Phonetic posteriorgram-based voice conversion system to improve speech intelligibility of dysarthric patients.

Zheng, Wei-Zhong; Han, Ji-Yan; Lee, Chen-Kai; Lin, Yu-Yi; Chang, Shu-Han; Lai, Ying-Hui

Zheng, Wei-Zhong; Han, Ji-Yan; Lee, Chen-Kai; Lin, Yu-Yi; Chang, Shu-Han; Lai, Ying-Hui.

Afiliación

Zheng WZ; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Han JY; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Lee CK; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Lin YY; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Chang SH; Monte Vista Christian School, CA, USA.
Lai YH; Department of Biomedical Engineering, National Yang Ming Chiao Tung University, Taipei, Taiwan; Medical Device Innovation & Translation Center, National Yang Ming Chiao Tung University, Taipei, Taiwan. Electronic address: yh.lai@nycu.edu.tw.

Comput Methods Programs Biomed ; 215: 106602, 2022 Mar.

Article en En | MEDLINE | ID: mdl-35021138

Asunto(s)

Inteligibilidad del Habla; Voz; Disartria; Humanos; Fonética; Medición de la Producción del Habla

Palabras clave

Deep learning; Dysarthric patient; Phonetic posteriorgram; Voice conversion

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Inteligibilidad del Habla / Voz Límite: Humans Idioma: En Revista: Comput Methods Programs Biomed Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Taiwán Pais de publicación: Irlanda

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