An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement

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

Volumn , Issue , 2014, Pages 4488-4492

  Tanaka, Kou ^a   Toda, Tomoki ^a   Neubig, Graham ^a   Sakti, Sakriani ^a   Nakamura, Satoshi ^a  

^a NARA INSTITUTE OF SCIENCE AND TECHNOLOGY   (Japan)

Author keywords

electrolaryngeal speech; hybrid approach; speaking aid; statistical excitation prediction; unvoiced voiced information

Indexed keywords

ACOUSTIC NOISE; NOISE ABATEMENT; SIGNAL FILTERING AND PREDICTION; SPEECH; SPEECH ENHANCEMENT;

ELECTROLARYNGEAL SPEECH; EXCITATION PARAMETERS; HYBRID APPROACH; MECHANICAL EXCITATIONS; NOISE REDUCTION METHODS; SPEAKING AID; SPECTRAL PARAMETERS; UNVOICED/VOICED INFORMATION;

FORECASTING;

EID: 84905252904     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2014.6854451     Document Type: Conference Paper

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