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{
"cells": [
{
"cell_type": "markdown",
"id": "9febd313-2446-49bb-8508-997c0b2bc0ca",
"metadata": {},
"source": [
"# Imports and configs"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "1929f9bb-5060-4530-811b-823d69a5b00f",
"metadata": {},
"outputs": [],
"source": [
"from experiment.luna.luna_record_provider import LunaRecordProvider\n",
"from sziszapangma.integration.experiment_manager import ExperimentManager\n",
"from sziszapangma.integration.repository.multi_files_experiment_repository import MultiFilesExperimentRepository\n",
"from sziszapangma.integration.path_filter import ExtensionPathFilter\n",
"from pymongo import MongoClient\n",
"from spacy.tokens.doc import Doc\n",
"import pandas as pd\n",
"from experiment.voicelab.voicelab_telco_record_provider import VoicelabTelcoRecordProvider\n",
"from sziszapangma.integration.repository.experiment_repository import ExperimentRepository\n",
"from dataclasses import dataclass"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "321a93d9-0c5d-4d42-ba8f-4b704a05d78c",
"metadata": {},
"outputs": [],
"source": [
"pd.set_option('display.max_rows', None)"
]
},
{
"cell_type": "markdown",
"id": "1b0a963f-ef3b-4f0f-bebc-68a0ea3e4f6c",
"metadata": {},
"source": [
"# Load datasets and other pipeline objects"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "bbe2a7bf-bb6d-42ee-b5ce-48e6ec7fcd94",
"metadata": {},
"outputs": [],
"source": [
"VOICELAB_DATASET_DIRECTORY = 'experiment_data/dataset/voicelab_cbiz_testset_20220322'\n",
"LUNA_DATASET_DIRECTORY = 'experiment_data/dataset/LUNA.PL'"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "4bb1a1c0-8784-4e0d-9426-13495718e087",
"metadata": {},
"outputs": [],
"source": [
"## repository collections\n",
"GOLD_TRANSCRIPT = 'gold_transcript'\n",
"GOLD_TRANSCRIPT_SPACY = 'gold_transcript_spacy'\n",
"\n",
"TECHMO_POLISH_ASR = 'techmo_polish_asr'\n",
"WORD_TECHMO_MERTICS_WER = 'word_techmo_metrics_wer'\n",
"WORD_TECHMO_ALIGNMENT_WER = 'word_techmo_alignment_wer'\n",
"TECHMO_SPACY = 'techmo_spacy'\n",
"POS_TECHMO_ALIGNMENT_WER = 'pos_techmo_alignment_wer'\n",
"POS_TECHMO_METRICS_WER = 'pos_techmo_metrics_wer'\n",
"\n",
"AJN_POLISH_ASR = 'ajn_polish_asr'\n",
"WORD_AJN_MERTICS_WER = 'word_ajn_metrics_wer'\n",
"WORD_AJN_ALIGNMENT_WER = 'word_ajn_alignment_wer'\n",
"AJN_SPACY = 'ajn_spacy'\n",
"POS_AJN_ALIGNMENT_WER = 'pos_ajn_metrics_wer'\n",
"POS_AJN_METRICS_WER = 'pos_ajn_alignment_wer'"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "d4265253-755a-4160-97f7-72604fdf41d1",
"metadata": {},
"outputs": [],
"source": [
"@dataclass\n",
"class CollectionsConfig:\n",
" config_name: str\n",
" gold_transcript: str\n",
" gold_transcript_spacy: str\n",
" asr: str\n",
" word_asr_metric_wer: str\n",
" word_asr_alignment_wer: str\n",
" asr_spacy: str\n",
" pos_asr_metric_wer: str\n",
" pos_asr_alignment_wer: str"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "950b0bb8-e5ae-46e0-97a2-a832b7c8a70f",
"metadata": {},
"outputs": [],
"source": [
"techmo_connections_config = CollectionsConfig(\n",
" config_name='TECHMO ASR',\n",
" gold_transcript=GOLD_TRANSCRIPT,\n",
" gold_transcript_spacy=GOLD_TRANSCRIPT_SPACY,\n",
" asr=TECHMO_POLISH_ASR,\n",
" word_asr_metric_wer=WORD_TECHMO_MERTICS_WER,\n",
" word_asr_alignment_wer=WORD_TECHMO_ALIGNMENT_WER,\n",
" asr_spacy=TECHMO_SPACY,\n",
" pos_asr_metric_wer=POS_TECHMO_METRICS_WER,\n",
" pos_asr_alignment_wer=POS_TECHMO_ALIGNMENT_WER\n",
")\n",
"ajn_connections_config = CollectionsConfig(\n",
" config_name='AJN ASR',\n",
" gold_transcript=GOLD_TRANSCRIPT,\n",
" gold_transcript_spacy=GOLD_TRANSCRIPT_SPACY,\n",
" asr=AJN_POLISH_ASR,\n",
" word_asr_metric_wer=WORD_AJN_MERTICS_WER,\n",
" word_asr_alignment_wer=WORD_AJN_ALIGNMENT_WER,\n",
" asr_spacy=AJN_SPACY,\n",
