Daichi Mochihashi
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Bayesian unsupervised word segmentation with nested Pitman-Yor language modeling
D Mochihashi, T Yamada, N Ueda
Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL …, 2009
The infinite Markov model
D Mochihashi, E Sumita
Advances in neural information processing systems 20, 1017-1024, 2007
Infinite positive semidefinite tensor factorization for source separation of mixture signals
K Yoshii, R Tomioka, D Mochihashi, M Goto
International conference on machine learning, 576-584, 2013
The NiCT-ATR statistical machine translation system for the IWSLT 2006 evaluation
R Zhang, H Yamamoto, M Paul, H Okuma, K Yasuda, Y Lepage, ...
International Workshop on Spoken Language Translation (IWSLT) 2006, 2006
Bayesian semi-supervised audio event transcription based on Markov Indian buffet process
Y Ohishi, D Mochihashi, T Matsui, M Nakano, H Kameoka, T Izumitani, ...
2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013
Beyond NMF: Time-Domain Audio Source Separation without Phase Reconstruction.
K Yoshii, R Tomioka, D Mochihashi, M Goto
ISMIR, 369-374, 2013
Inducing word and part-of-speech with Pitman-Yor hidden semi-Markov models
K Uchiumi, H Tsukahara, D Mochihashi
Proceedings of the 53rd Annual Meeting of the Association for Computational …, 2015
A Stochastic Model of Singing Voice F0 Contours for Characterizing Expressive Dynamic Components
Y Ohishi, H Kameoka, D Mochihashi, K Kashino
Thirteenth Annual Conference of the International Speech Communication …, 2012
Segmenting continuous motions with hidden semi-markov models and gaussian processes
T Nakamura, T Nagai, D Mochihashi, I Kobayashi, H Asoh, M Kaneko
Frontiers in neurorobotics 11, 67, 2017
Learning word meanings and grammar for verbalization of daily life activities using multilayered multimodal latent Dirichlet allocation and Bayesian hidden Markov models
M Attamimi, Y Ando, T Nakamura, T Nagai, D Mochihashi, I Kobayashi, ...
Advanced Robotics 30 (11-12), 806-824, 2016
Predicting word fixations in text with a CRF model for capturing general reading strategies among readers
T Hara, D Mochihashi, Y Kano, A Aizawa
Proceedings of the First Workshop on Eye-Tracking and Natural Language …, 2012
Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations
Y Ohishi, D Mochihashi, H Kameoka, K Kashino
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
Learning Nonstructural Distance Metric by Minimum Cluster Distortion
D Mochihashi, G Kikui, K Kita
Proceedings of the 2004 Conference on Empirical Methods in Natural Language …, 2004
Learning common grammar from multilingual corpus
T Iwata, D Mochihashi, H Sawada
Proceedings of the ACL 2010 conference short papers, 184-188, 2010
Learning an optimal distance metric in a linguistic vector space
D Mochihashi, G Kikui, K Kita
Systems and computers in Japan 37 (9), 12-21, 2006
LDA, a latent dirichlet allocation package
D Mochihashi
ATR Spoken Language Communication Research Laboratories, 2009
Statistical modeling of F0 dynamics in singing voices based on Gaussian processes with multiple oscillation bases
Y Ohishi, H Kameoka, D Mochihashi, H Nagano, K Kashino
Eleventh Annual Conference of the International Speech Communication Association, 2010
Context as filtering
D Mochihashi, Y Matsumoto
Advances in Neural Information Processing Systems, 907-914, 2006
Nonparametric bayesian semi-supervised word segmentation
R Fujii, R Domoto, D Mochihashi
Transactions of the Association for Computational Linguistics 5, 179-189, 2017
Probabilistic representatin of meaning
D Mochihashi
IPSJ-NL 4, 77-84, 2002
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