DocumentCode
3202767
Title
Speech recognition using frequency transformations
Author
Fuentes, Jorge Salomon ; Tsang, Chit-Sang
fYear
2009
fDate
7-14 March 2009
Firstpage
1
Lastpage
10
Abstract
This paper discusses the use of frequency transformations and pattern recognition to improve the accuracy of single speaker multiple word speech recognition systems. A speaker database with 124 words is used to show the performance of the speech recognition system. Signal processing and speech signal processing techniques are used to improve the effectiveness of the speech recognizer. This algorithm has applications in other areas of aerospace due to its accuracy, ease of hardware implementation, and simplicity.
Keywords
database languages; signal processing; speech recognition; frequency transformations; hardware implementation; pattern recognition; speaker database; speech recognition; speech signal processing; Biomedical signal processing; Databases; Frequency domain analysis; Loudspeakers; Pattern recognition; Sampling methods; Signal processing algorithms; Speech processing; Speech recognition; Speech synthesis;
fLanguage
English
Publisher
ieee
Conference_Titel
Aerospace conference, 2009 IEEE
Conference_Location
Big Sky, MT
Print_ISBN
978-1-4244-2621-8
Electronic_ISBN
978-1-4244-2622-5
Type
conf
DOI
10.1109/AERO.2009.4839411
Filename
4839411
Link To Document