" pos_asr_metric_wer=POS_AJN_ALIGNMENT_WER,\n",
" pos_asr_alignment_wer=POS_AJN_METRICS_WER\n",
")"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "4dec626b-02e4-4c78-a238-04ef2f090ea5",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"voicelab examples count 801\n",
"luna examples count 501\n"
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]
}
],
"source": [
"voicelab_experiment_repository = MultiFilesExperimentRepository(\n",
" 'experiment_data/pipeline',\n",
" 'asr_benchmark_voicelab_cbiz_testset_20220322'\n",
")\n",
"luna_experiment_repository = MultiFilesExperimentRepository(\n",
" 'experiment_data/pipeline',\n",
" 'asr_benchmark_luna'\n",
")\n",
"print(f'voicelab examples count {len(voicelab_experiment_repository.get_all_record_ids())}')\n",
"print(f'luna examples count {len(luna_experiment_repository.get_all_record_ids())}')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "98c6ff1d-4fbd-4b68-9e23-ecea33852b12",
"metadata": {},
"outputs": [],
"source": [
"voicelab_record_provider = VoicelabTelcoRecordProvider(ExtensionPathFilter(\n",
" root_directory=VOICELAB_DATASET_DIRECTORY,\n",
" extension='wav',\n",
"), relation_manager_root_path='experiment_data/dataset_relation_manager_data/voicelab_cbiz_testset_20220322')\n",
"\n",
"luna_record_provider = LunaRecordProvider(ExtensionPathFilter(\n",
" root_directory=f'{LUNA_DATASET_DIRECTORY}/LUNA.PL',\n",
" extension='wav',\n",
"), relation_manager_root_path='experiment_data/dataset_relation_manager_data/luna')"
]
},
{
"cell_type": "code",
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"id": "74bf17ba-8572-4758-8116-794708b6ea08",
"metadata": {},
"outputs": [],
"source": [
"def get_gold_transcript_for(record_id: str, experiment_repository: ExperimentRepository, \n",
" collections_config: CollectionsConfig) -> str:\n",
" gold_trnascript_property = experiment_repository.get_property_for_key(\n",
" record_id, collections_config.gold_transcript)\n",
" return ' '.join([it['word'] for it in gold_trnascript_property])\n",
"\n",
"def get_asr_transcript_for(record_id: str, experiment_repository: ExperimentRepository,\n",
" collections_config: CollectionsConfig) -> str:\n",
" gold_trnascript_property = experiment_repository.get_property_for_key(record_id, collections_config.asr)\n",
" return gold_trnascript_property['full_text']\n",
"\n",
"def get_word_alignment_df(record_id: str, experiment_repository: ExperimentRepository, \n",
" collections_config: CollectionsConfig) -> pd.DataFrame:\n",
" word_alignment_wer = experiment_repository.get_property_for_key(record_id, \n",
" collections_config.word_asr_alignment_wer)\n",
" arr = [\n",
" {\n",
" 'step_type': it['step_type'],\n",
" 'reference_word_text': it['step_words']['reference_word']['text'] \n",
" if 'reference_word' in it['step_words'] else '',\n",
" 'hypothesis_word_text': it['step_words']['hypothesis_word']['text']\n",
" if 'hypothesis_word' in it['step_words'] else '',\n",
" }\n",
" for it in word_alignment_wer\n",
" ]\n",
" return pd.DataFrame(arr)\n",
"\n",
"\n",
"def get_pos_alignment_df(record_id: str, experiment_repository: ExperimentRepository, \n",
" collections_config: CollectionsConfig) -> pd.DataFrame:\n",
" pos_alignment_wer = experiment_repository.get_property_for_key(record_id, \n",
" collections_config.pos_asr_alignment_wer)\n",
" gold_transcript_spacy = experiment_repository.get_property_for_key(record_id,\n",
" collections_config.gold_transcript_spacy)\n",
" gold_trnascript_spacy_word_dict = {it['id']: it['word'] for it in gold_transcript_spacy}\n",
" asr_spacy = experiment_repository.get_property_for_key(record_id, collections_config.asr_spacy)\n",
" asr_spacy_word_dict = {it['id']: it['word'] for it in asr_spacy}\n",
" arr = [\n",
" {\n",
" 'step_type': it['step_type'],\n",
