no code implementations • 9 Oct 2021 • Cheng Gong, Longbiao Wang, ZhenHua Ling, Ju Zhang, Jianwu Dang
The end-to-end speech synthesis model can directly take an utterance as reference audio, and generate speech from the text with prosody and speaker characteristics similar to the reference audio.
1 code implementation • 13 Oct 2020 • Jianrong Wang, Tong Wu, Shanyu Wang, Mei Yu, Qiang Fang, Ju Zhang, Li Liu
To this end, in this work, we present a novel end-to-end 3D lip motion Network (3LMNet) by utilizing the sentence-level 3D lip motion (S3DLM) to recognize speakers in both the text-independent and text-dependent contexts.
no code implementations • 10 May 2018 • Ming Li, Peilun Xiao, Ju Zhang
In traditional ELM and its improved versions suffer from the problems of outliers or noises due to overfitting and imbalance due to distribution.
no code implementations • 10 May 2018 • Ming Li, Peilun Xiao, Ju Zhang
In this paper, we propose a novel approach based on cost-sensitive ensemble weighted extreme learning machine; we call this approach AE1-WELM.
no code implementations • 26 May 2017 • Ming Li, Peilun Xiao, Ju Zhang
In this paper, we explore SPPIM-based text classification method, and the experiment reveals that the SPPIM method is equal to or even superior than SGNS method in text classification task on three international and standard text datasets, namely 20newsgroups, Reuters52 and WebKB.