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1 Ergebnisse
1
ViSPer: A Multilingual TTS Approach Based on VITS Using Dee..:
, In:
2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)
,
Zhuang, Hancheng
;
Guo, Yinlin
;
Wang, Yuehai
- p. 244-248 , 2023
Link:
https://doi.org/10.1109/AUTEEE60196.2023.10408683
RT T1 <cTitle>2023 IEEE 6th International Conference on Automation, Electronics and Electrical Engineering (AUTEEE)</cTitle>: T1 <Title>ViSPer: A Multilingual TTS Approach Based on VITS Using Deep Feature Loss</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10408683&Exemplar=1&LAN=DE A1 Zhuang, Hancheng A1 Guo, Yinlin A1 Wang, Yuehai YR 2023 SN 2831-4549 K1 Training K1 Vocabulary K1 Feature extraction K1 Speech synthesis K1 Reliability K1 Task analysis K1 Text processing K1 Text-to-speech K1 VITS K1 Byte-Pair Encoding K1 subword-level vocab K1 Deep feature loss SP 244 OP 248 LK http://dx.doi.org/https://doi.org/10.1109/AUTEEE60196.2023.10408683 DO https://doi.org/10.1109/AUTEEE60196.2023.10408683 SF ELIB - SuUB Bremen
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