Fuzzy logic enhanced symmetric dynamic programming for speech recognition

Fuzzy logic allows effective decision making in the presence of uncertainty. Identifying spoken words, even in an ideal environment by a trained speaker, is a complex task filled with uncertainty. The speech waveform is nonlinear and variant, removing the possibility of simple analysis. Dynamic programming is a time normalization technique that allows static templates to be used to identify spoken words. Fuzzy logic enhancements enable the technique to handle noise and quantization errors better and improves classification accuracy. An important consequence of using a fuzzy based system is that the system´s confidence in its identification can be used to accept the identification or to request further information