대한음성학회:학술대회논문집 (Proceedings of the KSPS conference)
- 대한음성학회 2003년도 5월 학술대회지
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- Pages.79-82
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- 2003
BMS 알고리즘을 이용한 거절기능 성능 향상
Improvement of Confidence Measure Performance using Background Model Set Algorithm
- 발행 : 2003.05.01
초록
In this paper, we proposed Backgorund Model Set algorithm for the speaker verification to improve the shortcoming of calculating process in conventional confidence measure(CM). CM is to display relative likelihood between recognized models and unrecognized models. Unrecognized models is known as antiphone models. Calculate probability and standard deviation using all phonemes at process that compose antiphone model. At this process, antiphone CM brought bad result. Also, recognition time increases. In order problem, we studied about method to reconstitute average and standard deviation taking BMS algorithm using antiphoneme that near phoneme of CM calculation.
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