9 citations · 21 across the 17 of their papers we have counts for
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cs.LG2023
End-to-End Training of a Neural HMM with Label and Transition Probabilities
Daniel Mann, Tina Raissi, Wilfried Michel +2
We investigate a novel modeling approach for end-to-end neural network training using hidden Markov models (HMM) where the transition probabilities between hidden states are modele…
cs.SD2023
Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think
Tina Raissi, Christoph Lüscher, Moritz Gunz +2
Building competitive hybrid hidden Markov model~(HMM) systems for automatic speech recognition~(ASR) requires a complex multi-stage pipeline consisting of several training criteria…