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Selection of Shared-State Hidden Markov Model Structure Using Bayesian Criterion.

, , , and . IEICE Trans. Inf. Syst., 88-D (1): 1-9 (2005)

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Issues in Predicting User Satisfaction Transitions in Dialogues: Individual Differences, Evaluation Criteria, and Prediction Models., , , and . IWSDS, volume 6392 of Lecture Notes in Computer Science, page 48-60. Springer, (2010)Integrated training for spotting Japanese phonemes using large phonemic time-delay neural networks., , , and . ICASSP, page 449-452. IEEE, (1990)Large-vocabulary spoken word recognition using time-delay neural network phoneme spotting and predictive lr-parsing., , and . Syst. Comput. Jpn., 22 (1): 99-108 (1991)Constructing shared-state hidden Markov models based on a Bayesian approach., , , and . INTERSPEECH, page 2669-2672. ISCA, (2002)Connected digit recognition in spontaneous speech., , , , and . EUROSPEECH, page 923-926. ISCA, (1997)Improvement in robustness of speech feature extraction method using sub-band based periodicity and aperiodicity decomposition., , , and . INTERSPEECH, page 937-940. ISCA, (2004)Analysis of Listening-Oriented Dialogue for Building Listening Agents., , , , and . SIGDIAL Conference, page 124-127. The Association for Computer Linguistics, (2009)Open-domain Utterance Generation for Conversational Dialogue Systems using Web-scale Dependency Structures., , , and . SIGDIAL Conference, page 334-338. The Association for Computer Linguistics, (2013)Learning to control listening-oriented dialogue using partially observable markov decision processes., , , and . ACM Trans. Speech Lang. Process., 10 (4): 15:1-15:20 (2013)Open-domain utterance generation using phrase pairs based on dependency relations., , , and . SLT, page 60-65. IEEE, (2014)