3 ms·
Weighted Finite State Transducers in speech recognition: https://scholar.google.com/scholar?q=finite+state+transducer+speech+recognition&hl=en&as_sdt=0&as_vis=1
by hiddencost 3y ago
Weighted Finite State Transducers in speech recognition:
https://scholar.google.com/scholar?q=finite+state+transducer+speech+recognition&hl=en&as_sdt=0&as_vis=1&oi=scholart#d=gs_qabs&t=1693435747591&u=%23p%3DdJXQEQWp23MJ https://scholar.google.com/scholar?q=finite+state+transducer...
Modified Kneser-Ney smoothing:
https://en.m.wikipedia.org/wiki/Kneser%E2%80%93Ney_smoothing#:~:text=Modified%20Kneser%E2%80%93Ney%20smoothing&text=Computational%20efficiency%20and%20scaling%20to,a%20performant%20open%2Dsource%20implementation https://en.m.wikipedia.org/wiki/Kneser%E2%80%93Ney_smoothing....
We've been here before, neural LMs replaced that generation of models.
- blackkettle 3y agoand you can still combine them for tasks that require strict output control (e.g. alphanumeric sequence recognition, noisy keyword spotting, strict grammars, etc).