Sentence examples for size of speech from inspiring English sources

Exact(1)

Efficiency and scalability issues are generally considered as critical in detection tasks, due to the size of speech databases or, in the spotting case, due to the need of as soon as possible (ASAP) detection.

Similar(59)

Importantly, the impact of phonological neighborhood size on speech perception has also been attested in listeners with a hearing impairment [ 29].

Moreover, the children's gestural vocabularies, on average, were twice the size of their speech vocabularies".

For the DNNs, the input layer size is extended to 702 nodes due to the doubled size of the speech feature frames and the nine-frame temporal context used.

Since there are almost as many voiced and unvoiced sections, the average number of voiced or unvoiced sections per second is about 2.5. Figure 2 Histograms of the size of the speech sections of the training (black) and test (white) corpus, for the voiced (a) and unvoiced (b) sections.

Whenever the size of the host speech signal and the number of frames for embedding are increased, the capacity is increased as a consequence.

"The government of Canada is unalterably committed to fiscal prudence, as evidenced by annual balanced budgets and steady reduction in the debt relative to the size of the economy," the speech said.

Mr Salmon adds sage comments on default contagion.Christina Romer gives a detailed explanation of her views on fiscal stimulus and the size of multipliers in a speech at the University of Chicago.

A thin, friendly engineer with a wild mane of gray hair, Dr. Conkie advocated slicing the sounds into pieces that were half the size of phonemes, which are families of speech sounds that make up language.

The number of states is chosen as a trade-off between dynamic fidelity (i.e., a higher number of states gives a more accurate representation of speech movements), database size (i.e., the number of states must be much less than the number of samples in the dataset), and processing time (i.e., more states take longer to produce a global alignment).

Nevertheless, parameters such as RAM size, context window, and probability bit mapping, make the multilingual part-of-speech tagging task hard.

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