Results 21 to 30 of about 1,866,673 (365)
UVeQFed: Universal Vector Quantization for Federated Learning [PDF]
IEEE Transactions on Signal Processing, 2020 Traditional deep learning models are trained at a centralized server using data samples collected from users. Such data samples often include private information, which the users may not be willing to share.
Nir Shlezinger +4 more
semanticscholar +1 more source
VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture [PDF]
Interspeech, 2020 Voice conversion (VC) is a task that transforms the source speaker's timbre, accent, and tones in audio into another one's while preserving the linguistic content. It is still a challenging work, especially in a one-shot setting.
Da-Yi Wu, Yen-Hao Chen, Hung-yi Lee
semanticscholar +1 more source
NSVQ: Noise Substitution in Vector Quantization for Machine Learning
IEEE Access, 2022 Machine learning algorithms have been shown to be highly effective in solving optimization problems in a wide range of applications. Such algorithms typically use gradient descent with backpropagation and the chain rule.
Mohammad Hassan Vali, Tom Backstrom
doaj +1 more source
Research on Quantization Parameter Decision Scheme for High Efficiency Video Coding
Applied Sciences, 2023 High-Efficiency Video Coding (HEVC) is one of the most widely studied coding standards. It still uses the block-based hybrid coding framework of Advanced Video Coding (AVC), and compared to AVC, it can double the compression ratio while maintaining the ...
Xuesong Jin, Yansong Chai
doaj +1 more source
New Method to Reduce the Size of Codebook in Vector Quantization of Images [PDF]
Al-Rafidain Journal of Computer Sciences and Mathematics, 2005 The vector quantization method for image compression inherently requires the generation of a codebook which has to be made available for both the encoding and decoding processes.
Sahar Ahmed
doaj +1 more source
Finite Scalar Quantization: VQ-VAE Made Simple [PDF]
International Conference on Learning Representations, 2023 We propose to replace vector quantization (VQ) in the latent representation of VQ-VAEs with a simple scheme termed finite scalar quantization (FSQ), where we project the VAE representation down to a few dimensions (typically less than 10). Each dimension
Fabian Mentzer +3 more
semanticscholar +1 more source
Multiple-Description Multistage Vector Quantization
EURASIP Journal on Audio, Speech, and Music Processing, 2007 Multistage vector quantization (MSVQ) is a technique for low complexity implementation of high-dimensional quantizers, which has found applications within speech, audio, and image coding.
Pradeepa Yahampath
doaj +2 more sources
Comparison-limited Vector Quantization [PDF]
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019 27 pages, 10 ...
Stefano Rini, Joseph Chataignon
openaire +4 more sources
A mean-removed variation of weighted universal vector quantization for image coding [PDF]
, 2002 Weighted universal vector quantization uses traditional codeword design techniques to design locally optimal multi-codebook systems. Application of this technique to a sequence of medical images produces a 10.3 dB improvement over standard full search ...
B.D. Andrews +3 more
openalex +4 more sources
Autoregressive Image Generation using Residual Quantization [PDF]
Computer Vision and Pattern Recognition, 2022 For autoregressive (AR) modeling of high-resolution images, vector quantization (VQ) represents an image as a sequence of discrete codes. A short sequence length is important for an AR model to reduce its computational costs to consider long-range ...
Doyup Lee +4 more
semanticscholar +1 more source