摘要
本文提出一种基于词格信息的置信度计算方法,估计自适应语音识别结果的可靠性,将不可靠的语音从自适应训练集中去掉,从而减小无监督自适应与有监督自适应间的性能差异,提高无监督自适应的性能。
Speaker adaptation is an effective means of improving the performance of a speech recognition system. A word lattice based confidence measurement is proposed in this paper to evaluate the reliability of the recognition result and to remove the unreliable speech from the adaptation speech corpus. Then the difference between supervised and unsupervised adaptations is reduced,and the recognition rate of unsupervised recognition is increased.
出处
《计算机工程与科学》
CSCD
2005年第9期93-96,共4页
Computer Engineering & Science
基金
2003年国家星火计划资助项目(2003EA760004)
关键词
语音识别
说话人自适应
置信度
speech recognition
speaker adaptation
confidence measurement
