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eess.AS2022
End-to-End Text-to-Speech Based on Latent Representation of Speaking Styles Using Spontaneous Dialogue
Kentaro Mitsui, Tianyu Zhao, Kei Sawada +3
The recent text-to-speech (TTS) has achieved quality comparable to that of humans; however, its application in spoken dialogue has not been widely studied. This study aims to reali…
eess.AS2021
MSR-NV: Neural Vocoder Using Multiple Sampling Rates
Kentaro Mitsui, Kei Sawada
The development of neural vocoders (NVs) has resulted in the high-quality and fast generation of waveforms. However, conventional NVs target a single sampling rate and require re-t…
eess.AS2020★ 2 cited
Hierarchical Multi-Grained Generative Model for Expressive Speech Synthesis
Yukiya Hono, Kazuna Tsuboi, Kei Sawada +4
This paper proposes a hierarchical generative model with a multi-grained latent variable to synthesize expressive speech. In recent years, fine-grained latent variables are introdu…