Linguistics Software

Forced Alignment Models

I've created the following forced alignment dictionaries, acoustic models, and g2p models:

Catalan MFA Bundle 

• The bundle includes a Catalan Pronunciation Dictionary, Acoustic Model, and G2P Model for the Montreal Forced Aligner (McAuliffe et al. 2017). It also includes phone-level alignments of the training data, for easy acoustical analysis!

• Trained on 90 hours of clean training data from the ParlamentParla Speech Corpus

• The dictionary was generated using the WikiPron Web Scraper Catalan Broad Transcription dataset (Lee et al. 2020) and expanded using the G2P model to generate pronunciations of additional out-of-vocabulary tokens from the ParlamentParla Corpus.

• The dictionary contains pronunciations for 155,595 words and can easily be expanded using the G2P model. Two versions of the dictionary exist - one with word probabilities and one without, for easy customizability.

Access the Catalan MFA Bundle Here

Onset of Nasalization:

This Praat script takes a phoneme-by-phoneme aligned TextGrid file and scans it for every instance of a /VN/ sequence. Then a variety of phonetic cues for nasalization are analyzed by the script to make a prediction on when the start of anticipatory vowel nasalization begins. It can analyze multiple files at once.

It's particularly useful if you want to analyze variation or patterns on vowel nasalization but don't have any articulatory data from a nasometer or velotrace. No speaker-specific training models required.

Note: I'm still in the works for optimizing and testing the accuracy of the software's predictions. I'm also developing a much more user-friendly application and interface for nasal analysis which will be released in the coming months. If you have any questions about acoustic analyses of nasal vowels or using this software, please email me and I am happy to help.

View the Onset of Nasalization program here

SRT to TextGrid:

This script cleans up silent intervals in .srt subtitle files and converts them into sentence-by-sentence parsed TextGrids. It can analyze multiple files at once.

It's particularly useful if you run your audio files through AI transcribers like Otter.ai or Sonix.ai or are using subtitle files from a movie or TV show and need to convert your transcriptions into a TextGrid. A great first step for preparing to force-align your data!

View the SRT to TextGrid converter here

View a corpus processing workflow that uses the SRT to TextGrid program (and teaches how to do forced alignment!)