Abstract: Using curve fitting and principal component analysis method,this paper presents a novel ANN-based speech recognition feature.The feature reflects the variation of vocal tract with time.The extraction method simulates the processing of speech information in human auditory system.Compared with other ANN-based recognition features,this new feature not only increase the recognition accuracy but also has following properties:less complex algorithm,less storage memory and easy realization with hard ware.

Key words: principal component analysis, feature extraction, speech recognition, neural network