Sentence examples for speech recognition error from inspiring English sources

These findings have significant implications for speech recognition error detection research and the design of error detection support solutions.

Such a system has to deal with speakers that have a very low proficiency of the foreign language, thus speech recognition error rates are very high.

Voice source parameters like jitter and shimmer change with age, but they are shown to have just a minor influence on speech recognition error rates.

First, we demonstrate that speech recognition error rates for interactive read aloud can be reduced by more than 50% through a combination of advances in both statistical language and acoustic modeling.

On the other hand, the impact of speech recognition errors on the topic segmentation and indexation modules is almost negligible.

Although speech recognition has improved significantly in recent years, its adoption continues to be limited, in part, by the effort and frustration associated with correcting speech recognition errors.

Our dialogue system, based on empirical data gathered from real call-center conversations, features data-driven techniques that allow for spoken language understanding despite speech recognition errors, as well as mixed system/customer initiative and spontaneous conversation.

In this section, we observed the recognition performance in terms of speech recognition word error rate (WER).

"We have attacked these hard problems like translation and speech recognition, getting the error rate down from 25%to8%8%.

The 2000 NIST evaluation of Switchboard corpus automatic speech recognition systems [33] reports error rates of 39%55%% for phoneme recognition in speech, while the lowest error rate (100-accuracy) in Table 7 is approximately 65%.

Despite such promises, speech recognition systems exhibit higher error rates for children due to variabilities in vocal tract length, formant frequency, pronunciation, and grammar.