Phoneme recognition using neural networks
Denise Vassallo, Edward Gatt · 2008
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.