Statistical approach to enhancing esophageal speech based on Gaussian mixture models

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2010, Pages 4250-4253

  Doi, Hironori ^a   Nakamura, Keigo ^a   Toda, Tomoki ^a   Saruwatari, Hiroshi ^a   Shikano, Kiyohiro ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

Eigenvoice conversion; Esophageal speech; Laryngectomees; Speech enhancement; Voice conversion

Indexed keywords

SPEECH INTELLIGIBILITY;

CONVERSION METHODS; EIGENVOICE CONVERSION; EIGENVOICES; ESOPHAGEAL SPEECH; GAUSSIAN MIXTURE MODEL; LARYNGECTOMEES; NOVEL METHODS; SPECTRAL PARAMETERS; STATISTICAL APPROACH; VOICE CONVERSION;

SPEECH ENHANCEMENT;

EID: 78049357967     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2010.5495676     Document Type: Conference Paper

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