Titlebook: DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement; Richard C. Hendriks,Timo Gerkmann,Jesper Jensen Book 2013 Sprin

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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

Culmination

Influx

样式

978-3-031-01436-9Springer Nature Switzerland AG 2013

赏心悦目

lattice

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

预定

Speech Presence Probability Estimation, . (.) is a function of the clean speech DFT coefficients, such as the magnitude . (.) = A, P (. |.) is the . SPP,E(. (.)|., .) = 0 [85] and E.|Y, .) is realized by the estimators in Sec. 4.4. For a discussion of the special case . = log (A) see also [84]. In this section we aim at deriving estimato

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DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement