Deep Learning-Based Analysis of Glottal Attack and Offset Times in Adductor Laryngeal Dystonia.

Yousef, Ahmed M; Deliyski, Dimitar D; Zayernouri, Mohsen; Zacharias, Stephanie R C; Naghibolhosseini, Maryam

Yousef, Ahmed M; Deliyski, Dimitar D; Zayernouri, Mohsen; Zacharias, Stephanie R C; Naghibolhosseini, Maryam.

Afiliação

Yousef AM; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan.
Deliyski DD; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan.
Zayernouri M; Departments of Mechanical Engineering & Statistics and Probability, Michigan State University, East Lansing, Michigan.
Zacharias SRC; Head and Neck Regenerative Medicine Program, Mayo Clinic, Scottsdale, Arizona; Department of Otolaryngology-Head and Neck Surgery, Mayo Clinic, Phoenix, Arizona.
Naghibolhosseini M; Department of Communicative Sciences and Disorders, Michigan State University, East Lansing, Michigan. Electronic address: naghib@msu.edu.

J Voice ; 2023 Nov 15.

Article em En | MEDLINE | ID: mdl-37977969

Palavras-chave

Adductor laryngeal dystonia; Connected speech; Deep learning; Glottal attack/offset time; High-speed videoendoscopy; Laryngeal imaging

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: J Voice Assunto da revista: OTORRINOLARINGOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de publicação: Estados Unidos

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