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For each speaker, there are four dialogues with different tasks.
For each speaker, there are two examples of the same utterance.
Similar(58)
The more speakers there are, of course the more social media hits there are and the conference is suddenly "trending".
Abbott: Madam Speaker, there are no changes to pensions in this term of parliament.
Mr. Speaker, there are guns and armed customs guards on that border — surely that is not what she has in mind?
Fig. 11 The normalized amplitude quotient (NAQ) shift versus exertion level: each point represents one speaker; there is significant variability in mean NAQ shift across speakers; however, this is not correlated with exertion level, with a correlation value of r = 0.108.
Fig. 12 The harmonic richness factor (HRF) shift versus exertion level: each point represents one speaker; there is significant variability in mean HRF shift across speakers; however, this is not correlated with exertion level, with a correlation value of r = −0.012.
Across dialects and speakers there is great variability in the way classifiers are used for the same words, and speakers often do not agree which classifier is best.
So every time there is a new speaker, there is a different tempo and a different key.
In 1995, for instance, after Newt Gingrich became speaker, there was this feeling that there'd been too much government regulation.
Mr. Speaker, there's no more serious an issue for Congress to debate than the question of authorizing the use of America's armed forces.
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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