Sentence examples for systems trained using from inspiring English sources

The first result shows the SER when clean speech is recognized using systems trained using clean database.

Systems trained using localized hospital data often fare better, but rarely produce c-statistic scores greater than 0.7 [6].

The results obtained with the GMM-HMM systems trained using the clean data and the multi-condition data (GMM-HMM (cln) and GMM-HMM (mc)) are shown in row 1 and 2 of Table 1, respectively.

However, the annotated information in ShARe/CLEF corpus is much broader in subject scope than PhenoCHF, whose annotations (and hence, systems trained using the corpus) are restricted to information concerned with heart disease.

Recall is even worse using exact matching, mainly because, unlike systems trained using PhenoCHF, MetaMap was not designed to recognise phenotypic information expressed as multi-word expressions with modifiers, e.g., moderate to mild cough.

Finally, machine learning-based systems trained using the i2b2 corpus made partial predictions that mostly overlapped between 60 and 70%, while for the 10-fold cross-validation experiment the predominant category was 20-30% for HIDE and 50-60% for MIST.

System trained using set of statistical features extracted from normalized gray scale images report character recognition rate of 96.4% for the clean text part of the UPTI dataset.

A system trained using only 9×9 amateur game data performs surprisingly well on a test set derived from 19×19 professional game data.

The WER for the evaluation data set obtained with the DNN-HMM system trained using multi-condition data ("DNN-HMM mc)") are shown in the row 8 of Table 1.

The AUC of the system trained using 36 articles appeared to be an anomaly from this general trend.

The lower performance of the automated system trained using 36 articles could constitute an example of such problem.