Sentence examples for speech recognition accuracy from inspiring English sources

How does deep learning improve speech recognition accuracy?

In the field of speech recognition, two applications of MLPs have significantly improved large-vocabulary speech recognition accuracy.

The experimental results indicate that the proposed system can effectively increase the average speech recognition accuracy from 62% to 85%.

But there is plenty of reason to think we'll never get flawless voice recognition - for one thing, progress in speech recognition accuracy flatlined years ago.

Other recent research on MLPs for speech recognition has concentrated either on implementation, i.e., how to actually improve speech recognition accuracy, or on theoretical asymptotic results.

The research in the exploratory study will discover the basic mechanisms that the MLP-based features use to substantially improve HMM-based speech recognition accuracy.

Cadillac, meanwhile, has made a point to emphasize the speech-recognition accuracy of its Cue telematics system, which is expected to have its debut on the XTS sedan.

However, speech-recognition accuracy in adverse environments with reverberation and background noise, which are commonly observed in home and public space, is still at low levels.

Davenport notes that this use of AI is the hardest to manage, as it relies on speech recognition, the accuracy of which is improving but does not yet match human capability.

Also, in this proposed method adaptive wavelet thresholding and modified thresholding functions are introduced to improve the speech enhancement performance as well as the automatic speech recognition (ASR) accuracy.

The key technology in these services is of course speech recognition, whose accuracy and adaptability has been gradually increasing.