Towards achieving robust universal neural vocoding

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Towards achieving robust universal neural vocoding

15 November 2018

Jaime Lorenzo-Trueba

Bartosz Putrycz

Roberto Barra-Chicote

Vatsal Aggarwal

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Papers citing "Towards achieving robust universal neural vocoding"

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Title
Enhancing into the codec: Noise Robust Speech Coding with Vector-Quantized Autoencoders Jonah Casebeer Vinjai Vale Umut Isik J. Valin Ritwik Giri A. Krishnaswamy 100 20 0 12 Feb 2021
Reverberation Modeling for Source-Filter-based Neural Vocoder Yang Ai Xin Wang Junichi Yamagishi Zhenhua Ling 59 3 0 15 May 2020
Towards Robust Neural Vocoding for Speech Generation: A Survey Po-Chun Hsu Chun-hsuan Wang Andy T. Liu Hung-yi Lee OOD 78 25 0 05 Dec 2019
Using VAEs and Normalizing Flows for One-shot Text-To-Speech Synthesis of Expressive Speech Vatsal Aggarwal Marius Cotescu N. Prateek Jaime Lorenzo-Trueba Roberto Barra-Chicote 84 31 0 28 Nov 2019
Attention Forcing for Sequence-to-sequence Model Training Qingyun Dou Yiting Lu Joshua Efiong Mark Gales 62 6 0 26 Sep 2019
Fine-grained robust prosody transfer for single-speaker neural text-to-speech V. Klimkov S. Ronanki Jonas Rohnke Thomas Drugman AI4TS 89 82 0 04 Jul 2019
A Neural Vocoder with Hierarchical Generation of Amplitude and Phase Spectra for Statistical Parametric Speech Synthesis Yang Ai Zhenhua Ling 123 29 0 23 Jun 2019
MoGlow: Probabilistic and controllable motion synthesis using normalising flows G. Henter Simon Alexanderson Jonas Beskow 94 98 0 16 May 2019
In Other News: A Bi-style Text-to-speech Model for Synthesizing Newscaster Voice with Limited Data N. Prateek Mateusz Lajszczak Roberto Barra-Chicote Thomas Drugman Jaime Lorenzo-Trueba Thomas Merritt S. Ronanki Trevor Wood 78 30 0 04 Apr 2019
Data Efficient Voice Cloning for Neural Singing Synthesis Merlijn Blaauw J. Bonada R. Daido 137 33 0 19 Feb 2019
Effect of data reduction on sequence-to-sequence neural TTS Javier Latorre Jakub Lachowicz Jaime Lorenzo-Trueba Thomas Merritt Thomas Drugman S. Ronanki Klimkov Viacheslav 92 59 0 15 Nov 2018