Dear all,
I have used chain model to get a good ASR system and use online2-wav-nnet3-latgen-faster to decode input utterance, the asr result is good. Thanks for sharing this awesome project.
Based on my understanding, online2-wav-nnet3-latgen-faster is used to produce a lattice, where some posteriors are stored. So my question is how to get word-level and sentence-level confidence score from produced lattice? For example, assuming decoded transcription is "today is sunshine", so how to get the confidence score of each word and the whole sentence?
Many thanks
Jiajia