The effect of fundamental frequency on Mandarin speech recognition

Abstract

We study the effects of modeling tone in Mandarin speech recognition. Including the neutral tone, there are 5 tones in Mandarin and these tones are syllable-level phenomena. A direct acoustic manifestation of tone is the fundamental frequency (f0). We will report on the effect of f0 on the acoustic recognition accuracy of a Mandarin recognizer. In particular, we put f0, its first derivative (f0 ¢ ), and its second derivative (f0 ¢¢ ) in separate streams of the feature vector. Stream weights are adjusted to investigate the individual effects of f0, f0 ¢ , and f0 ¢¢ to recognition accuracy. Our results show that incorporating the f0 feature negatively impacted accuracy, whereas f0’ increased accuracy and f0’’ seemed to have no effect.