabel)\n", "plt.ylabel('Decoder timestep')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_alignments(alignment = results['alignment'],\n", " subs_alignment = results['subwords_alignment'],\n", " words_alignment = results['words_alignment'],\n", " waveform = malay2,\n", " sample_rate = 16000,\n", " figsize = (16, 9))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "#### Predict Singlish\n", "\n", "Our original text is: 'saravanan gopinathan george yeo yong boon and tay kheng soon'" ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "results = model.predict(y, data[os.path.split(wavs[0])[1]])" ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "dict_keys(['words_alignment', 'subwords_alignment', 'subwords', 'alignment'])" ] }, "execution_count": 21, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results.keys()" ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "[{'text': 'saravanan',\n", " 'start': 0.8410552763819095,\n", " 'end': 1.5219095477386935,\n", " 'start_t': 3,\n", " 'end_t': 6,\n", " 'score': 9.532287e-07},\n", " {'text': 'gopinathan',\n", " 'start': 1.8423115577889446,\n", " 'end': 2.6032663316582916,\n", " 'start_t': 7,\n", " 'end_t': 10,\n", " 'score': 1.789202e-06},\n", " {'text': 'george',\n", " 'start': 3.364221105527638,\n", " 'end': 3.6045226130653267,\n", " 'start_t': 13,\n", " 'end_t': 14,\n", " 'score': 1.8525572e-05},\n", " {'text': 'yeo',\n", " 'start': 3.844824120603015,\n", " 'end': 4.045075376884422,\n", " 'start_t': 15,\n", " 'end_t': 16,\n", " 'score': 1.0203461e-05},\n", " {'text': 'yong',\n", " 'start': 4.1652261306532665,\n", " 'end': 4.365477386934674,\n", " 'start_t': 16,\n", " 'end_t': 17,\n", " 'score': 1.0203461e-05},\n", " {'text': 'boon',\n", " 'start': 4.685879396984925,\n", " 'end': 4.926180904522613,\n", " 'start_t': 18,\n", " 'end_t': 19,\n", " 'score': 1.3545392e-07},\n", " {'text': 'and',\n", " 'start': 5.727185929648241,\n", " 'end': 5.767236180904522,\n", " 'start_t': 22,\n", " 'end_t': 22,\n", " 'score': 3.4447204e-08},\n", " {'text': 'tay',\n", " 'start': 6.007537688442211,\n", " 'end': 6.207788944723618,\n", " 'start_t': 23,\n", " 'end_t': 24,\n", " 'score': 5.423156e-07},\n", " {'text': 'kheng',\n", " 'start': 6.28788944723618,\n", " 'end': 6.488140703517588,\n", " 'start_t': 24,\n", " 'end_t': 25,\n", " 'score': 1.647781e-06},\n", " {'text': 'soon',\n", " 'start': 6.568241206030151,\n", " 'end': 6.848592964824121,\n", " 'start_t': 26,\n", " 'end_t': 27,\n", " 'score': 9.646859e-07}]" ] }, "execution_count": 22, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['words_alignment']" ] }, { "cell_type": "code", "execution_count": 23, "metadata": { "scrolled": true }, "outputs": [ { "data": { "text/plain": [ "[{'text': '▁sa',\n", " 'start': 0.8410552763819095,\n", " 'end': 0.8811055276381908,\n", " 'start_t': 3,\n", " 'end_t': 3,\n", " 'score': 1.2220553e-07},\n", " {'text': 'ra',\n", " 'start': 1.081356783919598,\n", " 'end': 1.1214070351758796,\n", " 'start_t': 4,\n", " 'end_t': 4,\n", " 'score': 9.243605e-08},\n", " {'text': 'v',\n", " 'start': 1.201507537688442,\n", " 'end': 