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We assume that our development set consists of speech samples from N speakers each having J sessions, though the number of sessions J could be different for each speaker.
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To reduce the computational cost, N speaker models with the highest likelihood are obtained using a GSS without tuning (that is, α=n=1).
The model considers two independent mechanisms behind each TRF event: How many retweets n of Speaker S did the Listener L receive?
Opportunities for collaboration with biomedical peers and training about this topic were offered in 16 schools, mostly in the form of invited speakers (n = 8) and internships (n = 6).
Coverage of the N-best speaker recognitions is illustrated in Figure 4b.
Only these N-best speaker models are used to calculate the likelihood using GSS with other compensation parameters.
In the experiment number of speakers N is equal to 30.
n The little speakers in the iMac are the worst I've heard in years on a desktop PC, just slightly less tinny than the ones in typical laptops.
where ( overline{f_{n,s}} ) is a normalized value of the feature f n for sth speaker, μ and σ are mean and standard deviation of the variable f n in the examined population.
(Subjects with MSPSS done, mean substitution of occasional missing items: whole sample (n = 581), Chichewa speakers (n = 268) and Chiyao speakers (n = 313)).
Habitual stems appear to have been widely integrated into the aspectual system as well, yielding forms such as the Kabyle aď yə-tt-af 'he will keep finding.' Infixes are used to denote position relative to the speaker, with the marker -d- indicating nearness or motion toward the speaker, while -n(n)- shows distance or motion away from the 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