Sentence examples for classification voice from inspiring English sources

Table 8 comprises the numbers of patients in a two-way classification according to AVPU classification (voice and pain responsive categories combined) and subsequent survival or death of 1306 patients attending an accident and emergency unit.

The classification of voice diseases has many applications in health, in diseases treatment, and in the design of new medical equipment for helping doctors in diagnosing pathologies related to the voice.

The proposed two-stage classifier is more accurate than the MFCC-based GMM and HOS methods alone and shows potential for the classification of voices in the clinic.

That shows the potential computational difficulty in classification between voices of different emotions.

Voice classification method trains and tests voice data into classes of known labels.

Besides, residual and volatility are introduced and embedded into voice classification to produce superior classification result.

The justification is that we try to test the generality of our voice classification model without being attached to any specific classification algorithm.

For the classification of music, voice, and environmental sounds, we downloaded large databases of voice and music recordings, and used our sound events database (described below) as the ground truth for environmental sounds.

Pathological voice classification, T-wave alternans (TWA) evaluation from the surface electrocardiogram (ECG), environmental audio classification, telemonitoring of PD are selected as the applications of the developed discriminant cluster selection method.

Therefore, a system designer can choose the best performing algorithms in terms of accuracy and other performance quality indicators if the voice classification application is not prone to frequent update of training dataset (that means no need to build the classification model over again), and of course vice versa this implies.

The results revealed a clear covariation between predicted vocal fold length and voice classification.