1.2415577889447236,\n", " 'start_t': 5,\n", " 'end_t': 5,\n", " 'score': 1.0656663e-08},\n", " {'text': 'an',\n", " 'start': 1.3216582914572863,\n", " 'end': 1.3617085427135678,\n", " 'start_t': 5,\n", " 'end_t': 5,\n", " 'score': 5.4261122e-08},\n", " {'text': 'an',\n", " 'start': 1.481859296482412,\n", " 'end': 1.5219095477386935,\n", " 'start_t': 6,\n", " 'end_t': 6,\n", " 'score': 8.020109e-06},\n", " {'text': '▁go',\n", " 'start': 1.8423115577889446,\n", " 'end': 1.882361809045226,\n", " 'start_t': 7,\n", " 'end_t': 7,\n", " 'score': 3.209235e-06},\n", " {'text': 'p',\n", " 'start': 1.962462311557789,\n", " 'end': 2.0025125628140703,\n", " 'start_t': 8,\n", " 'end_t': 8,\n", " 'score': 2.0064768e-08},\n", " {'text': 'in',\n", " 'start': 2.1226633165829143,\n", " 'end': 2.1627135678391958,\n", " 'start_t': 8,\n", " 'end_t': 8,\n", " 'score': 6.117405e-08},\n", " {'text': 'at',\n", " 'start': 2.2428140703517587,\n", " 'end': 2.28286432160804,\n", " 'start_t': 9,\n", " 'end_t': 9,\n", " 'score': 1.5955281e-06},\n", " {'text': 'han',\n", " 'start': 2.56321608040201,\n", " 'end': 2.6032663316582916,\n", " 'start_t': 10,\n", " 'end_t': 10,\n", " 'score': 1.7622291e-08},\n", " {'text': '▁ge',\n", " 'start': 3.364221105527638,\n", " 'end': 3.4042713567839193,\n", " 'start_t': 13,\n", " 'end_t': 13,\n", " 'score': 0.000544741},\n", " {'text': 'or',\n", " 'start': 3.4843718592964823,\n", " 'end': 3.5244221105527638,\n", " 'start_t': 14,\n", " 'end_t': 14,\n", " 'score': 2.721273e-07},\n", " {'text': 'ge',\n", " 'start': 3.5644723618090453,\n", " 'end': 3.6045226130653267,\n", " 'start_t': 14,\n", " 'end_t': 14,\n", " 'score': 4.555813e-06},\n", " {'text': '▁',\n", " 'start': 3.844824120603015,\n", " 'end': 3.8848743718592966,\n", " 'start_t': 15,\n", " 'end_t': 15,\n", " 'score': 1.9964894e-07},\n", " {'text': 'y',\n", " 'start': 3.884874371859296,\n", " 'end': 3.9249246231155777,\n", " 'start_t': 15,\n", " 'end_t': 15,\n", " 'score': 8.268911e-06},\n", " {'text': 'e',\n", " 'start': 3.964974874371859,\n", " 'end': 4.005025125628141,\n", " 'start_t': 15,\n", " 'end_t': 16,\n", " 'score': 0.99506426},\n", " {'text': 'o',\n", " 'start': 4.005025125628141,\n", " 'end': 4.045075376884422,\n", " 'start_t': 16,\n", " 'end_t': 16,\n", " 'score': 0.67549676},\n", " {'text': '▁',\n", " 'start': 4.1652261306532665,\n", " 'end': 4.205276381909548,\n", " 'start_t': 16,\n", " 'end_t': 16,\n", " 'score': 4.2439947e-06},\n", " {'text': 'y',\n", " 'start': 4.205276381909548,\n", " 'end': 4.2453266331658295,\n", " 'start_t': 16,\n", " 'end_t': 17,\n", " 'score': 0.0015577499},\n", " {'text': 'ong',\n", " 'start': 4.325427135678392,\n", " 'end': 4.365477386934674,\n", " 'start_t': 17,\n", " 'end_t': 17,\n", " 'score': 6.180808e-08},\n", " {'text': '▁bo',\n", " 'start': 4.685879396984925,\n", " 'end': 4.725929648241206,\n", " 'start_t': 18,\n", " 'end_t': 18,\n", " 'score': 4.90003e-07},\n", " {'text': 'on',\n", " 'start': 4.886130653266331,\n", " 'end': 4.926180904522613,\n", " 'start_t': 19,\n", " 'end_t': 19,\n", " 'score': 4.4304317e-05},\n", " {'text': '▁and',\n", " 