Focused word spotting in spoken Korean based on fundamental frequency

Abstract

Focused word spotting makes a contribution to keyword extraction and speech understanding in spoken Korean. The average and variance of fundamental frequency were expected to be important factors to detect verbal focus of a speaker. From the experiment of focused word spotting in each sentence by statistically modeling those factors, I achieved a spotting accuracy of 84%.