Examples of using Human speech in English and their translations into Hebrew
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Colloquial
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Ecclesiastic
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Computer
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Programming
capable of imitating human speech, in addition to many other sounds.
However, my PhD thesis concerned an auditory model for human speech processing, and thus required extensive reading on neural mechanisms in the brain.
For example, primates- our closest evolutionary relatives- are largely incapable of mimicking human speech or other novel sounds in their environment.
A voice recognition system is a computerized system which can read and decipher human speech as well as comprehend and execute spoken instructions.
For example, the dead still have an echo of human speech, even of the particular language that they spoke most of the time while on earth.
Previous studies have found that 30 to 40 per cent of human speech is used to relay information about private experiences or personal relationships.
There are certainly anatomical and neurological bases for how human speech evolved to be more efficient at conveying information than, say, gesture.
That's because your brain has to actually re-learn how to hear sounds- especially the complex range of frequencies in human speech.
particularly the complex range of frequencies in human speech.
to hear these sounds, particularly the complex range of frequencies in human speech.
That's because your brain actually has to relearn how to hear sounds- especially the complex range of frequencies in human speech.
especially the complex spectrum of human speech.
Too long hath his vile breath bemingled human voice and human speech.
This process, which alone presents a complete picture of what lives and weaves in human speech was taken as the starting-point for the pupil of Ephesus.
to hear these sounds, particularly the complex range of frequencies in human speech.
because it was the first time we recovered intelligible human speech from silent video of an object.
to be noise or has characteristics consistent with human speech.
to deciphering speech content, Saunders and his colleagues hope they can be harnessed to detect the tiny errors that AI makes when trying to emulate human speech.
And then from human speech, from the human image,
not out loud in human speech, even in this room screened to the limit that Professor Quirrell had secured with further Charms.