The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders

9 October 2020

Papers citing "The NU Voice Conversion System for the Voice Conversion Challenge 2020: On the Effectiveness of Sequence-to-sequence Models and Autoregressive Neural Vocoders"

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Title
Two-stage training method for Japanese electrolaryngeal speech enhancement based on sequence-to-sequence voice conversion D. Ma Lester Phillip Violeta Kazuhiro Kobayashi T. Toda 21 6 0 19 Oct 2022
High Fidelity Speech Synthesis with Adversarial Networks Mikolaj Binkowski Jeff Donahue Sander Dieleman Aidan Clark Erich Elsen Norman Casagrande Luis C. Cobo Karen Simonyan 223 239 0 25 Sep 2019
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,923 0 17 Aug 2015