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Statistical models for HMM/ANN hybrids
Type of publication: Idiap-RR
Citation: Garner_Idiap-RR-11-2013
Number: Idiap-RR-11-2013
Year: 2013
Month: 4
Institution: Idiap
Abstract: We present a theoretical investigation into the use of normalised artificial neural network (ANN) outputs in the context of hidden Markov models (HMMs). The work is motivated by the pursuit of a more theoretically rigorous understanding of the Kullback-Liebler (KL)-HMM. Two possible models are considered based respectively on the HMM states storing categorical distributions and Dirichlet distributions. Training and recognition algorithms are derived, and possible relationships with KL-HMM are briefly discussed.
Projects Idiap
Authors Garner, Philip N.
Imseng, David
Added by: [ADM]
Total mark: 0
  • Garner_Idiap-RR-11-2013.pdf (MD5: 02f8e69fb5500d024f622c667299442d)