Corpus ID: 28558623

Inverted HMM - a Proof of Concept

@inproceedings{Doetsch2016InvertedH,
  title={Inverted HMM - a Proof of Concept},
  author={P. Doetsch and H. Ney and Stefan Hegselmann and R. Schl{\"u}ter},
  booktitle={NIPS 2016},
  year={2016}
}
In this work, we propose an inverted hidden Markov model (HMM) approach to automatic speech and handwriting recognition that naturally incorporates discriminative, artificial neural network based label distributions. [...] Key Method The approach does not assume the usual decomposition into a separate (generative) acoustic model and a language model, and allows for a variety of model assumptions, incl. statistical variants of attention.Expand
Inverted Alignments for End-to-End Automatic Speech Recognition
Sequence Modeling and Alignment for LVCSR-Systems
End-to-End Neural Segmental Models for Speech Recognition

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