Oct 30, 2018 · This paper focuses on using voice conversion (VC) to improve the speech intelligibility of surgical patients who have had parts of their articulators removed.
Abstract. This paper focuses on using voice conversion (VC) to improve the speech intelligibility of surgical patients who have had parts of.
This paper proposes a new approach for unparallel VC that transforms impaired speech to normal speech while preserving the linguistic content and speaker ...
In a later study, Chen et al. (2018) introduced a GAN-based conversational model that improves impaired speech caused by missing articulators. The model ...
Oct 30, 2018 · The proposed approach transforms impaired speech to normal speech while preserving the linguistic content and speaker characteristics. To our ...
ISGAN. Official implementation of Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech. About. No description, website, or ...
Aug 22, 2019 · This paper1 focuses on using voice conversion (VC) to improve the speech intelligibility of surgical patients who have had parts of.
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This paper presents a comprehensive review of the novel and emerging GAN-based speech frameworks and algorithms that have revolutionized speech processing.
Generative adversarial networks for unpaired voice transformation on impaired speech. LW Chen, HY Lee, Y Tsao. arXiv preprint arXiv:1810.12656, 2018. 36, 2018.
... Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech", INTERSPEECH, 2019; Che-Ping Tsai, Hung-Yi Lee, Adversarial Learning of ...