Voice recognition focusing on vowel strings on a fixed-point 20-MIPS DSP board

This paper describes a smart recognition system which performs character matching by replacing speech parameters with the five Japanese vowels and a few consonant categories. The proposed algorithm can make speaker-independent voice recognition. The algorithm has an advantage over the conventional speaker-independent word recognition system because it can reduce the required memory to about 0.5% of the conventional algorithm for storing the reference templates and for the instruction set, and can be performed even in a low-speed processor. We implemented this recognition algorithm in a fixed-point, 20 MIPS digital signal processor board with a 9-k×16-bit on-chip RAM. Recognition experiments using 20 Japanese city names had a 90.3% accuracy. Such an accuracy is good enough for a voice control system