The enhancement of wordspotting techniques

This paper presents results of research on the enhancement of speaker independent wordspotting in conversational, telephone bandwidth speech from a variety of talkers. The research involved the comparison of five LPC based parameter sets (filter coefficients, autocorrelation coefficients, cepstral coefficients, vocal tract area functions, and pseudoformants), in three levels of additive white noise, and the evaluation of two methods of noise reduction. The techniques were studied with a dynamic programming based wordspotting system. The performance of the system was measured the percent of keywords spotted with no false alarms. The results show that pseudoformants, without the use of speaker normalization or noise reduction techniques, perform as well as or better than the other parameter sets with these techniques.