Speaker-independent word recognizer

Details Speaker-independent word recognizer Speaker-independent word recognizer

1983-04-13

1988-08-09

Kemeny, Emanuel S.

Boots, shoes, and leggings

381 43, G10L 500

Patent

active

047632780

ABSTRACT:
Speaker-independent word recognition is performed, based on a small acoustically distinct vocabulary, with minimal hardware requirements. After a simple preconditioning filter, the zero crossing intervals of the input speech are measured and sorted by duration, to provide a rough measure of the frequency distribution within each input frame. The distribution of zero crossing intervals is transformed into a binary feature vector, which is compared with each reference template using a modified Hamming distance measure. A dynamic time warping algorithm is used to permit recognition of various speaker rate, and to economize on the reference template storage requirements. A mask vector for each reference template is used to ignore insignificant (or speaker-dependent) features of the words detected.

REFERENCES:
patent: 3553372 (1971-01-01), Wright et al.
patent: 4256924 (1981-03-01), Sakoe
patent: 4363102 (1982-12-01), Holmgren et al.
patent: 4477925 (1984-10-01), Avery et al.
patent: 4528688 (1985-07-01), Ichikawa et al.
Flanagan, Speech Analysis, Synthesis and Perception Springer-Verlag, New York, 1972, pp. 192-204.

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