Sentence examples for recognized speech from inspiring English sources

The speech reception performance was characterized by using both the number of words correctly recognized (speech intelligibility, IS) and two estimates of listening effort: the behavioral measure of response time (RT) and a subjective judgement on a rating scale (LE).

Besides additive noise, the MDT recognizer also handles convolutional noise by the channel compensation technique described in [23], which maximizes the likelihood of the recognized speech on the backend model.

Experimental results on a dataset of 10 full-body actions show that our system achieves state-of-the-art classification performance without requiring the manual segmentation of training samples, and that congruent visual representations can be retrieved from recognized speech in the absence of visual stimuli.

These two components allow us to experiment with recording at least one side of a conversation, finding clinically significant terms in the recognized speech, and summarizing them in a draft of the encounter note.

6,839,669 B1, titled "Performing Actions Identified in Recognized Speech;" U.S. patent number No. 7,058,573 B1, titled "Speech Recognition System to Selectively Utilize Different Speech Recognition Techniques Over Multiple Speech Recognition Passes;" and U.S. patent no.

He built some of the first practical systems for recognizing speech and scanning text.

This could be anything from recognizing speech, to visual perception, making decisions and translating languages.

They argued that humans were the best at recognizing speech and that computers should do it as humans do.

They argued that humans were best at recognizing speech and that therefore computer models should be based mainly on human language concepts — rules about syntax, grammar and meaning.

The app does a good a job of recognizing speech, and I really wanted to love it, but it's tricky to use.

But that will be a complex job, said Mari Ostendorf, a professor of electrical engineering at the University of Washington who develops algorithms both for recognizing speech and for synthesizing it.