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where y r =[y 0 ⊤,…,y T r)−1 ⊤]⊤ is the rth utterance's feature sequence and T r) is the total frame number of the rth utterance.
One or more concepts represented the intention of the utterance, and a sequence of attribute-value pairs contained the information about the values provided by the user.
This system is made up of a speech recognizer (for decoding the spoken utterance into a word sequence), a natural language translator (for converting a word sequence into a sequence of signs belonging to the sign language), and a 3D avatar animation module (for playing back the signs).
Each utterance thus generates a sequence of Gaussian indices.
The speech recognizer is used for decoding the spoken utterance into a word sequence.
The objective function can be obtained simply by replacing y r with the rth utterance's transformed feature sequence v r =[v 0 ⊤,…,v T r)−1 ⊤]⊤ in Eq. (14) as {mathcal F}_{b}left {textbf{M}} right) = sum_{r} log frac{p_{lambda} left textbf{v}^{r}|{mathcal H}_{s_{r}}right)^{kappa}p_{L}(s_{r})}{sum_{s} p_{lambda} left textbf{v}^{r}|{mathcal H}_{s}right)^{kappa}p_{L}(s) {mathrm{e}}^{-bA s,s_{r})}}.
where is the number of utterances of the term in the training corpus, and is the number of utterances of the phonetic sequence ph in the same corpus.
The religious, social, and economic sins of Judah roll from the prophet's utterances in staccato-like sequence: (1) "Bring no more vain offerings; incense is an abomination to me.
In this theory, discourse structure is composed of three separate but interrelated components: the structure of the sequence of utterances (called the linguistic structure), a structure of purposes (called the intentional structure), and the state of focus of attention (called the attentional state).
Each candidate in the lists was a sequence of utterances (for speech) or fingertip positions (for gestures).
Language plays are characterized by being highly structured and structurally repetitive, often featuring the same sequence of utterances over and over again with varying agents or objects.
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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