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Semi-Supervised Learning Based On Hierarchical Generative Models For End-To-End Speech Synthesis

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IEEE ICASSP 2020 Virtual Conference May 2020

This paper proposes a general framework of semi-supervised learning based on hierarchical generative models and adapts it to a Japanese end-to-end text-to-speech (TTS) system. In English TTS, several end-to-end systems have recently achieved sound quality

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Semi-Supervised Learning Based On Hierarchical Generative Models For End-To-End Speech Synthesis

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This paper proposes a general framework of semi-supervised learning based on hierarchical generative models and adapts it to a Japanese end-to-end text-to-speech (TTS) system. In English TTS, several end-to-end systems have recently achieved sound quality