Name
Title | ||
|---|---|---|
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks. |
Abstract | ||
|---|---|---|
A method for statistical parametric speech synthesis incorporating generative adversarial networks (GANs) is proposed. Although powerful deep neural networks techniques can be applied to artificially synthesize speech waveform, the synthetic speech quality is low compared with that of natural speech. One of the issues causing the quality degradation is an oversmoothing effect often observed in the... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TASLP.2017.2761547 | IEEE/ACM Transactions on Audio, Speech, and Language Processing |
Keywords | DocType | Volume |
Speech,Gallium nitride,Acoustics,Training,Hidden Markov models,Speech synthesis,Natural languages | Journal | 26 |
Issue | ISSN | Citations |
1 | 2329-9290 | 12 |
PageRank | References | Authors |
0.58 | 29 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saito, Yuki | 1 | 26 | 7.87 |
| Shinnosuke Takamichi | 2 | 75 | 22.08 |
| Saruwatari, H. | 3 | 652 | 90.81 |