Sentence examples for sounds probability from inspiring English sources

Exact(1)

Each control sequence included 400 repetitions of one of the sounds (probability = 1.0) that were used as infrequent sounds in the oddball sequence.

Similar(59)

In the stimulus sequence, every other stimulus was a standard (probability 50%%) and every other was one of the deviants (probability 8.3%% for each) or a novel sound (probability 8.3%%).

As the relative level of the high frequency sound increased, the probability of the owl orientating toward the high frequency sound increased.

For many years Iannis Xenakis, from Greece, created his sound "sculptures" using probability theory.Other composers, such as Jonathan Harvey from Britain or Kaija Saariaho from Finland, have used the computer as a microscope to look inside sound and to use the seething activity hidden from normal hearing.

Each sound was presented at each relative location with equal probability, and sound levels roved randomly from 10 60 dB above behavioral threshold.

We use the direct classification approach to rank sounds according to their probability to belong to one of the classes.

Nelson broke into the big leagues with Seattle and owns a house in that area, and yesterday he sounded resigned to the probability that his days with the Yankees were finished.

They also need to start normalizing interest rates carefully, while developing intelligent policies to deal with the possible resultant decline in many asset prices (possibly balanced by optimism in the increased probability of sound money policies in the future).

Currently, Woodland explains, machines – which work by breaking down speech into sounds and calculating the probabilities of likely words and sentences - have required significant amounts of data from individual speakers in order to learn sufficiently to recognise their speech, entailing a long process of "training".

2. The scheme is said to be sound, up to a probability 1 - ϵ2 if Pr m ′ ∃ i, d ( m ′, m i ) > λ m a x & φ ( m i ) ∈ Φ ( m ′ )  .

(We consider as an error the case of a sound for which the probability of belonging to its supposed category is smaller than one of the two other probabilities. This means that if the model has to choose the category to which the sound belongs, it will choose a wrong one).  .

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