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Aaron van den Oord, Sander Dieleman, Heiga Zen, Karen Simonyan, Oriol Vinyals, Alex Graves, Nal Kalchbrenner, Andrew Senior, and Koray Kavukcuoglu. 2016. Wavenet: A generative model for raw audio. arXiv preprint arXiv:1609.03499 (2016)."},{"key":"e_1_3_2_1_31_1","unstructured":"Wei Ping Kainan Peng and Jitong Chen. 2019. ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. In ICLR .  Wei Ping Kainan Peng and Jitong Chen. 2019. ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech. In ICLR ."},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10791-009-9123-y"},{"key":"e_1_3_2_1_33_1","volume-title":"FastSpeech 2: Fast and High-Quality End-to-End Text-to-Speech. arXiv preprint arXiv:2006.04558","author":"Ren Yi","year":"2020","unstructured":"Yi Ren , Chenxu Hu , Xu Tan , Tao Qin , Sheng Zhao , Zhou Zhao , and Tie-Yan Liu . 2020. FastSpeech 2: Fast and High-Quality End-to-End Text-to-Speech. arXiv preprint arXiv:2006.04558 ( 2020 ). Yi Ren, Chenxu Hu, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu. 2020. FastSpeech 2: Fast and High-Quality End-to-End Text-to-Speech. arXiv preprint arXiv:2006.04558 (2020)."},{"key":"e_1_3_2_1_34_1","volume-title":"Fastspeech: Fast, robust and controllable text to speech. In Advances in Neural Information Processing Systems. 3171--3180.","author":"Ren Yi","year":"2019","unstructured":"Yi Ren , Yangjun Ruan , Xu Tan , Tao Qin , Sheng Zhao , Zhou Zhao , and Tie-Yan Liu . 2019 . Fastspeech: Fast, robust and controllable text to speech. In Advances in Neural Information Processing Systems. 3171--3180. Yi Ren, Yangjun Ruan, Xu Tan, Tao Qin, Sheng Zhao, Zhou Zhao, and Tie-Yan Liu. 2019. Fastspeech: Fast, robust and controllable text to speech. In Advances in Neural Information Processing Systems. 3171--3180."},{"key":"e_1_3_2_1_35_1","volume-title":"Automatic Lyrics-to-audio Alignment on Polyphonic Music Using Singing-adapted Acoustic Models. 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Ashish Vaswani Noam Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan N Gomez \u0141ukasz Kaiser and Illia Polosukhin. 2017. Attention is all you need. In Advances in Neural Information Processing Systems. 5998--6008."},{"key":"e_1_3_2_1_40_1","volume-title":"Merlin: An Open Source Neural Network Speech Synthesis System.. In SSW. 202--207.","author":"Wu Zhizheng","year":"2016","unstructured":"Zhizheng Wu , Oliver Watts , and Simon King . 2016 . Merlin: An Open Source Neural Network Speech Synthesis System.. In SSW. 202--207. Zhizheng Wu, Oliver Watts, and Simon King. 2016. Merlin: An Open Source Neural Network Speech Synthesis System.. In SSW. 202--207."},{"key":"e_1_3_2_1_41_1","volume-title":"Xlnet: Generalized autoregressive pretraining for language understanding. 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