Nonlinear Speech Analysis and Modeling for Malayalam Vowel Recognition

This paper presents a novel method for the recognition of Malayalam vowel phonemes using nonlinear speech parameters such as maximal Lyapunov exponent and Phase Space Anti-diagonal Point Distribution. Reconstructed phase space is used as a base for extracting these features. The results show that the proposed nonlinear features have significant discriminatory power. The combined feature vectors of nonlinear feature and MFCC features yield increased recognition accuracy for five Malayalam vowel phonemes.