In this paper,two speech enhancement systems with supergaussian speech modeling are presented. The clean speech components are estimated by Minimum-Mean-Square-Error (MMSE) es-timator under the assumption that the DCT...In this paper,two speech enhancement systems with supergaussian speech modeling are presented. The clean speech components are estimated by Minimum-Mean-Square-Error (MMSE) es-timator under the assumption that the DCT coefficients of clean speech are modeled by a Laplacian or a Gamma distribution and the DCT coefficients of the noise are Gaussian distributed. Then,MMSE estimators under speech presence uncertainty are derived. Furthermore,the proper estimators of the speech statistical parameters are proposed. The speech Laplacian factor is estimated by a new deci-sion-directed method. The simulation results show that the proposed algorithm yields less residual noise and better speech quality than the Gaussian based speech enhancement algorithms proposed in recent years.展开更多
Y2001-62725-766 0119005增音器插入深亚微米 CMOS 中:基于斜道的分析模型和布局灵敏性分析=Repeater insertion in deep sub-mi-cron CMOS:ramp-based analytical model and placementsensitivity analysis[会,英]/Nalamalpu,A.& B...Y2001-62725-766 0119005增音器插入深亚微米 CMOS 中:基于斜道的分析模型和布局灵敏性分析=Repeater insertion in deep sub-mi-cron CMOS:ramp-based analytical model and placementsensitivity analysis[会,英]/Nalamalpu,A.& Burleson,W.//2000 IEEE International Symposium on Circuitsand Systems,Vol.3.—766～769(HC)展开更多
Y2000-62082-502 0007610采用分级矩匹配的片上互连用的噪声察觉增音器插入与线尺寸估计=Noise-aware repeater insertion and wiresizing for on-chip interconnect using hierarchical moment-matching[会,英]/Chen,C.-P.& Meneze...Y2000-62082-502 0007610采用分级矩匹配的片上互连用的噪声察觉增音器插入与线尺寸估计=Noise-aware repeater insertion and wiresizing for on-chip interconnect using hierarchical moment-matching[会,英]/Chen,C.-P.& Menezes,N.//1999Design Automation Conference.—502～506(P)Y99-61677-8 0007611用于超高速源同步总线的互联和封装的建模、模拟和设计方法学=Modeling,simulation,and design method-展开更多
基金the Natural Science Foundation of Jiangsu Province (No.BK2006001).
文摘In this paper,two speech enhancement systems with supergaussian speech modeling are presented. The clean speech components are estimated by Minimum-Mean-Square-Error (MMSE) es-timator under the assumption that the DCT coefficients of clean speech are modeled by a Laplacian or a Gamma distribution and the DCT coefficients of the noise are Gaussian distributed. Then,MMSE estimators under speech presence uncertainty are derived. Furthermore,the proper estimators of the speech statistical parameters are proposed. The speech Laplacian factor is estimated by a new deci-sion-directed method. The simulation results show that the proposed algorithm yields less residual noise and better speech quality than the Gaussian based speech enhancement algorithms proposed in recent years.
文摘Y2001-62725-766 0119005增音器插入深亚微米 CMOS 中:基于斜道的分析模型和布局灵敏性分析=Repeater insertion in deep sub-mi-cron CMOS:ramp-based analytical model and placementsensitivity analysis[会,英]/Nalamalpu,A.& Burleson,W.//2000 IEEE International Symposium on Circuitsand Systems,Vol.3.—766～769(HC)
