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An analysis on the effects of speaker embedding choice in non auto-regressive TTS
In this paper we introduce a first attempt on understanding how a non-autoregressive factorised multi-speaker speech synthesis architecture exploits the information present in different speaker embedding sets.
What does BERT learn about prosody?
Language models have become nearly ubiquitous in natural language processing applications achieving state-of-the-art results in many tasks including prosody.
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