Fuzzy Adaptive Learning Control Network for Speaker Verification

摘要：

The performance of a fuzzy adaptive learning control network (FALCON) on speaker verification is investigated. Another objective is also to generate and obtain the fuzzy rule, fuzzy sets for a given set of voice samples. Experiments were carried out to determine how accurate the FALCON rejects a fraudulent speaker who tries to impersonate the genuine person. In addition, the FALCONs acceptance rate is examined when the speakers true voice is tested.

作者: Abdul Wahab Eng Chong Tan Poh Heng Lau Hiok Chai Quek

作者单位: School of Computer Engineering, Nanyang Technological University,Nanyang Avenue, Singapore 639798, Singapore

会议类型: 国际会议

会议名称: 8th International Conference on Neural Information Processing(ICONIP 2001)(第八届国际神经信息处理大会)

会议地点: 上海

会议语种:英文

页码: 974-978

在线出版日期: 2001-11-14（万方平台首次上网日期，不代表论文的发表时间）