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检索条件"主题词=Variational autoencoder"
1537 条 记 录,以下是361-370 订阅
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Unsupervised Representation Disentanglement Using Cross Domain Features and Adversarial Learning in variational autoencoder Based Voice Conversion
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IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE 2020年 第4期4卷 468-479页
作者: Huang, Wen-Chin Luo, Hao Hwang, Hsin-Te Lo, Chen-Chou Peng, Yu-Huai Tsao, Yu Wang, Hsin-Min Acad Sinica Inst Informat Sci Taipei 11529 Taiwan Nagoya Univ Grad Sch Informat Nagoya Aichi 4648601 Japan Acad Sinica Res Ctr Informat Technol Inst Informat Sci Taipei 11529 Taiwan
An effective approach for voice conversion (VC) is to disentangle linguistic content from other components in the speech signal. The effectiveness of variational autoencoder (VAE) based VC (VAE-VC), for instance, stro... 详细信息
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A variational autoencoder Mixture Model for Online Behavior Recommendation
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IEEE ACCESS 2020年 8卷 132736-132747页
作者: Nguyen, Minh-Duc Cho, Yoon-Sik Sejong Univ Dept Software Convergence Seoul 05006 South Korea Sejong Univ Dept Data Sci Seoul 05006 South Korea
Online behavior recommendation is an attractive research topic related to social media mining. This topic focuses on suggesting suitable behaviors for users in online platforms, including music listening, video watchi... 详细信息
来源: 评论
Semi-Supervised Neural Chord Estimation Based on a variational autoencoder With Latent Chord Labels and Features
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IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING 2020年 28卷 2956-2966页
作者: Wu, Yiming Carsault, Tristan Nakamura, Eita Yoshii, Kazuyoshi Kyoto Univ Grad Sch Informat Kyoto 6068501 Japan IRCAM Representat Mus F-75004 Paris France Kyoto Univ Hakubi Ctr Adv Res Kyoto 6068501 Japan
This paper describes a statistically-principled semi-supervised method of automatic chord estimation (ACE) that can make effective use of music signals regardless of the availability of chord annotations. The typical ... 详细信息
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Remote sensing image captioning via variational autoencoder and Reinforcement Learning
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KNOWLEDGE-BASED SYSTEMS 2020年 203卷 105920-105920页
作者: Shen, Xiangqing Liu, Bing Zhou, Yong Zhao, Jiaqi Liu, Mingming China Univ Min & Technol Sch Comp Sci & Technol Xuzhou 221116 Jiangsu Peoples R China Minist Educ Mine Digitizat Engn Res Ctr Beijing Peoples R China Chinese Acad Sci Inst Elect Beijing 100190 Peoples R China Jiangsu Vocat Inst Architectural Technol Sch Intelligent Mfg Xuzhou 221008 Jiangsu Peoples R China Jiangsu Normal Univ Sch Mechatron Engn Xuzhou 221008 Jiangsu Peoples R China
Image captioning, i.e., generating the natural semantic descriptions of given image, is an essential task for machines to understand the content of the image. Remote sensing image captioning is a part of the field. Mo... 详细信息
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adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection
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KNOWLEDGE-BASED SYSTEMS 2020年 190卷 105187-105187页
作者: Wang, Xuhong Du, Ying Lin, Shijie Cui, Ping Shen, Yuntian Yang, Yupu Shanghai Jiao Tong Univ Shanghai Peoples R China Wuhan Univ Wuhan Peoples R China Univ Calif Davis Davis CA 95616 USA
Recently, deep generative models have become increasingly popular in unsupervised anomaly detection. However, deep generative models aim at recovering the data distribution rather than detecting anomalies. Moreover, d... 详细信息
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variational autoencoder Anomaly-Detection of Avalanche Deposits in Satellite SAR Imagery  2020
Variational Autoencoder Anomaly-Detection of Avalanche Depos...
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Proceedings of the 10th International Conference on Climate Informatics
作者: Saumya Sinha Sophie Giffard-Roisin Fatima Karbou Michael Deschatres Anna Karas Nicolas Eckert Cécile Coléou Claire Monteleoni University of Colorado Boulder USA ISTerre Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS IRD IFSTTAR France CNRM-GAME Météo-France Grenoble France Irstea Université Grenoble Alpes France Irstea Université Grenoble Alpes France
This work demonstrates that deep unsupervised learning holds much promise for rare event detection, even when labeled data is limited. Rare event detection is challenging for traditional supervised learning approaches... 详细信息
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Dimension reduction and 2D-visualization for early change of state detection in a machining process with a variational autoencoder approach
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INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY 2020年 第11-12期111卷 3597-3611页
作者: Proteau, Antoine Zemouri, Ryad Tahan, Antoine Thomas, Marc Ecole Technol Super Dept Mech Engn Montreal PQ H3C 1K3 Canada HESAM Univ CEDRIC Lab Conservatoire Natl Arts & Metiers CNAM F-750141 Paris France
In this paper, we applied a variational autoencoder approach to an industrial machining problematic. We proposed a model based on a two-steps training process and a two-dimensional latent space. This two-dimensional l... 详细信息
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GBNF-VAE: A Pathological Voice Enhancement Model Based on Gold Section for Bottleneck Feature With variational autoencoder
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Journal of Voice 2023年
作者: Liu, Ganjun Zhang, Tao Ding, Biyun Lv, Ying Hou, Xiaohui Guo, Haoyang Wu, Yaqin Fu, Dehui School of Electrical and Information Engineering Tianjin University Tianjin China School of Software Shanxi Agricultural University Shanxi China Department of Otolaryngology Tianjin Medical University Tianjin China
Objective: Speech enhancement has become a promising technique to accommodate demands of the improvement in quality of a degraded speech signal. The main works now focus on separating normal speech from noise, but hav... 详细信息
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Condition-Transforming variational autoencoder for Generating Diverse Short Text Conversations
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ACM TRANSACTIONS ON ASIAN AND LOW-RESOURCE LANGUAGE INFORMATION PROCESSING 2020年 第6期19卷 1–13页
作者: Ruan, Yu-Ping Ling, Zhen-Hua Zhu, Xiaodan Univ Sci & Technol China Natl Engn Lab Speech & Language Informat Proc 443 Huangshan Rd Hefei Peoples R China Queens Univ Dept Elect & Comp Engn Walter Light HallUnion St Kingston ON K7L 2N1 Canada
In this article, conditional-transforming variational autoencoders (CTVAEs) are proposed for generating diverse short text conversations. In conditional variational autoencoders (CVAEs), the prior distribution of late... 详细信息
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variational autoencoder: An unsupervised model for encoding and decoding fMRI activity in visual cortex
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NEUROIMAGE 2019年 198卷 125-136页
作者: Han, Kuan Wen, Haiguang Shi, Junxing Lu, Kun-Han Zhang, Yizhen Fu, Di Liu, Zhongming Weldon Sch Biomed Engn W Lafayette IN USA Sch Elect & Comp Engn W Lafayette IN USA Purdue Univ Purdue Inst Integrat Neurosci W Lafayette IN 47906 USA
Goal-driven and feedforward-only convolutional neural networks (CNN) have been shown to be able to predict and decode cortical responses to natural images or videos. Here, we explored an alternative deep neural networ... 详细信息
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