" 'reference_word_pos': it['step_words']['reference_word']['text'] \n",
" if 'reference_word' in it['step_words'] else '',\n",
" 'reference_word_text': gold_trnascript_spacy_word_dict[it['step_words']['reference_word']['id']] \n",
" if 'reference_word' in it['step_words'] else '',\n",
" 'hypothesis_word_pos': it['step_words']['hypothesis_word']['text']\n",
" if 'hypothesis_word' in it['step_words'] else '',\n",
" 'hypothesis_word_text': asr_spacy_word_dict[it['step_words']['hypothesis_word']['id']] \n",
" if 'hypothesis_word' in it['step_words'] else ''\n",
" }\n",
" for it in pos_alignment_wer\n",
" ]\n",
" return pd.DataFrame(arr)\n",
" \n",
" \n",
"def show_report_for(record_id: str, experiment_repository: ExperimentRepository,\n",
" collections_config: CollectionsConfig):\n",
" print('record_id:', record_id)\n",
" print('properties_confiog:', collections_config.config_name)\n",
" print()\n",
" print(f'gold transcript: {get_gold_transcript_for(record_id, experiment_repository, collections_config)}') \n",
" print()\n",
" print(f'asr transcript: {get_asr_transcript_for(record_id, experiment_repository, collections_config)}')\n",
" print()\n",
" print(f\"word wer {experiment_repository.get_property_for_key(record_id, collections_config.word_asr_metric_wer)}\")\n",
" print()\n",
" print(f\"pos wer {experiment_repository.get_property_for_key(record_id, collections_config.pos_asr_metric_wer)}\")\n",
" print()\n",
" display(get_word_alignment_df(record_id, experiment_repository, collections_config))\n",
" print()\n",
" display(get_pos_alignment_df(record_id, experiment_repository, collections_config))\n",
" print('--------------------------------------------------------------')\n",
" print('--------------------------------------------------------------')\n",
" print('--------------------------------------------------------------')"
]
},
{
"cell_type": "markdown",
"id": "327bbc4b-7bcb-4a28-8d4a-22660ecaf6c2",
"metadata": {},
"source": [
"# Report for LUNA and TECHMO ASR"
]
},
{
"cell_type": "code",
"id": "3395e091-3488-4b49-aede-af15a0055a8b",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"record_id: LUNA.PL__KIEDY__DOBRAJAKOSC__F__2_2007-03-23_22_26_40__2_2007-03-23_22_26_40\n",
"gold transcript: dobry wieczór xxx słucham dobry wieczór panu mam do pana prośbę proszę zobaczyć z pętli Szczęśliwickiej sto osiemdziesiąt cztery jutro w sobotę o dwunastej i trzynastej proszę podać rozkład dwunasta dwie tak dwadzieścia dwie tak czterdzieści dwie trzynasta tak samo dziękuję panu dobranoc proszę bardzo dobranoc\n",
"asr transcript: dobry wieczór słucham dobry wieczór panu mam do pana prośbę proszę zobaczyć z pętli szczęśliwickiej 100 84 jutro w sobotę o dwunastej i trzynastej proszę podać dwunasta dwie tak 20 dwie tak 40 dwie trzynasta tak samo dziękuję dobranoc\n",
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"\n"
]
},
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>step_type</th>\n",
" <th>reference_word_text</th>\n",
" <th>hypothesis_word_text</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>CORRECT</td>\n",
" <td>dobry</td>\n",
" <td>dobry</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>CORRECT</td>\n",
" <td>DELETION</td>\n",
" <td>xxx</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>CORRECT</td>\n",
" <td>dobry</td>\n",
" <td>dobry</td>\n",
" </tr>\n",
" <tr>\n",
" <th>5</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>6</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>7</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>8</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>9</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>10</th>\n",
" <td>CORRECT</td>\n",
" <td>CORRECT</td>\n",
" <td>proszę</td>\n",
" <td>proszę</td>\n",
" <td>CORRECT</td>\n",
" <td>zobaczyć</td>\n",
" <td>zobaczyć</td>\n",
