First International Conference on Spoken Language Processing (ICSLP 90)

Kobe, Japan
November 18-22, 1990

Speaker Independent Isolated Word Recognition Using Local and Global Structural Features

Hiroshi Shimodaira, Yoshio Horiuchi, Masayuki Kimura

Dept. of Information Eng., Faculty of Engineering, Tohoku University, Sendai-shi, Japan

A speaker-independent isolated word recognition system is described which is based on the use of intra-word local and global structural features. The local features are incorporated into the system with using matrix quantization of segment patterns that are obtained by dividing a speech word pattern into partial patterns of equal frame length of about 4. Then global features are incorporated by making use of the correlations between segments. On a data base with a vocabulary of 212 words spoken by 20 speakers (10 male and 10 female), the system shows higher performance in recognition accuracy and processing speed than the system using whole-word template based dynamic time warping (DTW) algorithm.

Full Paper

Bibliographic reference.  Shimodaira, Hiroshi / Horiuchi, Yoshio / Kimura, Masayuki (1990): "Speaker independent isolated word recognition using local and global structural features", In ICSLP-1990, 525-528.