Sentence examples for clean estimate from inspiring English sources

In the second phase, the CDF tables are used to transform the observed noisy coefficient to its clean estimate.

The strength of this design lies in the fact that, like the adoption design, it can give one a clean estimate of one type of effect nonshared environment.

Among the methods compared against our new approach, we include the RNN-based feature enhancement, a feature enhancement based on blind reverberation time estimation, and our previous system which used MDI to produce the initial clean speech estimate.

The clean speech estimate is computed in a minimum mean square error (MMSE) basis using.

Considering that E[x|m, y] is equal to the clean speech estimate computed in (14), and setting it as, {tilde{x}}_m=Eleft[xBig|m,yright] (18).

For each component y k in the observed speech feature vector y, the clean speech estimate can be calculated using Gaussian mixture m as follows.

The clean speech estimate is computed in a minimum mean square error (MMSE) basis using   widehat{x}=Eleft[xBig|yright] (16).

Although DNN and other neural-network-based speech coefficients mapping approach have the potential to produce an accurate clean speech estimate, they rely on a representative parallel speech corpus for training the neural networks.

It is worth noting that Eq. (8) can be interpreted as either reverberating the clean speech estimate, R(S A), or making a linear combination of reverberated speech atoms, (R S A.

where Ω k represents all the CGs which might generate suitable solutions for Gaussian k, and x ̃ t, u, l is the clean speech estimate of the unreliable speech components obtained from CG l.

The BCMI produces the clean speech estimate (hat {mathbf {x}}_{mathrm {u}}) using the conditional distribution p(x u∣x r) with an assumption that the observed noisy speech x u acts as the upper bound for the underlying clean speech.