Improvement of Centric Clipping For Chinese Sound Tone Recognitionwith Adaptive Speaking Speed

Centric clipping is an effective method to detect speech signals pitch and to recognize Chinese sound tone. In practice, the feature of the sound tone of person has a great difference; recognition correct rate to Chinese sound tone by many methods is still very low. In this paper, a new improvement for centric clipping is presented from four aspects: the first one is improvement of continuity of the speech pitch by limiting change range of successive frame; the second one is evaluation of the quality of prominent feature for peak value of speech pitch, the third one is enhancement of self-adaptive ability to all kinds of the characteristic variations by using a new model structure of tone parameters. The last one is improvement of general centric clipping and application of L1 correlative technique on the feature parameter of the sound tone. In addition, the authors use integrated evaluation technique with the start frame. This paper discusses the new method and conforms the efficiency by practical test results