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The two speeches had much in common.
Comments on the two speeches carved on the walls.
From this point of view last Saturday's is the more interesting of the two speeches.
This was glaringly obvious in the two speeches that book-ended last week.
But there is still one other difference between the two speeches.
Michael Dukakis, one of Biden's rivals, released a video putting together the two speeches.
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The majority of listeners could not distinguish between the two speech files.
Hence, at a certain position, the two speech signals were emitted by a single loudspeaker.
When the measurement vectors y i and the dictionary parameters μ i ∗ are derived, the two speech parts can be recovered using OMP algorithm [22].
Due to the independency of the two speech parts, their corresponding measurements y i =Φ i D i T x i, i=1, 2 are also incoherent.
A neural network model is used to capture the speaker-dependent functional relationship between the feature vectors (cepstral coefficients) of the two speech signals.
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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