Estimation of articulatory parameters by table look-up method and its application for speaker independent phoneme recognition

Estimation of articulatory parameters by table look-up method and the phoneme recognition of unspecified speakers are described. Speech recognition using features in articulatory level is effective respecting adaptability to unspecified speakers and simplicity to compensate co-articulation. However, estimation of the parameter requires a lot of time. In the method, first the articulatory domain is quantized into finite centroids obtained by clustering technique and table search is carried out. It enabled shortening of estimation time but still maintain the same degree of preciseness obtained in the earlier method. Further, a recognition method considering compensation of co-articulation is examined. Phoneme recognition rate of 50 city names uttered by 8 speakers, 4 males and 4 females was 90.8%.