DocumentCode
3383085
Title
Phoneme recognition using neural networks
Author
Vassallo, Denise ; Gatt, Edward
Author_Institution
Dept. of Microelectron., Univ. of Malta, Msida
fYear
2008
fDate
Aug. 31 2008-Sept. 3 2008
Firstpage
506
Lastpage
509
Abstract
A phoneme recognition system using an anti-symmetric multi-stage filter bank structure is presented. In a filter bank the input signal is convolved with digital filters having different cut-off frequencies so that the signal is analysed at different frequencies with different resolutions. The percentage energy content in each signal decomposition level is calculated and used as input to the artificial neural network for phoneme recognition.
Keywords
channel bank filters; neural nets; signal resolution; speech recognition; antisymmetric multi-stage filter bank structure; digital filters; neural networks; phoneme recognition; signal decomposition level; Artificial neural networks; Cutoff frequency; Discrete wavelet transforms; Filter bank; Loudspeakers; Neural networks; Signal analysis; Signal resolution; Speech coding; Speech recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2008. ICECS 2008. 15th IEEE International Conference on
Conference_Location
St. Julien´s
Print_ISBN
978-1-4244-2181-7
Electronic_ISBN
978-1-4244-2182-4
Type
conf
DOI
10.1109/ICECS.2008.4674901
Filename
4674901
Link To Document