justinhunt

Thanks for the reply and explanation. It is very helpful. Our app is old, started well prior to whisper. But we have updated it regularly as useful tech came along. I will check out CTC Viterbi and error-align !

This is very interesting. I do something related: matching student oral reading transcripts back against the text they were assigned to read.Students will misread then re-read a sentence, skip sentences, skip paragraphs etc.

I think its similar because we both seek to assign audio time stamps to sentences and words.

But I wonder why your forced alignment algorithm is so heavy duty. (My head started to spin at CTC emissions. ) Probably yours is just way more thorough than mine,

My simplistic approach would have been to transcribe the audio. And then run a differencing script chapter by chapter matching the book text with the audio transcript. And then do something similar intra chapter to get sentence and word level time stamps.

Its worth noting the original article was written July 2025. Not June 2026