Deep Voice 2: Multi-Speaker Neural Text-to-Speech

@inproceedings{Arik2017DeepV2,
  title={Deep Voice 2: Multi-Speaker Neural Text-to-Speech},
  author={Sercan {\"O}mer Arik and Gregory Frederick Diamos and Andrew Gibiansky and John Miller and Kainan Peng and Wei Ping and Jonathan Raiman and Yanqi Zhou},
  booktitle={NIPS},
  year={2017}
}
We introduce a technique for augmenting neural text-to-speech (TTS) with lowdimensional trainable speaker embeddings to generate different voices from a single model. As a starting point, we show improvements over the two state-ofthe-art approaches for single-speaker neural TTS: Deep Voice 1 and Tacotron. We introduce Deep Voice 2, which is based on a similar pipeline with Deep Voice 1, but constructed with higher performance building blocks and demonstrates a significant audio quality… CONTINUE READING
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Tacotron: Towards End-to-End Speech Synthesis

INTERSPEECH • 2017
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