지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록· 키워드
오류제보하기
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.
목차
ABSTRACT
1. 서론
2. 기존의 MVF 예측 방법과 문제점
3. 제안하는 MVF 예측 방법
4. 실험 환경 및 결과
5. 결론
참고문헌
참고문헌 (14)
참고문헌 신청
Hunt, A / 1996 / Unit selection in a concatenativespeech synthesis system using a large speech database / Proc.IEEE ICASSP 1:959~962
Tokuda, K. / 1995 / Speechparameter generation form HMM using dynamic features / Proc.IEEE ICASSP 1:660~663
Tokuda, K. / 1995 / An algorithm for speech parameter generation fromcontinuous mixture HMMs with dynamic features / Proc.Eurospeech 1:757~760
Tokuda, K. / 2002 / An HMM-basedspeech synthesis system applied to English / Proc. IEEEWorkshop on Speech Synthesis :227~230
Fukada, T. / 1992 / Anadaptive algorithm for mel-cepstral analysis of speech / Proc.ICASSP 1:137~140
Tokuda, K. / 1995 / Speechparameter generation form HMM using dynamic features / Proc.IEEE ICASSP 1:660~663
Tokuda, K. / 1995 / An algorithm for speech parameter generation fromcontinuous mixture HMMs with dynamic features / Proc.Eurospeech 1:757~760
Tokuda, K. / 2002 / An HMM-basedspeech synthesis system applied to English / Proc. IEEEWorkshop on Speech Synthesis :227~230
Fukada, T. / 1992 / Anadaptive algorithm for mel-cepstral analysis of speech / Proc.ICASSP 1:137~140
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UCI(KEPA) : I410-ECN-0101-2014-701-000640007