V2Coder: A Non-Autoregressive Vocoder Based on Hierarchical Variational Autoencoders

V2Coder: A Non-Autoregressive Vocoder Based on Hierarchical Variational Autoencoders

This paper introduces V2Coder, a non-autoregressive vocoder based on hierarchical variational autoencoders (VAEs). The hierarchical VAE with hierarchically extended prior and approximate posterior distributions is highly expressive for modeling stochastic components of speech waveforms. V2Coder lear...

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Bibliographic Details
Main Authors: Takato Fujimoto, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Constrained optimization
hierarchical variational autoencoders
neural vocoders
posterior collapse
prior hole problem
speech synthesis
Online Access:https://ieeexplore.ieee.org/document/11014058/
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