Chinese is a tonal language， and the tone information is very important for the recognition of Chinese speech.Conventional methods generally focus on the normal tone in reading speech，rather than on the complicated spontaneous speech specifically. The real-context model is proposed as a new concept to be used in the tone unit selection. Then a method based on hierarchical clustering is performed to generate a more refined tone model. Experimental results have proved the effectiveness of the methods.