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    "info": {
        "author": "Colin Prepscius",
        "author_email": "colinprepscius@gmail.com",
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        "description": "# TIMIT\n\nThe TIMIT database, in brief, contains audio recordings of sentences spoken\nby a set of people. It also includes word and phoneme transcriptions, along with\ntheir exact positions, as ranges, within the audio files.\n\nAs such, it is an interesting target for ML: we are given high-grade audio recordings as well as real-time phoneme and word transcriptions (or guesses at them, anyway).\n\nThe actual TIMIT database is NOT included, and is not free. Get it here:\nhttps://catalog.ldc.upenn.edu/LDC93S1. This library merely adds\nconvenience, parsing, sampling, drawing, etc.\n\n![alt text](https://github.com/colinator/timit_utils/blob/master/advert.png \"Example output\")\n\n\n\n# timit_utils\n\nThe code herein can lazily load, parse, and expose the TIMIT database\nof spoken audio, word and phoneme transcriptions. The layout of the TIMIT file system looks like this:\n\n![alt text](https://github.com/colinator/timit_utils/blob/master/timitfiles.png \"Your file system should look like this\")\n\nThis library models the data with several classes:\n\n* Corpus (such as '../TIMIT', contains two SubCorpuses: train and test)\n* SubCorpus (such as 'train'|'test', contains several Regions)\n* Region (such as 'DR1', contains several Persons)\n* Person (such as 'Name:CJF0,Female')\n* Sentence (such as 'SA1', contains audio, word, and phoneme transcriptions as numpy arrays)\n\nAll the above give many ways to index, iterate, parse, search, and expose the data as pandas Dataframes.\n\n* various audio sampling, padding routines, mel filterbank frequency extractions, and a quick display system\n\n\n# Installation\n\n`pip install timit_utils`\n\ntimit_utils requires numpy, pandas, matplotlib, scipy, python_speech_features, and SoundFile.\n\n\n\n# Example usage (i.e. in jupyter)\n\n```code\n%matplotlib inline\nimport timit_utils as tu\nimport timit_utils.audio_utils as au\nimport timit_utils.drawing_utils as du\n\ncorpus = tu.Corpus('../TIMIT')\nsentence = corpus.train.sentences_by_phone_df('aa').sentence[0]\ndu.DrawVerticalPanels([du.AudioPanel(sentence.raw_audio, show_x_axis=True),\n                       du.WordsPanel(sentence.words_df, sentence.raw_audio.shape[0], show_x_axis=True),\n                       du.PhonesPanel(sentence.phones_df, sentence.raw_audio.shape[0])\n                      ])\n```\n\nFull usage here:\nhttps://github.com/colinator/timit_utils/blob/master/timit_utils_demonst.ipynb\n\n\n",
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        "name": "timit-utils",
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