Phonotatics Based Chinese Dialects Identification
Mingliang Gu · Zhongwen xinxi xuebao · 2006
This paper discusses the criterions for distinguishing different Chinese dialects and the basic features selection firstly.According to these principals,a novel feature named district differential cepstral feature was proposed.Then,a novel dialect identification system combining GMM tokenizer,N-gram language model and ANN is constructed.Compared with traditional LID system,the new system has following characteristics: first,it is unnecessary to use tagged dialects speech database,which becomes less labour-intensive to build corpora.Second,GMM tokenizer is more computationally efficient.Third,the system has more accurate and robust performance.In a test under Chinese dialects classification,averagely 83.8% accuracy is achicved.