| Paper ID | SPE-P12.4 |
| Paper Title |
IMPROVING LPCNET-BASED TEXT-TO-SPEECH WITH LINEAR PREDICTION-STRUCTURED MIXTURE DENSITY NETWORK |
| Authors |
Min-Jae Hwang, Yonsei university, Korea (South); Eunwoo Song, Naver corporation, Korea (South); Ryuichi Yamamoto, LINE Corporation, Japan; Frank K. Soong, Microsoft Research Asia, China; Hong-Goo Kang, Yonsei university, Korea (South) |
| Session | SPE-P12: Machine Learning for Speech Synthesis II |
| Location | On-Demand |
| Session Time: | Thursday, 07 May, 11:30 - 13:30 |
| Presentation Time: | Thursday, 07 May, 11:30 - 13:30 |
| Presentation |
Poster
|
| Topic |
Speech Processing: [SPE-SYNT] Speech Synthesis and Generation |
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| Virtual Presentation |
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