Efficient tone classification of speaker independent continuous Chinese speech using anchoring based discriminating features

Anchoring based discriminating features were proposed efficient for tone discrimination of Chinese continuous speech, and have been successfully applied before to tone classification of speaker dependent experiment. This paper presents its application to speaker independent tone classification experiments. Furthermore, we made detailed comparison experiments on the efficiencies of three groups of features: the left context dependent, the right context dependent anchoring F0 features, and the conventional F0 features. Experimental results showed that a combination of all three groups achieved a significant improvement of absolute 6.4% from 82.6% by the baseline system to 89.0%. When the three groups of features are used individually, both groups of the anchoring features led to better results than the conventional features, and the left context dependent anchoring features led to the highest performance.