Variation of the Verification Error Rate of Automatic Speaker Recognition System With Voice Conditions

다양한 음성을 이용한 자동화자식별 시스템 성능 확인에 관한 연구

High reliability of automatic speaker recognition regardless of voice conditions is necessary for forensic application. Audio recordings in real cases are not consistent in voice conditions, such as duration, time interval of recording, given text or conversational speech, transmission channel, etc. In this study the variation of verification error rate of ASR system with the voice conditions was investigated. As a result in order to decrease both false rejection rate and false acception rate, the various voices should be used for training and the duration of train voices should be longer than the test voices.