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ICASSP 2022https://arxiv.org/abs/2110.03857IntroductionIn research, the text content of training and test data are often highly similar and in the same text domain. For many real-world applications, TTS systems need to deal with text input with arbitrary content across a wide range of domains.specific target speakers 로부터의 데이터를 증가시키는 것 : costly or impractical → “non-target” speakers 의 데이터를 사용하는 것..
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Interspeech 2022https://arxiv.org/abs/2110.05798Contributionpresent transfer learning methods and guidelines for finetuning single-speaker TTS models for a new voiceevaluate and provide a detailed analysis with varying amount of datademonstrate that transfer learning can substantially reduce the training time and amount of data needed for synthesizing a new voiceopen-source framework, provide a ..
