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Toshiyuki Kumakura

2 accepted papers

2022

Polyphone Disambiguation and Accent Prediction Using Pre-Trained Language Models in Japanese TTS Front-End

ICASSP 2022accepted

Although end-to-end text-to-speech (TTS) models can generate natural speech, challenges still remain when it comes to estimating sentence-level phonetic and prosodic information from raw text in Japanese TTS systems. In this paper, we propose a method for polyphone disambiguation (PD) and accent pre…

Cited by 0SourceScholar
2022

SQ-VAE: Variational Bayes on Discrete Representation with Self-annealed Stochastic Quantization

ICML 2022spotlight

One noted issue of vector-quantized variational autoencoder (VQ-VAE) is that the learned discrete representation uses only a fraction of the full capacity of the codebook, also known as codebook collapse. We hypothesize that the training scheme of VQ-VAE, which involves some carefully designed heuri…