align-phonemes 0.12

Phoneme Aligner

# Phoneme Forced Aligner



This package was designed to intake human data from Makin Lab (.txt and .wav file from the block needed phoneme alignment) and ouput a JSON file with the mike-on and mike-off times and the alignments (start time, transcription method, production 1, phoneme list 1, production 2, phoneme list 2).



## Getting Started



These instructions will give you a copy of the project up and running on

your local machine for development and testing purposes.



### Installing



This is a pip installable package. Therefore, run the following command:

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## Functions



### get_forced_aligment()

  input: block txt path, block wav path, output transcription json path, transcription method, critical error threshold, verbose

  functionality: 

    - determine which transcript will be used based on transcription method input (Critical Error, Wav2Vec, Original)

    - run Montreal Forced aligner (input trials directory and verbose and returns text grid)

    - demarcate JSON

    - clean directories

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### demarcate_to_json()

  input: trial directory, block path, text grid directory, output json file path

  functionality: 

  - read textgrid 

  - use ER-demarcation Algorithm to denote phoneme split

  - use ER-demarcation to denote transcript split

  - write to Phoneme Json (see output format)

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### clean_directories()

  input: list of temp directories created

  functionality: clean and remove directory

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### parse_block()

  input: wav file path, txt file path, trials directory, verbose

  functionality: 

  - create a Trial Directory (same name as the label): each trial is a .wav and a .txt

  - Trial Directory:

	Trials dir:

		trial.wav

		trial.txt

		...

	Trial transcription method .json



  TranscriptionMethod.json format:

  {

    trial start-time (float): method ('wav2vec' or 'original'),

    ...

  }

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## Notes

For a more in depth explanation in the methods used in this package, as well as the reasoning behind, refer back to the paper.



## Authors



  - **James Willian Stonebridge** 

  - **Herbert Alexander de Bruyn**

  - **Tyler Dierckman**



## License



This project is licensed under the MIT License.



## Acknowledgments



  - Varun implemented the original code for Wav2Vec2 based transcription used in this package.