Sample Efficient Adaptive Text-to-Speech

international conference on learning representations, 2019.

Cited by: 46|Bibtex|Views249
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Other Links: dblp.uni-trier.de|academic.microsoft.com|arxiv.org

Abstract:

We present a meta-learning approach for adaptive text-to-speech (TTS) with few data. During training, we learn a multi-speaker model using a shared conditional WaveNet core and independent learned embeddings for each speaker. The aim of training is not to produce a neural network with fixed weights, which is then deployed as a TTS system....More

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