Statistical parametric speech synthesis von Zen, Heiga, Tokuda, Keiichi, Black, Alan W.

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Speech Synthesis Based on Hidden Markov Models von Tokuda, Keiichi, Nankaku, Yoshihiko, Toda, Tomoki, Zen, Heiga, Yamagishi, Junichi, Oura, Keiichiro

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Statistical mapping between articulatory movements and acoustic spectrum using a Gaussian mixture model von Toda, Tomoki, Black, Alan W., Tokuda, Keiichi

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Continuous Stochastic Feature Mapping Based on Trajectory HMMs von Zen, Heiga, Nankaku, Yoshihiko, Tokuda, Keiichi

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PeriodNet: A Non-Autoregressive Raw Waveform Generative Model With a Structure Separating Periodic and Aperiodic Components von Hono, Yukiya, Takaki, Shinji, Hashimoto, Kei, Oura, Keiichiro, Nankaku, Yoshihiko, Tokuda, Keiichi

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Mel-Cepstrum-Based Quantization Noise Shaping Applied to Neural-Network-Based Speech Waveform Synthesis von Yoshimura, Takenori, Hashimoto, Kei, Oura, Keiichiro, Nankaku, Yoshihiko, Tokuda, Keiichi

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Reformulating the HMM as a trajectory model by imposing explicit relationships between static and dynamic feature vector sequences von Zen, Heiga, Tokuda, Keiichi, Kitamura, Tadashi

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A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural $F_0$ Model for Statistical Parametric Speech Synthesis von Wang, Xin, Takaki, Shinji, Yamagishi, Junichi, King, Simon, Tokuda, Keiichi

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A Bayesian Approach to Image Recognition Based on Separable Lattice Hidden Markov Models von SAWADA, Kei, TAMAMORI, Akira, HASHIMOTO, Kei, NANKAKU, Yoshihiko, TOKUDA, Keiichi

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The Nitech-NAIST HMM-Based Speech Synthesis System for the Blizzard Challenge 2006 von ZEN, Heiga, TODA, Tomoki, TOKUDA, Keiichi

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Integration of Spectral Feature Extraction and Modeling for HMM-Based Speech Synthesis von NAKAMURA, Kazuhiro, HASHIMOTO, Kei, NANKAKU, Yoshihiko, TOKUDA, Keiichi

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Impacts of machine translation and speech synthesis on speech-to-speech translation von Hashimoto, Kei, Yamagishi, Junichi, Byrne, William, King, Simon, Tokuda, Keiichi

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Image Recognition Based on Separable Lattice Trajectory 2-D HMMs von TAMAMORI, Akira, NANKAKU, Yoshihiko, TOKUDA, Keiichi

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A Bayesian Framework Using Multiple Model Structures for Speech Recognition von SHIOTA, Sayaka, HASHIMOTO, Kei, NANKAKU, Yoshihiko, TOKUDA, Keiichi

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Global variance modeling on frequency domain delta LSP for HMM-based speech synthesis von Shifeng Pan, Nankaku, Yoshihiko, Tokuda, Keiichi, Jianhua Tao

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

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Performance evaluation of the speaker-independent HMM-based speech synthesis system "HTS 2007" for the Blizzard Challenge 2007 von Yamagishi, J., Nose, T., Zen, H., Toda, T., Tokuda, K.

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Bayesian Context Clustering Using Cross Validation for Speech Recognition von HASHIMOTO, Kei, ZEN, Heiga, NANKAKU, Yoshihiko, LEE, Akinobu, TOKUDA, Keiichi

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On the state definition for a trainable excitation model in HMM-based speech synthesis von Maia, R., Toda, T., Tokuda, K., Sakai, S., Nakamura, S.

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

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