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Several experiments have been performed using the IFN/ENIT benchmark database and the best recognition performances achieved by our system outperform those reported recently on the same database.
By the statistical experiments, we compare the recognition performances in different numbers of dimension.
For two features, different feature orders in fusion will result in different recognition performances.
It is observed that the recognition performances of the other personality traits are lower.
Then, we compare the recognition performances with different feature reduction techniques and different classification techniques, respectively.
Table 2 shows the speech recognition performances of the batch mode voice-to-phoneme conversion.
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Table 4 demonstrates the recognition performance.
All of these factors impair recognition performance.
The SVM classifier offers excellent recognition performance.
Figure 2 Average recognition performance versus threshold.
The degradation can lower the recognition performance.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com