IEICE Trans

Yoshihiko NANKAKU

A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models Kei SAWADA Akira TAMAMORI Kei HASHIMOTO Yoshihiko NANKAKU Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2016/12/01 Vol. E99-D No. 12 pp. 3119-3131 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: image recognition, hidden Markov models, separable lattice hidden Markov models, Bayesian approach, deterministic annealing,
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Image Recognition Based on Separable Lattice Trajectory 2-D HMMs Akira TAMAMORI Yoshihiko NANKAKU Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2014/07/01 Vol. E97-D No. 7 pp. 1842-1854 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: image recognition, hidden Markov models, separable lattice 2-D HMMs, trajectory HMMs,
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Integration of Spectral Feature Extraction and Modeling for HMM-Based Speech Synthesis Kazuhiro NAKAMURA Kei HASHIMOTO Yoshihiko NANKAKU Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2014/06/01 Vol. E97-D No. 6 pp. 1438-1448 Type of Manuscript: Special Section PAPER (Special Section on Advances in Modeling for Real-world Speech Information Processing and its Application) Category: HMM-based Speech Synthesis Keyword: integrative model, HMM-based speech synthesis, acoustic modeling, mel-cepstral analysis, trajectory HMM,
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A Bayesian Framework Using Multiple Model Structures for Speech Recognition Sayaka SHIOTA Kei HASHIMOTO Yoshihiko NANKAKU Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2013/04/01 Vol. E96-D No. 4 pp. 939-948 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: speech recognition, acoustic modeling, Bayesian approach, model structure integration, deterministic annealing,
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An Extension of Separable Lattice 2-D HMMs for Rotational Data Variations Akira TAMAMORI Yoshihiko NANKAKU Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2012/08/01 Vol. E95-D No. 8 pp. 2074-2083 Type of Manuscript: PAPER Category: Pattern Recognition Keyword: image recognition, hidden Markov models, variational method,
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Bayesian Context Clustering Using Cross Validation for Speech Recognition Kei HASHIMOTO Heiga ZEN Yoshihiko NANKAKU Akinobu LEE Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2011/03/01 Vol. E94-D No. 3 pp. 668-678 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: Bayesian approach, speech recognition, HMM, context clustering, cross validation,
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A Covariance-Tying Technique for HMM-Based Speech Synthesis Keiichiro OURA Heiga ZEN Yoshihiko NANKAKU Akinobu LEE Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2010/03/01 Vol. E93-D No. 3 pp. 595-601 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: HMM, speech synthesis, decision tree, context-clustering, MDL criterion, embedded device,
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A Fully Consistent Hidden Semi-Markov Model-Based Speech Recognition System Keiichiro OURA Heiga ZEN Yoshihiko NANKAKU Akinobu LEE Keiichi TOKUDA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2008/11/01 Vol. E91-D No. 11 pp. 2693-2700 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: speech recognition, hidden Markov model, hidden semi-Markov model, weighted finite-state transducer,
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Parameter Sharing in Mixture of Factor Analyzers for Speaker Identification Hiroyoshi YAMAMOTO Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/03/01 Vol. E88-D No. 3 pp. 418-424 Type of Manuscript: Special Section PAPER (Special Section on Corpus-Based Speech Technologies) Category: Feature Extraction and Acoustic Medelings Keyword: speaker identification, GMM, mixture of factor analyzers, parameter sharing, minimum classification error training,
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Deterministic Annealing EM Algorithm in Acoustic Modeling for Speaker and Speech Recognition Yohei ITAYA Heiga ZEN Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/03/01 Vol. E88-D No. 3 pp. 425-431 Type of Manuscript: Special Section PAPER (Special Section on Corpus-Based Speech Technologies) Category: Feature Extraction and Acoustic Medelings Keyword: DAEM algorithm, acoustic modeling, EM algorithm, GMMs, HMMs,
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Continuous Speech Recognition Based on General Factor Dependent Acoustic Models Hiroyuki SUZUKI Heiga ZEN Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/03/01 Vol. E88-D No. 3 pp. 410-417 Type of Manuscript: Special Section PAPER (Special Section on Corpus-Based Speech Technologies) Category: Feature Extraction and Acoustic Medelings Keyword: continuous speech recognition, triphone HMMs, context clustering, Bayesian networks, voice characteristic, noise environment,
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Applying Sparse KPCA for Feature Extraction in Speech Recognition Amaro LIMA Heiga ZEN Yoshihiko NANKAKU Keiichi TOKUDA Tadashi KITAMURA Fernando G. RESENDE
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2005/03/01 Vol. E88-D No. 3 pp. 401-409 Type of Manuscript: Special Section PAPER (Special Section on Corpus-Based Speech Technologies) Category: Feature Extraction and Acoustic Medelings Keyword: kernel, sparsity, principal component analysis, feature extraction, speech recognition,
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On the Use of Kernel PCA for Feature Extraction in Speech Recognition Amaro LIMA Heiga ZEN Yoshihiko NANKAKU Chiyomi MIYAJIMA Keiichi TOKUDA Tadashi KITAMURA
Publication: IEICE TRANSACTIONS on Information and Systems Publication Date: 2004/12/01 Vol. E87-D No. 12 pp. 2802-2811 Type of Manuscript: PAPER Category: Speech and Hearing Keyword: kernel, feature space, principal component analysis, feature extraction, speech recognition,
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