Proceedings of the KSPS conference (대한음성학회:학술대회논문집)
- 2006.05a
- /
- Pages.139-142
- /
- 2006
Korean Speaker Verification Using Speaker Adaptation Methods
화자 적응 기술을 이용한 한국어 화자 확인
- Choi Dong-Jin (Voice Interface Laboratory, CS Division, KAIST) ;
- Oh Yung-Hwan (Voice Interface Laboratory, CS Division, KAIST)
- Published : 2006.05.01
Abstract
Speaker verification systems can be implemented using speaker adaptation methods if the amount of speech available for each target speaker is too small to train the speaker model. This paper shows experimental results using well-known adaptation methods, namely Maximum A Posteriori (MAP) and Maximum Likelihood Linear Regression (MLLR). Experimental results using Korean speech show that MLLR is more effective than MAP for short enrollment utterances.
Keywords