'start': 5.727185929648241,\n", " 'end': 5.767236180904522,\n", " 'start_t': 22,\n", " 'end_t': 22,\n", " 'score': 0.95396453},\n", " {'text': '▁ta',\n", " 'start': 6.007537688442211,\n", " 'end': 6.047587939698492,\n", " 'start_t': 23,\n", " 'end_t': 24,\n", " 'score': 0.99530405},\n", " {'text': 'y',\n", " 'start': 6.167738693467337,\n", " 'end': 6.207788944723618,\n", " 'start_t': 24,\n", " 'end_t': 24,\n", " 'score': 0.999545},\n", " {'text': '▁k',\n", " 'start': 6.28788944723618,\n", " 'end': 6.327939698492462,\n", " 'start_t': 24,\n", " 'end_t': 25,\n", " 'score': 0.38012785},\n", " {'text': 'h',\n", " 'start': 6.367989949748743,\n", " 'end': 6.408040201005025,\n", " 'start_t': 25,\n", " 'end_t': 25,\n", " 'score': 0.000104434235},\n", " {'text': 'e',\n", " 'start': 6.408040201005025,\n", " 'end': 6.448090452261306,\n", " 'start_t': 25,\n", " 'end_t': 25,\n", " 'score': 1.6290902e-06},\n", " {'text': 'ng',\n", " 'start': 6.448090452261306,\n", " 'end': 6.488140703517588,\n", " 'start_t': 25,\n", " 'end_t': 25,\n", " 'score': 4.857545e-07},\n", " {'text': '▁so',\n", " 'start': 6.568241206030151,\n", " 'end': 6.608291457286432,\n", " 'start_t': 26,\n", " 'end_t': 26,\n", " 'score': 1.017138e-07},\n", " {'text': 'on',\n", " 'start': 6.80854271356784,\n", " 'end': 6.848592964824121,\n", " 'start_t': 26,\n", " 'end_t': 27,\n", " 'score': 7.557719e-06}]" ] }, "execution_count": 23, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results['subwords_alignment']" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(8, 6))\n", "ax = fig.add_subplot(111)\n", "ax.set_title('Alignment steps')\n", "im = ax.imshow(\n", " results['alignment'].T,\n", " aspect='auto',\n", " origin='lower',\n", " interpolation='none')\n", "ax.set_yticks(range(len(results['subwords'])))\n", "labels = [item.get_text() for item in ax.get_yticklabels()]\n", "ax.set_yticklabels(results['subwords'])\n", "fig.colorbar(im, ax=ax)\n", "xlabel = 'Encoder timestep'\n", "plt.xlabel(xlabel)\n", "plt.ylabel('Decoder timestep')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "code", "execution_count": 25, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "plot_alignments(alignment = results['alignment'],\n", " subs_alignment = results['subwords_alignment'],\n", " words_alignment = results['words_alignment'],\n", " waveform = y,\n", " sample_rate = 16000,\n", " figsize = (16, 9))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### What if we give wrong transcription?" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "{'words_alignment': [{'text': 'husein',\n", " 'start': 0.8410552763819095,\n", " 'end': 1.281608040201005,\n", " 'start_t': 1,\n", " 'end_t': 1,\n", " 'score': 9.416054e-08},\n", " {'text': 'sangat',\n", " 'start': 2.2828643216080398,\n", " 'end': 2.3229145728643212,\n", " 'start_t': 2,\n", " 'end_t': 2,\n", " 'score': 6.818997e-07},\n", " {'text': 'comel',\n", " 'start': 3.324170854271357,\n", " 'end': 3.8848743718592966,\n", " 'start_t': 3,\n", " 'end_t': 3,\n", " 'score': 1.3340428e-05}],\n", " 'subwords_alignment': [{'text': '▁hu',\n", " 'start': 