SPECTRAL MOVEMENT FUNCTION AN APPLICATION TO SPEECH RECOGNI
Kiyoaki Aikawa, Sadaoki Furui · 1988
In this paper we propose a new mathematical. method for extracting spectral. movement in a timesequence of speech spectrum. The spectral. movement is characterized by the time and frequency derivative of a time-sequence of Log spectrum envelopes. Spectral. movement direction. t he movement toward a higher or a Lower frequency region, can be identified by the sign of the proposed function. A parameter which can be used for speech segmentation is derived from this function. A distance measure for speech recognition is also derived as the Euclidean distance between two spectral. movement patterns e xtracted by the proposed function. This distance is easiLy caLcuLated using cepstrum coefficients. Speech recognition results using Dynamic Time Warping (DTW) tempLate matching with this new distance measure indicate t hat recognition error rate can be reduced to Less than haLf compared with the conventionaL EucLidean cepstrum distance measure.