Sentence examples for estimated recognition from inspiring English sources
This is because the number of recognized words is a real value, while average recognition success rate represents a program-wise estimated recognition success rate.
Also, the programmable estimated recognition liability is lower, because of ambient noise detected by the microphone - the microphone is not able to catch the entire command.
The goal of the distribution matching (DM) method [18] is to recover the clean speech spectra x from the observed reverberant speech spectra y when the clean speech prior distribution p(x) is assumed to be known and the distribution of the observed reverberant speech p y) can be estimated during recognition.
In order to choose a suitable feature subset size k, namely, a criterion function typically estimates the recognition rate of the classifier [28].
Noticeably, the results found here are in line with findings reported in the literature for other speech-in-noise tests (sentence, word, or nonsense syllable tests) that are typically used for hearing assessment in the clinic [ 50, 56– 59], overall confirming that the SUN test can estimate speech recognition performance reliably and quickly in adults and older adults.
The terms should be ranked according to an estimated confidence of recognition.
As is mentioned above, some parameters of MIMO radar signal can be estimated simultaneously by the recognition method.
The two models are estimated simultaneously, allowing for recognition of the unobservable nature of the latent factor.
The change point detection between speech and non-speech is estimated by the phoneme recognition using the trained HMM/GMM model.
In Figure 12, transformation a is estimated using AR marker recognition, b is measured using a scale, c is calculated as external parameters from camera calibration result, and d is estimated using LINE-MOD.
1 The robust features which are mentioned above are extracted for representing each frame. 2 The change point detection between speech and non-speech is estimated by the phoneme recognition using the trained HMM/GMM model.
