화자인식에서 차분을 이용한 새로운 데이터 추출 방법 = New Data Extraction Method using the Difference in Speaker Recognition

다국어 초록 (Multilingual Abstract)

This paper proposes the method to extract new feature vectors using the difference between the cepstrum for static characteristics and delta cepstrum for dynamic characteristics in speaker recognition (SR). The difference vector (DV) which it proposes from this paper is containing the static and the dynamic characteristics simultaneously at the intermediate characteristic vector which uses the deference between the static and the dynamic characteristics and as the characteristic vector which is new there is a possibility of doing. Compared to the conventional method, the proposed method can achieve new feature vector without increasing of new parameter, but only need the calculation process for the difference between the cepstrum and delta cepstrum. Experimental results show that the proposed method has a good performance more than 2.03%, on average, compared with conventional method in speaker identification (SI).

목차 (Table of Contents)

• ABSTRACT
• 1. 서론
• 2. 전처리 과정에서의 특징벡터
• 3. 특징벡터간 차분을 이용한 새로운 특징값 추출
• 4. 실험 결과
• 5. 결론
• 참고문헌