Sentence examples for end of the utterance from inspiring English sources

Specifically, we focus on two recurrent syntactic formats, namely the 'predicate-only' and the 'predicate-initial' constructions, where the predicate is produced first and other arguments are respectively either unexpressed or placed at the end of the utterance.

As in a typical German declarative sentence, all pseudowords in the utterance were stressed on the first syllable, and pitch fell from the beginning to the end of the utterance.

In surprise/unexpectedness, three types of speaking styles were predominant: br/wh voice along the whole word/phrase (40% of the tokens), aspiration at the end of the utterance (26% of the tokens), and a harsh voice quality (due to irregularity in the vocal fold vibrations) along with breathiness (20% of the tokens).

To maintain the natural coarticulation between digit utterances, the digits were segmented preserving silence frames at the beginning and at the end of the utterances.

Short silences between words or some of the silences at the beginning or end of the utterances were sometimes appended to the phonemes during automatic alignment.

For instance, Singaporean speakers tend not to deaccent information which is repeated at the end of the utterances as reported by Low (1994).

The reference labels are computed using the start and end times of the utterance obtained from the TIMIT transcription (.phn files).

Sudden pitch rise that is expected at the end of the question utterance is better modelled with the SSTC-based hybrid system.

In 55% of the tokens whispering occurred over the whole utterance, while in 25% of the tokens, it occurred at the end portions of the utterances.

Expressions of embarrassment and talking/asking to oneself include "naniyattakkena", "nantsuttakke", " wakannai", "dooshiyoo ", which mean "I cannot remember ", "I'm not sure ", "what should we do?" In utterances annotated as "diffidence", whispering often occurred at the end portion of the utterances (85% of the "diffidence" tokens).

It specifies the beginning and the end of utterance and reduces the processing cost of feature extraction and decoding blocks.