" </tr>\n",
" <tr>\n",
" <th>13</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>14</th>\n",
" <td>CORRECT</td>\n",
" <td>DELETION</td>\n",
" <td>Szczęśliwickiej</td>\n",
" <td></td>\n",
" <td>SUBSTITUTION</td>\n",
" <td>sto</td>\n",
" <td>szczęśliwickiej</td>\n",
" <td>SUBSTITUTION</td>\n",
" <td>osiemdziesiąt</td>\n",
" <td>100</td>\n",
" <td>SUBSTITUTION</td>\n",
" <td>cztery</td>\n",
" <td>84</td>\n",
" </tr>\n",
" <tr>\n",
" <th>19</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>20</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>21</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>22</th>\n",
" <td>CORRECT</td>\n",
" <td>CORRECT</td>\n",
" <td>dwunastej</td>\n",
" <td>dwunastej</td>\n",
" <td>CORRECT</td>\n",
" <td>i</td>\n",
" <td>i</td>\n",
" <td>CORRECT</td>\n",
" <td>trzynastej</td>\n",
" <td>trzynastej</td>\n",
" </tr>\n",
" <tr>\n",
" <th>26</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>27</th>\n",
" <td>CORRECT</td>\n",
" <td>DELETION</td>\n",
" <td>rozkład</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>29</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>30</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>31</th>\n",
" <td>CORRECT</td>\n",
" <td>SUBSTITUTION</td>\n",
" <td>dwadzieścia</td>\n",
" <td>20</td>\n",
" </tr>\n",
" <tr>\n",
" <th>33</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>34</th>\n",
" <td>CORRECT</td>\n",
" <td>SUBSTITUTION</td>\n",
" <td>czterdzieści</td>\n",
" <td>40</td>\n",
" </tr>\n",
" <tr>\n",
" <th>36</th>\n",
" <td>CORRECT</td>\n",
" <td>CORRECT</td>\n",
" <td>trzynasta</td>\n",
" <td>trzynasta</td>\n",
" <td>CORRECT</td>\n",
" <td>tak</td>\n",
" <td>tak</td>\n",
" </tr>\n",
" <tr>\n",
" <th>39</th>\n",
" <td>CORRECT</td>\n",
" </tr>\n",
" <tr>\n",
" <th>40</th>\n",
" <td>CORRECT</td>\n",
" <td>DELETION</td>\n",
" <td>panu</td>\n",
" <td></td>\n",
" <td>DELETION</td>\n",
" <td>dobranoc</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>43</th>\n",
" <td>DELETION</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>44</th>\n",
" <td>DELETION</td>\n",
" <td></td>\n",
" </tr>\n",
" <tr>\n",
" <th>45</th>\n",
" <td>CORRECT</td>\n",
" <td>dobranoc</td>\n",
" <td>dobranoc</td>\n",
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" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
" step_type reference_word_text hypothesis_word_text\n",
"0 CORRECT dobry dobry\n",
"1 CORRECT wieczór wieczór\n",
"2 DELETION xxx \n",
"3 CORRECT słucham słucham\n",
"4 CORRECT dobry dobry\n",
"5 CORRECT wieczór wieczór\n",
"6 CORRECT panu panu\n",
"7 CORRECT mam mam\n",
"8 CORRECT do do\n",
"9 CORRECT pana pana\n",
"10 CORRECT prośbę prośbę\n",
"11 CORRECT proszę proszę\n",
"12 CORRECT zobaczyć zobaczyć\n",
"13 CORRECT z z\n",
"14 CORRECT pętli pętli\n",
"15 DELETION Szczęśliwickiej \n",
"16 SUBSTITUTION sto szczęśliwickiej\n",
"17 SUBSTITUTION osiemdziesiąt 100\n",
"18 SUBSTITUTION cztery 84\n",
"19 CORRECT jutro jutro\n",
"20 CORRECT w w\n",
"21 CORRECT sobotę sobotę\n",
"22 CORRECT o o\n",
"23 CORRECT dwunastej dwunastej\n",
"24 CORRECT i i\n",
"25 CORRECT trzynastej trzynastej\n",
"26 CORRECT proszę proszę\n",
"27 CORRECT podać podać\n",
"28 DELETION rozkład \n",
"29 CORRECT dwunasta dwunasta\n",
"30 CORRECT dwie dwie\n",
"31 CORRECT tak tak\n",
"32 SUBSTITUTION dwadzieścia 20\n",
"33 CORRECT dwie dwie\n",
"34 CORRECT tak tak\n",
"35 SUBSTITUTION czterdzieści 40\n",
"36 CORRECT dwie dwie\n",
"37 CORRECT trzynasta trzynasta\n",
"38 CORRECT tak tak\n",
"39 CORRECT samo samo\n",
"40 CORRECT dziękuję dziękuję\n",
"41 DELETION panu \n",
"42 DELETION dobranoc \n",
"43 DELETION proszę \n",
"44 DELETION bardzo \n",
"45 CORRECT dobranoc dobranoc"
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1000
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