Deep Gaussian process based multi-speaker speech synthesis with latent speaker representation-Reference-Cited by-同舟云学术

Deep Gaussian process based multi-speaker speech synthesis with latent speaker representation

Published:2021-09 Issue: Volume:132 Page:132-145
ISSN:0167-6393
Container-title:Speech Communication
language:en
Short-container-title:Speech Communication

Author:

Mitsui Kentaro^ORCID,Koriyama Tomoki^ORCID,Saruwatari Hiroshi^ORCID

Funder

Japan Society for the Promotion of Science

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modeling and Simulation,Software

Reference46 articles.

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4. Bowman, S.R., Vilnis, L., Vinyals, O., Dai, A., Jozefowicz, R., Bengio, S., 2016. Generating sentences from a continuous space. In: Proc. SIGNLL. Berlin, Germany, pp. 10–21.

5. Bui, T., Hernández-Lobato, D., Hernández-Lobato, J., Li, Y., Turner, R., 2016. Deep Gaussian processes for regression using approximate expectation propagation. In: Proc. ICML. New York, U.S.A., pp. 1472–1481.

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