Zobrazeno 1 - 10
of 2 048
pro vyhledávání: '"Zong Yuan"'
This paper addresses the open problem of conducting change-point analysis for interval-valued time series data using the maximum likelihood estimation (MLE) framework. Motivated by financial time series, we analyze data that includes daily opening (O
Externí odkaz:
http://arxiv.org/abs/2410.09884
Autor:
Xing Wu, Di Xu, Tong Ma, Zhao Hui Li, Zi Ye, Fei Wang, Xiang Yang Gao, Bin Wang, Yu Zhong Chen, Zhao Hui Wang, Ji Li Chen, Yun Tao Hu, Zong Yuan Ge, Da Jiang Wang, Qiang Zeng
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 10 (2022)
Background: Cataract is the leading cause of blindness worldwide. In order to achieve large-scale cataract screening and remarkable performance, several studies have applied artificial intelligence (AI) to cataract detection based on fundus images. H
Externí odkaz:
https://doaj.org/article/fd51ec9911ed446cb6d04b0abe4e4845
Realistic emotional voice conversion (EVC) aims to enhance emotional diversity of converted audios, making the synthesized voices more authentic and natural. To this end, we propose Emotional Intensity-aware Network (EINet), dynamically adjusting int
Externí odkaz:
http://arxiv.org/abs/2407.14800
Autor:
Li, Sunan, Lian, Hailun, Lu, Cheng, Zhao, Yan, Qi, Tianhua, Yang, Hao, Zong, Yuan, Zheng, Wenming
The emotion recognition has attracted more attention in recent decades. Although significant progress has been made in the recognition technology of the seven basic emotions, existing methods are still hard to tackle compound emotion recognition that
Externí odkaz:
http://arxiv.org/abs/2407.12973
Emotion AI is the ability of computers to understand human emotional states. Existing works have achieved promising progress, but two limitations remain to be solved: 1) Previous studies have been more focused on short sequential video emotion analys
Externí odkaz:
http://arxiv.org/abs/2405.00574
In this paper, we propose Prosody-aware VITS (PAVITS) for emotional voice conversion (EVC), aiming to achieve two major objectives of EVC: high content naturalness and high emotional naturalness, which are crucial for meeting the demands of human per
Externí odkaz:
http://arxiv.org/abs/2403.01494
Autor:
Li Dong, Xin Yue Hu, Yan Ni Yan, Qi Zhang, Nan Zhou, Lei Shao, Ya Xing Wang, Jie Xu, Yin Jun Lan, Yang Li, Jian Hao Xiong, Cong Xin Liu, Zong Yuan Ge, Jost. B. Jonas, Wen Bin Wei
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 9 (2021)
This study aimed to develop an automated computer-based algorithm to estimate axial length and subfoveal choroidal thickness (SFCT) based on color fundus photographs. In the population-based Beijing Eye Study 2011, we took fundus photographs and meas
Externí odkaz:
https://doaj.org/article/b83e84c28e5248a0a95ff8fa384e0f44
Publikováno v:
Shock and Vibration, Vol 2021 (2021)
The key to fault diagnosis of rotating machinery is to extract fault features effectively and select the appropriate classification algorithm. As a common signal decomposition method, the effect of wavelet packet decomposition (WPD) largely depends o
Externí odkaz:
https://doaj.org/article/f5395e7b232245d68020683d93ba6f59
Emotion-Aware Contrastive Adaptation Network for Source-Free Cross-Corpus Speech Emotion Recognition
Cross-corpus speech emotion recognition (SER) aims to transfer emotional knowledge from a labeled source corpus to an unlabeled corpus. However, prior methods require access to source data during adaptation, which is unattainable in real-life scenari
Externí odkaz:
http://arxiv.org/abs/2401.12925
Swin-Transformer has demonstrated remarkable success in computer vision by leveraging its hierarchical feature representation based on Transformer. In speech signals, emotional information is distributed across different scales of speech features, e.
Externí odkaz:
http://arxiv.org/abs/2401.10536