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pro vyhledávání: '"Yichong Leng"'
In the development of neural text-to-speech systems, model pre-training with a large amount of non-target speakers' data is a common approach. However, in terms of ultimately achieved system performance for target speaker(s), the actual benefits of m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77c5ef6e6fd156f27428d387dfb4539e
Publikováno v:
ICASSP
Mean opinion score (MOS) is a popular subjective metric to assess the quality of synthesized speech, and usually involves multiple human judges to evaluate each speech utterance. To reduce the labor cost in MOS test, multiple methods have been propos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47df1a18da55646ac49812bcac272666
Publikováno v:
Scopus-Elsevier
ACL (1)
ACL (1)
Unsupervised neural machine translation (NMT) has attracted a lot of attention recently. While state-of-the-art methods for unsupervised translation usually perform well between similar languages (e.g., English-German translation), they perform poorl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ba73c1af71612aea77817cbc9520e5e7
Autor:
Tao Qin, Renqian Luo, Tie-Yan Liu, Fei Gao, Xu Tan, Linyuan Gong, Di He, Yang Fan, Lijun Wu, Fei Tian, Jinhua Zhu, Yichong Leng, Yiren Wang, Weicong Chen, Yingce Xia
Publikováno v:
WMT (2)
We Microsoft Research Asia made submissions to 11 language directions in the WMT19 news translation tasks. We won the first place for 8 of the 11 directions and the second place for the other three. Our basic systems are built on Transformer, back tr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03b8d3422776fc24ff7635eab463f742
https://doi.org/10.18653/v1/w19-5348
https://doi.org/10.18653/v1/w19-5348
Autor:
Mendonça, Vânia1 (AUTHOR) vania.mendonca@tecnico.ulisboa.pt, Rei, Ricardo2 (AUTHOR) ricardo.rei@unbabel.com, Coheur, Luísa1 (AUTHOR) luisa.coheur@tecnico.ulisboa.pt, Sardinha, Alberto3 (AUTHOR) jose.alberto.sardinha@tecnico.ulisboa.pt
Publikováno v:
Computational Linguistics. Jun2023, Vol. 49 Issue 2, p325-372. 48p.
Autor:
Haddow, Barry1 (AUTHOR) bhaddow@inf.ed.ac.uk, Bawden, Rachel2 (AUTHOR) Rachel.bawden@inria.fr, Barone, Antonio Valerio Miceli1 (AUTHOR) amiceli@ed.ac.uk, Helcl, Jindřich1 (AUTHOR) jhelcl@ed.ac.uk, Birch, Alexandra1 (AUTHOR) a.birch@ed.ac.uk
Publikováno v:
Computational Linguistics. Sep2022, Vol. 48 Issue 3, p673-732. 60p.
Autor:
MENAPACE, WILLI, SIAROHIN, ALIAKSANDR, LATHUILIÈRE, STÉPHANE, ACHLIOPTAS, PANOS, GOLYANIK, VLADISLAV, TULYAKOV, SERGEY, RICCI, ELISA
Publikováno v:
ACM Transactions on Graphics; Apr2024, Vol. 43 Issue 2, p1-16, 16p
Publikováno v:
ACM Transactions on Software Engineering & Methodology; Feb2024, Vol. 33 Issue 2, p1-42, 42p
Artificial intelligence, or AI, now affects the day-to-day life of almost everyone on the planet, and continues to be a perennial hot topic in the news. This book presents the proceedings of ECAI 2023, the 26th European Conference on Artificial Intel
Autor:
Xu Tan
Text-to-speech (TTS) aims to synthesize intelligible and natural speech based on the given text. It is a hot topic in language, speech, and machine learning research and has broad applications in industry. This book introduces neural network-based TT