Sentence examples for example in speeches from inspiring English sources

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"There is nothing backing these up on the Department for Work and Pensions' ad hoc statistics page — where non-regular analysis is placed when it is used in public, for example in speeches or the press," wrote Phoebe Arnold, a researcher at Full Fact.

Fox held up New Mexico's example in speeches in Arizona and Texas this week, hoping to persuade those states and others to follow suit.

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Most ML researchers concentrate on automatic machine learning (aML), where great advances have been made, for example, in speech recognition, recommender systems, or autonomous vehicles.

For example, in speech signal processing, a periodic impulse-train is often used as an excitation of the vocal tract system [1, 11, 13].

For example, in speech enhancement, we use log-magnitude spectrum as the speech representation; it has a dimension of 257 when using a frame-length of 25 ms and a FFT length of 512.

It is easy to see why this works for related domains; for example, in speech recognition you can take a CNN trained on one language (say English) and only re-train the top layers on another language (say German) and it will work well on that new language.

For example, in speech coding [20] (and especially for low bit rate) a highly redundant dictionary (L ≫ N) is used and coupled with high sparsity (K very small).b In music signals coding, it is common to consider much larger dictionaries and to select a much larger number of dictionary elements (or atoms).

For example, in speech sounds, the spectral modulations that constitute the formants in vowels (timbre) separate from those that constitute the pitch of the voice.

Mr. Romney has been vocal in his support of for-profit colleges, often using Full Sail University as an example in his speeches, and opposes the gainful employment rules.

Another thing that we are hearing is frustration, for example, in the speeches in Parliament, at not having achieved the Millennium Development Goals.

For example, in pathological speech recognition, while the nature of both normal and pathological signals is speech, only few high-frequency contents or transient components cause the discrimination between the two classes.

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