devmoon

https://arxiv.org/abs/1809.08895 Neural Speech Synthesis with Transformer Network Although end-to-end neural text-to-speech (TTS) methods (such as Tacotron2) are proposed and achieve state-of-the-art performance, they still suffer from two problems: 1) low efficiency during training and inference; 2) hard to model long dependency using arxiv.org Abstract End-to-End TTS를 지원하는 Tacotron2는 TTS분야에서 뛰..

https://arxiv.org/abs/1712.05884 Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions This paper describes Tacotron 2, a neural network architecture for speech synthesis directly from text. The system is composed of a recurrent sequence-to-sequence feature prediction network that maps character embeddings to mel-scale spectrograms, followed arxiv.org Tacotron1에 이어 나온 Taco..

https://arxiv.org/abs/1609.03499 WaveNet: A Generative Model for Raw Audio This paper introduces WaveNet, a deep neural network for generating raw audio waveforms. The model is fully probabilistic and autoregressive, with the predictive distribution for each audio sample conditioned on all previous ones; nonetheless we show that arxiv.org 1. Introduction WaveNet 논문은 텍스트를 음성으로 바꾸어주는 TTS에서 적용가능한 모..