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Robust Speaker-Adaptive HMM-Based Text-to-Speech Synthesis.

J. Yamagishi, T. Nose, H. Zen, Z. Ling, T. Toda, K. Tokuda, S. King, and S. Renals. IEEE Trans. Audio, Speech & Language Processing, 17 (6): 1208-1230 (2009)

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Dr. rer. nat. Shiang-Yu Huang University of Stuttgart

Haoyu Zheng University of Stuttgart

Jianshu Zheng University of Stuttgart

Zhenxiang Huang University of Stuttgart

Jingjing Huang University of Stuttgart

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Asynchronous F0 and spectrum modeling for HMM-based speech synthesis.C. Wang, Z. Ling, and L. Dai. INTERSPEECH, page 404-407. ISCA, (2009)Articulatory control of HMM-based parametric speech synthesis driven by phonetic knowledge.Z. Ling, K. Richmond, J. Yamagishi, and R. Wang. INTERSPEECH, page 573-576. ISCA, (2008)Restoring high frequency spectral envelopes using neural networks for speech bandwidth extension.Y. Gu, and Z. Ling. IJCNN, page 1-8. IEEE, (2015)Compression of speech database by feature separation and pattern clustering using STRAIGHT.Z. Ling, Y. Hu, Z. Shuang, and R. Wang. INTERSPEECH, ISCA, (2004)LIP movement generation using restricted Boltzmann machines for visual speech synthesis.Z. Liu, Z. Ling, and L. Dai. ChinaSIP, page 606-610. IEEE, (2015)Combing Context and Commonsense Knowledge Through Neural Networks for Solving Winograd Schema Problems.Q. Liu, H. Jiang, Z. Ling, X. Zhu, S. Wei, and Y. Hu. CoRR, (2016)Sequence-to-Sequence Acoustic Modeling for Voice Conversion.J. Zhang, Z. Ling, L. Liu, Y. Jiang, and L. Dai. CoRR, (2018)GTDNN-Based Voice Conversion Using DAEs with Binary Distributed Hidden Units.Y. Ding, Y. Hu, and Z. Ling. ISCSLP, page 1-5. IEEE, (2018)DNN-based stochastic postfilter for HMM-based speech synthesis.L. Chen, T. Raitio, C. Valentini-Botinhao, J. Yamagishi, and Z. Ling. INTERSPEECH, page 1954-1958. ISCA, (2014)Formant-controlled speech synthesis using hidden trajectory model.M. Cai, Z. Ling, and L. Dai. INTERSPEECH, page 1529-1533. ISCA, (2014)