A New Method for Model Selection in Speech Recognition

摘要：

A new method based on model selection for acoustic model training is proposed.The MPE trained model and the MLE trained model is used for model selection for the following training. The selection criteria is based on the ratio of the inter-variance to the intra-variance of each model. Besides we also propose a cluster method for the model in order to get the accuracy information for the weight calculation. The experiments demonstrate that the new model can get better performance than any of the directly trained models.

关键词： Model selection MPE MLE speech recognition

作者: Yahui WU Gang LIU Jun GUO

作者单位: Pattern Recognition and Intelligent System Laboratory,Beijing University of Posts and Telecommunications,Beijing,China

会议类型: 国际会议

会议名称: The 2008 IEEE International Conference on Natural Language Processing and Knowledge Engineering(IEEE NLP-KE 2008)(2008IEEE自然语言处理与知识工程国际会议)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-19（万方平台首次上网日期，不代表论文的发表时间）