Speech recognition processors using fuzzy pattern matching

A set of LSIs for speech recognition using binary time spectrum pattern (BTSP) and pattern matching based on fuzzy theory (fuzzy pattern matching) is described. The set offers both speaker-dependent and -independent voice-recognition capabilities by changing the external program ROM. In the speaker-dependent case it has up to 1000 in the vocabulary (recognition rate 95%), while in the independent case it has a 120-word vocabulary (recognition rate 92%). The set consists of two processors: one extracts voice features and generates BTSPs, the other has a 16-bit CPU core for recognition and a unit for calculating similarity. The LSI set needs external ROM and RAM. The former stores recognition, control, and other application programs while latter stores voice templates.<>