Utterance Verification On DTW Based Speech Recognition Using Likelihood

摘要：

Utterance verification provides the speech recognition system a user-friendly interaction. However, smallvocabulary system using DTW algorithm cannot afford HMM based utterance verification. So, to equip the DTW based recognizer with effective utterance verification becomes an essential problem in a low computational application. We proposed a new utterance verification method, combining both statistic and distance measure capability, to map DTW distance to a certain likelihood. The likelihood as a confidence measure performs a good ability of both speech recognition and utterance verification. With a test set of fifteen words, at 5.24％ false rejection, the verification method brought on 10.44％ false alarm rate and 93.61％ accuracy. Furthermore, 94.76％ out-of-vocabulary utterances were correctly rejected.

关键词： utterance verification speech recognition DTW algorithm likelihood

作者: Qian Liu Zhang-qin Huang Yi-bin Hou Rui Chen

作者单位: Embedded Software System Institute Beijing University of Technology, Beijing, China

会议类型: 国际会议

会议名称: The 2010 International Conference on Computer Application and System Modeling(2010计算机应用与系统建模国际会议 ICCASM 2010)

会议地点: 太原

会议语种:英文

页码: 427-431

在线出版日期: 2010-10-22（万方平台首次上网日期，不代表论文的发表时间）