So leave out Kaldi, Gentle, Montreal Fixed Alignment, etc. All those need detailed phonetic dictionaries etc which are only available for the most popular languages.

How does ML help if you can’t leverage ANY of the existing language toolsets? Does anyone have a good guess at possible ML solutions, can be semi supervised. Keep in mind when most of the work on forced alignment was done, it predates modern ML like deep neural networks etc.

Just want to hear your crazy ideas and hopefully I can take one and run with it. Am stumped right now with about 200 hours of unlabelled data with nothing to do with it except manual labelling which is soul crushing.