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.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한전자공학회 IEIE Transactions on Smart Processing & Computing IEEK Transactions on Smart Processing & Computing Vol.2 No.4
- 발행연도
- 2013.8
- 수록면
- 197 - 202 (6page)
이용수
초록· 키워드
오류제보하기
Large gains in speech intelligibility can be obtained using the SNR-based binary mask approach. This approach retains the time-frequency (T-F) units of the mixture signal, where the target signal is stronger than the interference noise (masker) (e.g., SNR > 0 dB), and removes the TF units, where the interfering noise is dominant. This paper introduces two alternative binary masks based on the distortion constraints to improve the speech intelligibility. The distortion constraints are induced by a gain function for estimating the short-time spectral amplitude. One binary mask is designed to retain the speech underestimated T-F units while removing the speech overestimated TF units. The other binary mask is designed to retain the noise overestimated T-F units while removing noise underestimated T-F units. Listening tests with oracle binary masks were conducted to assess the potential of the two binary masks in improving the intelligibility. The results suggested that the two binary masks based on distortion constraints can provide large gains in intelligibility when applied to noise-corrupted speech.
목차
Abstract
1. Introduction
2. SNR-based binary mask
3. Binary mask criteria based on speech/noise constraints
4. Intelligibility listening tests
5. Conclusion
References
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UCI(KEPA) : I410-ECN-0101-2015-560-001361268