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@TECHREPORT{Garner_Idiap-RR-11-2013,
                      author = {Garner, Philip N. and Imseng, David},
                    projects = {Idiap},
                       month = {4},
                       title = {Statistical models for HMM/ANN hybrids},
                        type = {Idiap-RR},
                      number = {Idiap-RR-11-2013},
                        year = {2013},
                 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.},
                         pdf = {https://publications.idiap.ch/attachments/reports/2013/Garner_Idiap-RR-11-2013.pdf}
}