自作多情
发表于 2025-3-25 06:56:38
Wolfgang Karl Härdle,Léopold Simarnd . SNR. The quality of the estimated speech signal therefore heavily depends on the accuracy of the noise PSD estimate. The noise PSD can be underestimated or overestimated. An underestimate of . generally leads to an undersuppression of the noisy speech, and an unnecessarily large amount of resid
Cabinet
发表于 2025-3-25 09:44:44
http://reply.papertrans.cn/27/2601/260066/260066_22.png
Culmination
发表于 2025-3-25 12:58:32
http://reply.papertrans.cn/27/2601/260066/260066_23.png
Influx
发表于 2025-3-25 16:16:17
http://reply.papertrans.cn/27/2601/260066/260066_24.png
样式
发表于 2025-3-25 20:07:38
978-3-031-01436-9Springer Nature Switzerland AG 2013
赏心悦目
发表于 2025-3-26 00:19:44
http://reply.papertrans.cn/27/2601/260066/260066_26.png
lattice
发表于 2025-3-26 07:41:02
1932-121X tance of the various building blocks of such a system. This allows the non-expert DSP practitioner to judge the relevance of each building block and to implemen978-3-031-01436-9978-3-031-02564-8Series ISSN 1932-121X Series E-ISSN 1932-1678
辩论的终结
发表于 2025-3-26 11:25:03
http://reply.papertrans.cn/27/2601/260066/260066_28.png
预定
发表于 2025-3-26 14:29:17
Speech Presence Probability Estimation, . (.) is a function of the clean speech DFT coefficients, such as the magnitude . (.) = A, P (. |.) is the . SPP,E(. (.)|., .) = 0 and E.|Y, .) is realized by the estimators in Sec. 4.4. For a discussion of the special case . = log (A) see also . In this section we aim at deriving estimato
GONG
发表于 2025-3-26 19:04:30
DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement