Suchergebnisse - vector quantized variational autoencoder (VAE)

A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural F0 Model for Statistical Parametric Speech Synthesis von Wang, Xin, Takaki, Shinji, Yamagishi, Junichi, King, Simon, Tokuda, Keiichi

“… In subjective evaluations, a deep AR model (DAR) outperformed an RNN. Here, we propose a Vector Quantized Variational Autoencoder (VQ-VAE …”
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Robust Semantic Communications with Masked VQ-VAE Enabled Codebook von Hu, Qiyu, Zhang, Guangyi, Qin, Zhijin, Cai, Yunlong, Yu, Guanding, Li, Geoffrey Ye

“… Although semantic communications have exhibited satisfactory performance on a large number of tasks, the impact of semantic noise and the robustness of the …”
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S2VQ-VAE: Semi-Supervised Vector Quantised-Variational AutoEncoder for Automatic Evaluation of Trail Making Test von Tang, Zeshen, Tang, Shiyu, Wang, Haoran, Li, Renren, Zhang, Xiaochen, Zhang, Wei, Yuan, Xiao, Zang, Yaning, Li, Yanping, Zhou, Tian, Li, Yunxia

“… We proposed a novel deep representation learning approach named Semi-Supervised Vector Quantised-Variational AutoEncoder (S2VQ-VAE …”
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A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural $F_0$ Model for Statistical Parametric Speech Synthesis von Wang, Xin, Takaki, Shinji, Yamagishi, Junichi, King, Simon, Tokuda, Keiichi

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A Vector Quantized Variational Autoencoder (VQ-VAE) Autoregressive Neural [Formula Omitted] Model for Statistical Parametric Speech Synthesis von Wang, Xin, Takaki, Shinji, Yamagishi, Junichi, King, Simon, Tokuda, Keiichi

“… In subjective evaluations, a deep AR model (DAR) outperformed an RNN. Here, we propose a Vector Quantized Variational Autoencoder (VQ-VAE) neural [Formula Omitted …”
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SVQ-VAE: Federated-Learning-Based Semantic-Aware Communication for Vehicular Networks von Jin, Zhu, Li, Yundi, Song, Tiecheng, Jia, Wen-Kang, Song, Xiaoqin

“… The integration of semantic communication technology into intelligent vehicular networks represents a promising research direction, as it significantly reduces …”
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Entropy-Constrained VQ-VAE for Deep-Learning-Based CSI Feedback von Shin, Junyong, Park, Jinsung, Jeon, Yo-Seb

“… This technique harnesses an autoencoder architecture, where an encoder network transforms CSI into a low-dimensional latent vector, and a decoder network reconstructs the CSI from the latent vector …”
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Predicting anatomical variations in radiotherapy with a vector quantized variational autoencoder generative model von Zou, Yue, Li, Zhenhao, Zhang, Menghan, Li, Ziwei, Yin, Xiaojie, Yang, Long, Hu, Weigang, Wang, Jiazhou

“… Predicting these changes may benefit adaptive radiotherapy (ART) in nasopharyngeal cancer. Purpose This study proposes a vector quantized variational autoencoder (VQ‐VAE …”
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Reviving Legacy Seismic Data via Machine Learning Technique-Part 2: Estimating 3-D Seismic Volumes From 2-D Seismic Lines With VQ-VAE von Lee, Jun-Woo, Je Lee, Min, Min, Dong-Joo, Cho, Yongchae

“… , seismic misties and discrepant seismic characteristics across lines). To overcome these challenges, we employ the vector-quantized variational autoencoder (VQ-VAE …”
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Generating extremely low-dimensional representation of subsurface earth models using vector quantization and deep Autoencoder von Yusuf Falola, Polina Churilova, Rui Liu, Chung-Kan Huang, Jose F. Delgado, Siddharth Misra

“… ), variational autoencoders …”
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Vector Quantization for Deep-Learning-Based CSI Feedback in Massive MIMO Systems von Shin, Junyong, Kang, Yujin, Jeon, Yo-Seb

“… ) feedback method for massive multiple-input multiple-output (MIMO) systems. The presented method provides a finite-bit representation of the latent vector based on a vector-quantized variational autoencoder (VQ-VAE …”
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Audio-Visual Autoencoding for Privacy-Preserving Video Streaming von Xu, Honghui, Cai, Zhipeng, Takabi, Daniel, Li, Wei

“… In this article, we propose a cycle vector-quantized variational autoencoder (cycle-VQ-VAE) framework to encode and decode the video with its extracted audio, which takes …”
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SSL-VQ: vector-quantized variational autoencoders for semi-supervised prediction of therapeutic targets across diverse diseases von Namba, Satoko, Li, Chen, Yuyama Otani, Noriko, Yamanishi, Yoshihiro

“… rare diseases, intractable diseases). Results This study presents a novel machine learning approach using multimodal vector-quantized variational autoencoders (VQ-VAEs …”
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RAQ-VAE: Rate-Adaptive Vector-Quantized Variational Autoencoder von Seo, Jiwan, Kang, Joonhyuk

“… Vector Quantized Variational AutoEncoder (VQ-VAE) is an established technique in machine learning for learning discrete representations across various modalities …”
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Connectionist temporal classification loss for vector quantized variational autoencoder in zero-shot voice conversion von Kang, Xiao, Huang, Hao, Hu, Ying, Huang, Zhihua

“… •Thorough analysis provides useful insight into representation disentangling. Vector quantized variational autoencoder (VQ-VAE …”
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466.4-Gbit/s PCS-64QAM wireless transmission enhanced by dual-polarized SISO link and vector-quantized variational autoencoders von Liu, Xiang, Zhang, Jiao, Zhu, Min, Xin, Zhigang, Dong Tong, Wei, Wang, Yunwu, Cai, Yuancheng, Hua, Bingchang, Lei, Mingzheng, Liu, Bo, Yu, Jianjun

“… ) wireless delivery at 92.5 GHz. This is achieved by employing a likelihood-aware vector-quantized variational autoencoder (VQ-VAE …”
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Vector-Quantized Variational AutoEncoder for pansharpening von Talbi, Farid, Chikr Elmezouar, Miloud, Boutellaa, Elhocine, Alim, Fatiha

“… This paper describes a new, efficient, and accurate pansharpening architecture. The Vector-Quantized Variational AutoEncoder (VQ-VAE …”
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The Multilayer Perceptron Vector Quantized Variational AutoEncoder for Spectral Envelope Quantization von Srikotr, Tanasan, Mano, Kazunori

“… In this paper, we propose The Multilayer Perceptron Vector Quantized Variational Autoencoder (MLP-VQ-VAE) to manage the flexibility of controlling the number of z-latent vectors to quantize and embedding space size efficiently …”
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Data augmentation with generative models improves detection of Non-B DNA structures von Cherednichenko, Oleksandr, Poptsova, Maria

“… Non-B DNA structures, or flipons, are important functional elements that regulate a large spectrum of cellular programs. Experimental technologies for flipon …”
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MSMC-TTS: Multi-Stage Multi-Codebook VQ-VAE based Neural TTS von Guo, Haohan, Xie, Fenglong, Wu, Xixin, Soong, Frank K., MengFellow, Helen

“… We propose a Vector-Quantized Variational AutoEncoder (VQ-VAE) based feature analyzer to encode acoustic features into sequences with different time resolutions …”
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