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检索条件"主题词=variational autoencoder"
1537 条 记 录,以下是1311-1320 订阅
排序:
Audio-Visual Speech Enhancement with a Deep Kalman Filter Generative Model  48
Audio-Visual Speech Enhancement with a Deep Kalman Filter Ge...
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Golmakani, Ali Sadeghi, Mostafa Serizel, Romain Université de Lorraine Cnrs Inria Loria NancyF-54000 France
Deep latent variable generative models based on variational autoencoder (VAE) have shown promising performance for audio-visual speech enhancement (AVSE). The underlying idea is to learn a VAE-based audio-visual prior... 详细信息
来源: 评论
dB: A Web-based Drummer Bot for Finger-Tapping
dB: A Web-based Drummer Bot for Finger-Tapping
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International Conference on New Interfaces for Musical Expression, NIME 2024
作者: Erdem, Çağrı Griwodz, Carsten Department of Informatics University of Oslo Oslo Norway
dB is a web-based interface that serves as a "drummer bot" for exploring interactive groove-making experiences with an AI percussion system. This system, leveraging variational autoencoders (VAEs), transform... 详细信息
来源: 评论
DiffVoice: Text-to-Speech with Latent Diffusion  48
DiffVoice: Text-to-Speech with Latent Diffusion
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48th IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2023
作者: Liu, Zhijun Guo, Yiwei Yu, Kai Shanghai Jiao Tong University MoE Key Lab of Artificial Intelligence Ai Institute X-Lance Lab Department of Computer Science and Engineering Shanghai China
In this work, we present DiffVoice, a novel text-to-speech model based on latent diffusion. We propose to first encode speech signals into a phoneme-rate latent representation with a variational autoencoder enhanced b... 详细信息
来源: 评论
Two-stage instrument timbre transfer method using RAVE  26
Two-stage instrument timbre transfer method using RAVE
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26th International Symposium on Multimedia, ISM 2024
作者: Hu, Di Ito, Katunobu Hosei University Graduate School of Computer and Information Sciences Tokyo Japan Hosei University Faculty of Computer and Information Sciences Tokyo Japan
Recently, the real-time audio variational autoencoder (RAVE) method was developed for high-quality audio waveform synthesis. The RAVE method is based on a variational autoencoder and employs a two-stage training strat... 详细信息
来源: 评论
Data-driven fault diagnosis based on the integrated deep nonlinear dynamic system model  43
Data-driven fault diagnosis based on the integrated deep non...
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43rd Chinese Control Conference, CCC 2024
作者: Tang, Xiaochu Tao, Na Zhang, Yi Li, Yuan Shenyang Aerospace University School of Automation Shenyang China Shenyang University of Chemical Technology College of Information Engineering Shenyang China
To ensure the safety and reliability of complex industrial processes are very important. Therefore, extracting multiple features of data effectively is a great significance to improve the accuracy of modeling for faul... 详细信息
来源: 评论
An Ultrasound-Based Surveillance System for Bathroom Posture and Location Estimation
An Ultrasound-Based Surveillance System for Bathroom Posture...
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2024 IEEE International Conference on Consumer Electronics, ICCE 2024
作者: Sato, Shun Ohara, Ryotaro Kamarulzaman, M. Shahrul Amir Yasuda, Yuto Izumi, Shintaro Kawaguchi, Hiroshi Kobe University School of System Informatics Kobe Japan Kobe University School of Science Technology and Innovation Kobe Japan
Bathrooms can be slippery, increasing the risk of falling. In addition, because people enter the bathroom alone, it is difficult to detect accidents immediately when they occur. Therefore, a system is required to quic... 详细信息
来源: 评论
Adversarial Deep Neural Networks Effectively Remove Nonlinear Batch Effects from Gene-Expression Data
Adversarial Deep Neural Networks Effectively Remove Nonlinea...
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作者: Dayton, Jonathan Bryan Brigham Young University
学位级别:M.Sc., Master of Science
Gene-expression profiling enables researchers to quantify transcription levels in cells, thus providing insight into functional mechanisms of diseases and other biological processes. However, because of the high dimen... 详细信息
来源: 评论
Training Reject-Classifiers for Out-of-distribution Detection via Explicit Boundary Sample Generation
Training Reject-Classifiers for Out-of-distribution Detectio...
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作者: Vernekar, Sachin University of Waterloo
学位级别:硕士
Discriminatively trained neural classifiers can be trusted only when the input data comes from the training distribution (in-distribution). Therefore, detecting out-of-distribution (OOD) samples is very important to a... 详细信息
来源: 评论
Learning Affordance Representations: An Efficient Learning Approach for End-to-End Visuomotor Control
Learning Affordance Representations: An Efficient Learning A...
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作者: Hämäläinen, Aleksi Aalto University
学位级别:硕士
The development of data-driven approaches, such as deep learning, has led to the emergence of systems that have achieved human-like performance in wide variety of tasks. For robotic tasks, deep data-driven models are ... 详细信息
来源: 评论
Integrating multi-tube flow cytometry data via deep generative modelling
Integrating multi-tube flow cytometry data via deep generati...
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作者: Hiltunen, Saara Aalto University
学位级别:硕士
Flow cytometry has been used for several decades to quantitatively analyse single cells in a high-throughput manner. This has resulted in a wide range of medical and biological applications. For example in immunology,... 详细信息
来源: 评论