Stop consonant classification by dynamic formant trajectory
Yanli Zheng, Mark Hasegawa‐Johnson, Sarah Borys · 2004
LPC analysis is one of the most powerful techniques in speech analysis. Spectral zeros during consonant or consonant-vowel transition regions introduce difficulties in estimating LPC parameters. In this paper, we propose to estimate formant frequencies from LPC model by MUSIC (Multiple Signal Classification) and ES-PRIT (Estimation of Signal Parameters via Rotational Invariance Techniques). Formant candidates estimated by LS (Least Square), MUSIC and ESPRIT are combined to find an optimal solution. The effectiveness of this algorithm is verified by place classification task of stop consonants. 1. OVERVIEW Classification of stop consonants remains one of the most challenging problems in speech recognition. Halberstadt (1998) [3] reported classification of phones in the TIMIT database using heterogeneous