Sentence examples for utterances used from inspiring English sources

Figure 9 Preference scores as a function of the number of utterances used for training.

Note that the utterances in the testing dataset contained different contents (sentences) from the utterances used to train the GMMs.

The text prompts of the utterances used in RealData and in part of SimData are the same.

Thus, the utterances used to train the American English models include some Mandarin-language pronunciations of English words.

Number of audio utterances used in training and test for the relevant emotional category are listed in Tables 1 and 2 for EMO-DB and VAM, respectively.

Each of the 11 digits constituting the training and test set utterances used in this work comprises of only 1 syllable except for the digits "zero" and "seven" which contain 2 syllables.

We also considered the same models trained on complete utterances, using embedded training after initialisation on the segmented data.

For we can apparently employ disquotational reports of the above sort to report utterances using quantifiers, gradable adjectives, modals, 'knows,' etc.

The resynthesized utterances use new basic units, a new concatenating algorithm, and a grafting technique to correct the poorly pronounced phonemes.

They are then merged into a single metric which is minimized over the set of 20 test utterances using a nonlinear optimization technique.

Although they were recorded from the distance of 25 cm, we regarded the close-talking utterances as our clean speech signals and tried to map the distant-talking utterances to close-talking utterances using NNs.