Zobrazeno 1 - 10
of 228
pro vyhledávání: '"Guo, Tingwei"'
Autor:
Zhang, Yongmao, Xue, Heyang, Li, Hanzhao, Xie, Lei, Guo, Tingwei, Zhang, Ruixiong, Gong, Caixia
End-to-end singing voice synthesis (SVS) model VISinger can achieve better performance than the typical two-stage model with fewer parameters. However, VISinger has several problems: text-to-phase problem, the end-to-end model learns the meaningless
Externí odkaz:
http://arxiv.org/abs/2211.02903
This paper describes our best system and methodology for ADD 2022: The First Audio Deep Synthesis Detection Challenge\cite{Yi2022ADD}. The very same system was used for both two rounds of evaluation in Track 3.2 with a similar training methodology. T
Externí odkaz:
http://arxiv.org/abs/2204.08720
Autor:
Wen, Cheng, Guo, Tingwei, Tan, Xingjun, Yan, Rui, Zhou, Shuran, Xie, Chuandong, Zou, Wei, Li, Xiangang
In this paper, we describe our speech generation system for the first Audio Deep Synthesis Detection Challenge (ADD 2022). Firstly, we build an any-to-many voice conversion (VC) system to convert source speech with arbitrary language content into the
Externí odkaz:
http://arxiv.org/abs/2204.08692
Autor:
Xu, Yanguang, Sun, Jianwei, Han, Yang, Zhao, Shuaijiang, Mei, Chaoyang, Guo, Tingwei, Zhou, Shuran, Xie, Chuandong, Zou, Wei, Li, Xiangang
This paper presents the details of our system designed for the Task 1 of Multimodal Information Based Speech Processing (MISP) Challenge 2021. The purpose of Task 1 is to leverage both audio and video information to improve the environmental robustne
Externí odkaz:
http://arxiv.org/abs/2204.08686
Autor:
Guo, Tingwei, Hu, Yixuan, Lahkar, Simanta, Joardar, Joydip, Chen, Mingwei, Reddy, Kolan Madhav
Publikováno v:
In Journal of the European Ceramic Society August 2024 44(10):5590-5600
Autor:
Guo, Tingwei, Pei, Fei, Zhang, Mingyi, Yamada, Takahiko, Feng, Jifan, Jing, Junjun, Ho, Thach-Vu, Chai, Yang
Publikováno v:
In Cell Stem Cell 6 June 2024 31(6):904-920
Autor:
Guo, Tingwei, Shen, Yidi, Zhang, Haibo, Lahkar, Simanta, Zhang, Zhifu, Song, Shuangxi, An, Qi, Reddy, Kolan Madhav
Publikováno v:
In Materials Characterization February 2024 208
Autor:
Guo, Tingwei, Wen, Cheng, Jiang, Dongwei, Luo, Ne, Zhang, Ruixiong, Zhao, Shuaijiang, Li, Wubo, Gong, Cheng, Zou, Wei, Han, Kun, Li, Xiangang
This paper introduces a new open-sourced Mandarin speech corpus, called DiDiSpeech. It consists of about 800 hours of speech data at 48kHz sampling rate from 6000 speakers and the corresponding texts. All speech data in the corpus is recorded in quie
Externí odkaz:
http://arxiv.org/abs/2010.09275
Autor:
Guo, Tingwei
My research using the model plant Arabidopsis thaliana is focused on unraveling the signal transduction pathways involved in elicitor-mediated plant defense, particularly defense pathways involved in resistance to fungal pathogens. I have isolated a
Externí odkaz:
http://pqdtopen.proquest.com/#viewpdf?dispub=10815633
Autor:
Han, Kun, Chen, Junwen, Zhang, Hui, Xu, Haiyang, Peng, Yiping, Wang, Yun, Ding, Ning, Deng, Hui, Gao, Yonghu, Guo, Tingwei, Zhang, Yi, He, Yahao, Ma, Baochang, Zhou, Yulong, Zhang, Kangli, Liu, Chao, Lyu, Ying, Wang, Chenxi, Gong, Cheng, Wang, Yunbo, Zou, Wei, Song, Hui, Li, Xiangang
In this paper we present DELTA, a deep learning based language technology platform. DELTA is an end-to-end platform designed to solve industry level natural language and speech processing problems. It integrates most popular neural network models for
Externí odkaz:
http://arxiv.org/abs/1908.01853