Title :
Phoneme recognition using neural networks
Author :
Vassallo, Denise ; Gatt, Edward
Author_Institution :
Dept. of Microelectron., Univ. of Malta, Msida
fDate :
Aug. 31 2008-Sept. 3 2008
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;
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
DOI :
10.1109/ICECS.2008.4674901
