DC Field | Value | Language |
---|---|---|
dc.contributor.author | 한, 승호 | - |
dc.contributor.author | 박, 지훈 | - |
dc.contributor.author | 정, 상배 | - |
dc.contributor.author | 한, 민수 | - |
dc.contributor.author | Han, Seungho | - |
dc.contributor.author | Park, Jihoon | - |
dc.contributor.author | Jeong, Sangbae | - |
dc.contributor.author | Hahn, Minsoo | - |
dc.date.accessioned | 2011-11-08T04:25:31Z | - |
dc.date.available | 2011-11-08T04:25:31Z | - |
dc.date.issued | 2007-11 | - |
dc.identifier.citation | 대한음성학회 학술대회논문집 | en |
dc.identifier.uri | http://hdl.handle.net/10203/25523 | - |
dc.description.abstract | HMM-based speech synthesis system models the speech parameters as the context-dependent HMMs. It is important to estimate correctly the MVF in the two-band excitation model because it is one of factors deciding speech quality. In this paper, we describe the HMM-based Korean speech synthesis system and propose the re-estimation method of MVF to estimate more correct MVF. The proposed method produces better quality-speech. And, we describe and analyze the performance of adaptive beamforming algorithms which are GSC -based CCAF, Frost algorithms, the filter bank- based CCAF and filter bank-based Frost algorithm. For the performance evaluation, the SNR and BSD are measured. Filter bank-based frost algorithm shows the best performance. | en |
dc.language.iso | ko | en |
dc.publisher | 대한음성학회 | en |
dc.title | HMM 합성 기술과 마이크로폰 어레이 기반 잡음 제거 기술에 관한 연구 | en |
dc.title.alternative | A Study of HMM-based Speech Synthesis and Microphone Array-based Noise Reduction | en |
dc.type | Article | en |
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