Search Results - Nankaku, Y.

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  1. 1
    On the Use of Phonetic Information for Mapping from Articulatory Movements to Vocal Tract Spectrum

    On the Use of Phonetic Information for Mapping from Articulatory Movements to Vocal Tract Spectrum by Nakamura, K., Toda, T., Nankaku, Y., Tokuda, K.

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  2. 2
    Product of Experts for Statistical Parametric Speech Synthesis

    Product of Experts for Statistical Parametric Speech Synthesis by Heiga Zen, Gales, M. J. F., Nankaku, Y., Tokuda, K.

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  3. 3
    Pitch adaptive training for hmm-based singing voice synthesis

    Pitch adaptive training for hmm-based singing voice synthesis by Oura, K., Mase, A., Nankaku, Y., Tokuda, K.

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  4. 4
    A Bayesian approach to HMM-based speech synthesis

    A Bayesian approach to HMM-based speech synthesis by Hashimoto, K., Zen, H., Nankaku, Y., Masuko, T., Tokuda, K.

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  5. 5
    Face recognition based on extended separable lattice 2-D HMMS

    Face recognition based on extended separable lattice 2-D HMMS by Kumaki, K., Nankaku, Y., Tokuda, K.

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  6. 6
    Factor analyzed voice models for HMM-based speech synthesis

    Factor analyzed voice models for HMM-based speech synthesis by Kazumi, K, Nankaku, Y, Tokuda, K

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  7. 7
    A model structure integration based on a Bayesian framework for speech recognition

    A model structure integration based on a Bayesian framework for speech recognition by Shiota, S., Hashimoto, K., Nankaku, Y., Tokuda, K.

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  8. 8
    Face recognition based on separable lattice 2-D HMMS using variational bayesian method

    Face recognition based on separable lattice 2-D HMMS using variational bayesian method by Sawada, K., Tamamori, A., Hashimoto, K., Nankaku, Y., Tokuda, K.

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  9. 9
    Normalized training for HMM-based visual speech recognition

    Normalized training for HMM-based visual speech recognition by Nankaku, Y., Tokuda, K., Kitamura, T., Kobayashi, T.

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  10. 10
    Acoustic modeling with contextual additive structure for HMM-based speech recognition

    Acoustic modeling with contextual additive structure for HMM-based speech recognition by Nankaku, Y., Nakamura, K., Zen, H., Tokuda, K.

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  11. 11
    Stereo-based stochastic noise compensation based on trajectory GMMS

    Stereo-based stochastic noise compensation based on trajectory GMMS by Zen, H., Nankaku, Y., Tokuda, K.

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  12. 12
    Face Recognition using Hidden Markov Eigenface Models

    Face Recognition using Hidden Markov Eigenface Models by Nankaku, Y., Tokuda, K.

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  13. 13
    Voice conversion based on simultaneous modelling of spectrum and F0

    Voice conversion based on simultaneous modelling of spectrum and F0 by Yutani, K., Uto, Y., Nankaku, Y., Lee, A., Tokuda, K.

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  14. 14
    Hidden Semi-Markov Model Based Speech Recognition System using Weighted Finite-State Transducer

    Hidden Semi-Markov Model Based Speech Recognition System using Weighted Finite-State Transducer by Oura, K., Zen, H., Nankaku, Y., Lee, A., Tokuda, K.

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  15. 15
    Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler

    Estimating Trajectory Hmm Parameters Using Monte Carlo Em With Gibbs Sampler by Zen, H., Nankaku, Y., Tokuda, K., Kitamura, T.

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  16. 16
    Face Recognition Based on Separable Lattice HMMS

    Face Recognition Based on Separable Lattice HMMS by Kurata, D., Nankaku, Y., Tokuda, K., Kitamura, T., Ghahramani, Z.

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  17. 17
    Sparse KPCA for feature extraction in speech recognition

    Sparse KPCA for feature extraction in speech recognition by Lima, A., Zen, H., Nankaku, Y., Tokuda, K., Kitamura, T., Resende, F.G.

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  18. 18
    Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification

    Parameter sharing and minimum classification error training of mixtures of factor analyzers for speaker identification by Yamamoto, H., Nankaku, Y., Miyajima, C., Tokuda, K., Kitamura, T.

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  19. 19
    Cross-lingual speaker adaptation for HMM-based speech synthesis considering differences between language-dependent average voices

    Cross-lingual speaker adaptation for HMM-based speech synthesis considering differences between language-dependent average voices by Xianglin Peng, Oura, K, Nankaku, Y, Tokuda, K

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  20. 20
    Speech recognition using voice-characteristic-dependent acoustic models

    Speech recognition using voice-characteristic-dependent acoustic models by Suzuki, H., Zen, H., Nankaku, Y., Miyajima, C., Tokuda, K., Kitamura, T.

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