This is shown by the difficulty that computer speech recognition systems have with recognizing human speech.

These programs can do well at recognizing speech when they have been trained on a specific speaker's voice, and under quiet conditions.

A separate speech recognition computer provided the additional power needed to recognize human speech.

It is used by a speech recognition engine to recognize speech.

Psycholinguistic models also concentrated on how good people were at recognising speech.

Currently, the best systems can recognize continuous, natural speech, up to 160 words per minute, with an accuracy of 95%.

Eventually, the machine might be able to recognize speech as well.

The ancient authors themselves first defined style by recognizing different kinds of sermo, or "speech."

Computers are being "trained" to recognize human speech, handwriting, eye movement and even gestures.

Teaching a computer to recognize speech is tricky.