Sentence examples for current utterances from inspiring English sources

Yet, when people talk, they usually connect their current utterances with preceding expressions of themselves or others.

Number of phonemes, syllables, words, and phrases in the current utterance.

Determine the best self-normalization warp (i.e., the instantaneous warp for the current utterance ).

Thus, DA detection is based on a set of features derived from the current utterance.

In the first variant, the i-vectors were computed from only the current utterance.

➢ Sentence-level features Number of phonemes, syllables, words, and phrases in the current utterance Type of the current sentence.

The discussion commander also works for annotating agree or disagree attributes to the current utterance by pressing + or - buttons.

If we call the instantaneous warp estimated for the current utterance, then the self-normalization warp estimate for the incoming utterance can be computed as follows: (17).

In practice, the -gram histogram of a voice-tag is estimated based only on the best phonetic strings of the previous utterances and the current utterance of the voice-tag.

(iii) Determine the best self-normalization warp (i.e., the instantaneous warp for the current utterance ).   (iv) Pass through a recursive averaging block with a forgetting factor to obtain an averaged version (i.e.e ).e

Let Y=[Y S,Y D,Y A ] denote the output of the DNN which is a (mathcal {T}times 3mathcal {M}) matrix, where (mathcal {T}) is the number of frames in the current utterance and (mathcal {M}) is the dimension of the feature vectors.