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检索条件"主题词=Variational autoencoder"
1554 条 记 录,以下是401-410 订阅
排序:
MULTI-SPEAKER AND MULTI-DOMAIN EMOTIONAL VOICE CONVERSION USING FACTORIZED HIERARCHICAL variational autoencoder
MULTI-SPEAKER AND MULTI-DOMAIN EMOTIONAL VOICE CONVERSION US...
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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Elgaar, Mohamed Park, Jungbae Lee, Sang Wan Korea Adv Inst Sci & Technol Daejeon South Korea Humelo Inc Daejeon South Korea KAIST Inst Artificial Intelligence Daejeon South Korea
Due to the complexity of emotional features, there has been limited success in emotional voice conversion. One major challenge is that conversion between more than two kinds of emotions often accompanies distortion of... 详细信息
来源: 评论
VAEPP: variational autoencoder with a Pull-Back Prior  27th
VAEPP: Variational Autoencoder with a Pull-Back Prior
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27th International Conference on Neural Information Processing
作者: Chen, Wenxiao Liu, Wenda Cai, Zhenting Xu, Haowen Pei, Dan Tsinghua Univ Dept Comp Sci & Technol Beijing Peoples R China Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing Peoples R China
Many approaches to training generative models by distinct training objectives have been proposed in the past. variational autoencoder (VAE) is an outstanding model of them based on log-likelihood. In this paper, we pr... 详细信息
来源: 评论
Laughter synthesis: A comparison between variational autoencoder and autoencoder  5
Laughter synthesis: A comparison between Variational autoenc...
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5th International Conference on Advanced Technologies for Signal and Image Processing (ATSIP)
作者: Mansouri, Nadia Lachiri, Zied Tunis El Manar Univ Signal Image & Informat Technol Res Lab LR SITI Natl Engn Sch Tunis ENIT Tunis Tunisia
Laughter is one of the most famous non verbal sounds that human produce since birth, it conveys messages about our emotional state. These characteristics make it an important sound that should be studied in order to i... 详细信息
来源: 评论
Unsupervised Deep Learning for Fault Detection on Spacecraft Using Improved variational autoencoder
Unsupervised Deep Learning for Fault Detection on Spacecraft...
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Chinese Automation Congress (CAC)
作者: Xiang, Gang Tao, Ran Peng, Yu Tian, Kun Qu, Chen Beihang Univ Natl Key Lab Aerosp Intelligent Control Beijing Aerosp Automat Control Inst Sch Automat Sci & Elect Engn Beijing Peoples R China Beijing Aerosp Automat Control Inst Natl Key Lab Aerosp Intelligent Control Beijing Peoples R China
Fault detection is important for improving the reliability of spacecraft, ensuring the long-term stable operation, and reducing the economic loss caused by failure. In order to solve the problems such as the large amo... 详细信息
来源: 评论
Anomaly Detection using variational autoencoder with Spectrum Analysis for Time Series Data  9
Anomaly Detection using Variational Autoencoder with Spectru...
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Joint 9th International Conference on Informatics, Electronics and Vision (ICIEV) / 4th International Conference on Imaging, Vision and Pattern Recognition (ICIVPR)
作者: Yokkampon, Umaporn Chumkamon, Sakmongkon Mowshowitz, Abbe Hayashi, Eiji Kyushu Inst Technol Grad Sch Comp Sci & Syst Engn Fukuoka Japan CUNY City Coll Dept Comp Sci New York NY USA
Uncertainty is an ever present challenge in life. To meet this challenge in data analysis, we propose a method for detecting anomalies in data. This method, based in part on variational autoencoder, identifies spiking... 详细信息
来源: 评论
DEEP variational autoencoder FOR MODELING FUNCTIONAL BRAIN NETWORKS AND ADHD IDENTIFICATION  17
DEEP VARIATIONAL AUTOENCODER FOR MODELING FUNCTIONAL BRAIN N...
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IEEE 17th International Symposium on Biomedical Imaging (ISBI)
作者: Qiang, Ning Dong, Qinglin Sun, Yifei Ge, Bao Liu, Tianming Shaanxi Normal Univ Sch Phys & Informat Technol Xian Peoples R China Univ Georgia Dept Comp Sci Athens GA 30602 USA
In the neuroimaging and brain mapping communities, researchers have proposed a variety of computational methods and tools to learn functional brain networks (FBNs). Recently, it has already been proven that deep learn... 详细信息
来源: 评论
A variational autoencoder-Based Secure Transceiver Design Using Deep Learning
A Variational Autoencoder-Based Secure Transceiver Design Us...
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IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus
作者: Lin, Chia-Hung Wu, Chao-Chin Chen, Kuan-Fu Lee, Ta-Sung Natl Chiao Tung Univ Inst Commun Engn Hsinchu Taiwan Natl Chiao Tung Univ Ctr mmWave Smart Radar Syst & Technol Hsinchu Taiwan North Carolina State Univ Dept Elect & Comp Engn Raleigh NC 27695 USA
To achieve new applications for 5G communications, physical layer security has recently drawn significant attention. In a wiretap channel system, our goal is to minimize information leakage to an eavesdropper while ma... 详细信息
来源: 评论
Transfer Learning Approach for Botnet Detection Based on Recurrent variational autoencoder  3
Transfer Learning Approach for Botnet Detection Based on Rec...
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3rd International Workshop on Systems and Network Telemetry and Analytics (SNTA)
作者: Kim, Jeeyung Sim, Alex Kim, Jinoh Wu, Kesheng Hahm, Jaegyoon Lawrence Berkeley Natl Lab Berkeley CA 94720 USA Texas A&M Univ Commerce TX USA KISTI Daejeon South Korea
Machine Learning (ML) methods have been widely used in Intrusion Detection Systems (IDS). In particular, many botnet detection methods are based on ML. However, due to the fast-evolving nature of network security thre... 详细信息
来源: 评论
High-Dimensional Similarity Search with Quantum-Assisted variational autoencoder  20
High-Dimensional Similarity Search with Quantum-Assisted Var...
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26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
作者: Gao, Nicholas Wilson, Max Vandal, Thomas Vinci, Walter Nemani, Ramakrishna Rieffel, Eleanor NASA Ames Res Ctr Quantum Artificial Intelligence Lab Moffett Field CA 94035 USA NASA Ames Res Ctr BAER Inst Moffett Field CA 94035 USA NASA Ames Res Ctr Moffett Field CA 94035 USA KBR Inc Houston TX USA Univ Bristol Quantum Engn CDT Bristol Avon England
Recent progress in quantum algorithms and hardware indicates the potential importance of quantum computing in the near future. However, finding suitable application areas remains an active area of research. Quantum ma... 详细信息
来源: 评论
Botnet Detection Using Recurrent variational autoencoder
Botnet Detection Using Recurrent Variational Autoencoder
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IEEE Global Communications Conference (GLOBECOM) on Advanced Technology for 5G Plus
作者: Kim, Jeeyung Sim, Alex Kim, Jinoh Wu, Kesheng Lawrence Berkeley Natl Lab Berkeley CA 94720 USA Texas A&M Univ Commerce TX USA
Botnet detection is an active research topic as botnets are a source of many malicious activities, including distributed denial-of-service (DDoS), click-fraud, spamming, and crypto-mining attacks. However, it is getti... 详细信息
来源: 评论