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And thanks to the unique "Clear Audio" and "Digital Linear Phase Speaker System" technologies in the S Series, this new model carries on Sony's legacy of superior sound quality, both inside and out.
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Because listeners knew in advance of each test phase which speaker would be speaking, we expected stronger retrieval of the precedent in the same-speaker condition (i.e., speaker identity serving as a further retrieval cue).
The sentences were read aloud by different speakers to those encountered in the study phase, half by a male speaker and half by a female speaker.
The speaker for each phase was always announced before the start of the phase and remained the same throughout the phase.
Furthermore, reference data for phase asymmetries in normophonic speakers as assessed with this method are provided.
The location detection algorithm is derived from a previous work (2006), where Gaussian mixture models (GMMs) are used to model location-dependent and content and speaker-independent phase difference distributions.
Every time you add another set of speakers, the phase problems quadruple.
During testing phase, the likelihood of unknown speaker's features with each of the GMM models is determined.
Several NLD and phonetic features show significant correlations to KSS ratings, e.g., from the NLD features for male speakers the skewness of vector length within reconstructed phase space (r=.56), and for female speaker the mean of Cao's minimum embedding dimensions (r=−.39).
The separate conversion models are used for mapping the magnitude and phase feature vectors of the source speaker to that of the target speaker.
Testing phase makes use of the speaker-adapted model.
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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