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Here, Fig. 16 shows a scatter plot of the per speaker mean NAQ for neutral versus speaker mean NAQ for physical task stress.
AirPlay is more common in high-end audio systems, partly because adding the technology contributes significant costs to a product — at least $30 per speaker system or receiver sold, according to one manufacturer.
I would tolerate these Presidential utterances much as I did the statements of sports figures who credited the Lord for their winning maneuvers, as long as they adhered to limits that networks traditionally observe, of one invocation of the divine per speaker per game.
Cepstral mean subtraction was applied per speaker.
Figure 1 The number of utterances per speaker.
The duration per speaker and story is about 30 s.
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Then, cepstral mean subtraction is applied on a per-speaker basis.
To validate this assumption empirically, we examined the per-speaker scatter of the DNN and CNN recognition scores.
We append (first and second order) derivatives and perform per-speaker mean normalization before using them for HMM/GMM training.
Analyzing the results, we found that switching from the DNN to the CNN not only increased the mean of the per-speaker recognition accuracies but also decreased their variance by about 5.7%%.
In the baseline systems, the acoustic signal is parameterized with standard 13-dimensional MFCC features, combined with their first- and second-order derivatives, and means are normalized per-speaker.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com