For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Alaryngeal Speech Enhancement Using Pattern Recognition Techniques
Gualberto AGUILAR Mariko NAKANO-MIYATAKE Hector PEREZ-MEANA
IEICE TRANSACTIONS on Information and Systems
Publication Date: 2005/07/01
Print ISSN: 0916-8532
Type of Manuscript: Special Section LETTER (Special Section on Recent Advances in Circuits and Systems--Part 1)
Category: Biomedical Circuits and Systems
speech enhancement, artificial larynx, multilayer perceptron, alaryngeal speech,
Full Text: PDF(932.5KB)
>>Buy this Article
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.