Segment selection method based on tonal validity evaluation using machine learning for concatenattve speech synthesis

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

Volumn , Issue , 2008, Pages 4617-4620

  Yoshida, Akihiro ^a   Mizuno, Hideyuki ^a   Mano, Kazunori ^a  

^a NTT CORPORATION   (Japan)

Author keywords

Accent; Eoncatenative speech synthesis; Machine learning; Segment selection

Indexed keywords

ACOUSTICS; ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; ROBOT LEARNING; SIGNAL PROCESSING; SPEECH; SPEECH ANALYSIS; SPEECH SYNTHESIS;

ACCENT; EONCATENATIVE SPEECH SYNTHESIS; MACHINE LEARNING; SEGMENT SELECTION;

SUPPORT VECTOR MACHINES;

EID: 51549102206     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2008.4518685     Document Type: Conference Paper

References (8)

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