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Alaryngeal Speech Enhancement Using Pattern Recognition Techniques

Gualberto AGUILAR, Mariko NAKANO-MIYATAKE, Hector PEREZ-MEANA

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Summary :

An alaryngeal speech enhancement system is proposed to improve the intelligibility and quality of speech signals generated by an artificial larynx transducer (ALT). Proposed system identifies the voiced segments of alaryngeal speech signal, by using pattern recognition methods, and replaces these by their equivalent voiced segments of normal speech. Evaluation results show that proposed system provides a fairly good improvement of the quality and intelligibility of ALT generated speech.

Publication
IEICE TRANSACTIONS on Information Vol.E88-D No.7 pp.1618-1622
Publication Date
2005/07/01
Publicized
Online ISSN
DOI
10.1093/ietisy/e88-d.7.1618
Type of Manuscript
Special Section LETTER (Special Section on Recent Advances in Circuits and Systems--Part 1)
Category
Biomedical Circuits and Systems

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