2006년 컴퓨터종합학술대회
Current Result Document : 4 / 4
| 한글제목(Korean Title) |
Rao-Blackwellized particle filter를 이용한 순차적 음성 강조 |
| 영문제목(English Title) |
Rao-Blackwellized Particle Filtering for Sequential Speech Enhancement |
| 저자(Author) |
박선호
최승진
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| 원문수록처(Citation) |
VOL 33 NO. 01 PP. 0151 ~ 0153 (2006. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
we present a method of sequential speech enhancement, where we infer clean speech signal using a Rao-Blackwellized particle filter (RBPF), given a noise-contaminated observed signal. In contrast to Kalman filtering-based methods, we consider a non-Gaussian speech generative model that is based on the generalized auto-regressive (GAR) model. Model parameters are learned by a sequential Newton-Raphson expectation maximization (SNEM), incorporating the RBPF. Empirical comparison to Kalman filter, confirms the high performance of the proposed method.
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| 키워드(Keyword) |
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| 파일첨부 |
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