0.8410552763819095,\n", " 'end': 0.8811055276381908,\n", " 'start_t': 1,\n", " 'end_t': 1,\n", " 'score': 9.416054e-08},\n", " {'text': 'se',\n", " 'start': 1.1214070351758794,\n", " 'end': 1.1614572864321608,\n", " 'start_t': 1,\n", " 'end_t': 1,\n", " 'score': 4.8340604e-07},\n", " {'text': 'in',\n", " 'start': 1.2415577889447236,\n", " 'end': 1.281608040201005,\n", " 'start_t': 1,\n", " 'end_t': 1,\n", " 'score': 4.0840082e-09},\n", " {'text': '▁sangat',\n", " 'start': 2.2828643216080398,\n", " 'end': 2.3229145728643212,\n", " 'start_t': 2,\n", " 'end_t': 2,\n", " 'score': 2.5190607e-06},\n", " {'text': '▁co',\n", " 'start': 3.324170854271357,\n", " 'end': 3.3642211055276383,\n", " 'start_t': 3,\n", " 'end_t': 3,\n", " 'score': 0.00043028969},\n", " {'text': 'me',\n", " 'start': 3.5644723618090453,\n", " 'end': 3.6045226130653267,\n", " 'start_t': 3,\n", " 'end_t': 3,\n", " 'score': 0.00030472153},\n", " {'text': 'l',\n", " 'start': 3.844824120603015,\n", " 'end': 3.8848743718592966,\n", " 'start_t': 3,\n", " 'end_t': 3,\n", " 'score': 4.8931256e-06}],\n", " 'subwords': ['▁hu', 'se', 'in', '▁sangat', '▁co', 'me', 'l'],\n", " 'alignment': array([[2.72694809e-08, 1.46691752e-06, 2.72644751e-09, 7.75767646e-08,\n", " 2.31194292e-07, 1.09011422e-08, 1.23739765e-08],\n", " [9.41605407e-08, 4.83406041e-07, 4.08400824e-09, 1.76549584e-08,\n", " 2.92625117e-07, 2.61610573e-08, 8.27328950e-06],\n", " [3.89696273e-04, 6.81899678e-07, 1.51673867e-05, 2.51906067e-06,\n", " 4.52378590e-05, 6.25562825e-06, 7.36032205e-04],\n", " [2.27073040e-02, 1.52006196e-05, 1.33404283e-05, 2.23881052e-05,\n", " 4.30289685e-04, 3.04721529e-04, 4.89312561e-06],\n", " [3.43373443e-07, 4.62461092e-09, 1.42082008e-08, 3.31597818e-07,\n", " 1.25402551e-07, 2.50174423e-08, 7.87086810e-06],\n", " [1.73348526e-05, 6.10900361e-06, 1.20940858e-05, 3.23311951e-06,\n", " 1.60034288e-05, 2.12415078e-04, 3.16820992e-03],\n", " [4.66601477e-07, 8.34146192e-08, 7.52743574e-08, 1.89134155e-07,\n", " 1.75862976e-06, 3.68233337e-08, 1.27846804e-02]], dtype=float32)}" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "results = model.predict(y, 'husein sangat comel')\n", "results" ] }, { "cell_type": "code", "execution_count": 28, "metadata": { "scrolled": true }, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "
" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "fig = plt.figure(figsize=(8, 6))\n", "ax = fig.add_subplot(111)\n", "ax.set_title('Alignment steps')\n", "im = ax.imshow(\n", " results['alignment'].T,\n", " aspect='auto',\n", " origin='lower',\n", " interpolation='none')\n", "ax.set_yticks(range(len(results['subwords'])))\n", "labels = [item.get_text() for item in ax.get_yticklabels()]\n", "ax.set_yticklabels(results['subwords'])\n", "fig.colorbar(im, ax=ax)\n", "xlabel = 'Encoder timestep'\n", "plt.xlabel(xlabel)\n", "plt.ylabel('Decoder timestep')\n", "plt.tight_layout()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "**The text output not able to align**." ] } ], "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" } }, "nbformat": 4, "nbformat_minor": 4 }