- TBE 모델을 사용하는 HMM 기반 음성합성기 성능 향상을 위한 하모닉 선택에 기반한 MVF 예측 방법
- ㆍ 저자명
- 박지훈,한민수,Park. Jihoon,Hahn. Minsoo
- ㆍ 간행물명
- 말소리와 음성과학
- ㆍ 권/호정보
- 2012년|4권 4호|pp.79-86 (8 pages)
- ㆍ 발행정보
- 한국음성학회
- ㆍ 파일정보
- 정기간행물| PDF텍스트
- ㆍ 주제분야
- 기타
In the two-band excitation (TBE) model, maximum voiced frequency (MVF) is the most important feature of the excitation parameter because the synthetic speech quality depends on MVF. Thus, this paper proposes an enhanced MVF estimation scheme based on the peak picking method. In the proposed scheme, the local peak and the peak lobe are picked from the spectrum of a linear predictive residual signal. The normalized distance between neighboring peak lobes is calculated and utilized as a feature to estimate MVF. Experimental results of both objective and subjective tests show that the proposed scheme improves synthetic speech quality compared with that of the conventional one.