> > I found the following slide describing the relationship between HMM > and WFST:
That is not a good way of integrating HMMs and WFSTs. Please see the original literature on WFSTs and speech recognition for how to do this. The following paper, for example, describes the combination of Gaussian mixture models with WFSTs: Weighted finite-state transducers in speech recognition<http://www.isca-speech.org/archive/asr2000/asr0_097.html>- ►*nyu.edu <http://www.cs.nyu.edu/%7Emohri/postscript/csl01.pdf> [PDF] * M Mohri, F Pereira, M Riley - ASR2000-Automatic Speech Recognition: Challenges for the new …, 2000 - ISCA Tom --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "ocropus" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [email protected] For more options, visit this group at http://groups.google.com/group/ocropus?hl=en -~----------~----~----~----~------~----~------~--~---
