Speech recognition using the extraction of particular feature by the discrete wavelet transform
Yoichi Midorikawa, Masanori Akita · International Journal of Applied Electromagnetics and Mechanics · 2001
We have proposed the method for recognition of the signals polluted with noise using modification of spectral envelopes shape. However, these spectral envelopes have wrong valleys. For that reason recognition rate is not improved. There is plenty of scope for improvement. In this paper, we propose that method for extracting particular feature by the discrete wavelet transform. (Wavelet transform is widely used for the extraction of particular feature from data.) Pattern recognition rate is improved by the new method. It was shown that the wavelet analysis was one of the promising methodologies for the pattern recognition noisy signal.