Neural networks for neutrality classification of Filipino call center agents' English pronunciation
This study explored methods of designing and training neural networks to automatically classify the neutrality of Filipino call center agents English pronunciation based on their employers standards on speaking proficiency. Using Mel Frequency Cepstral Coefficients (MFCCs) as features for semi-super...
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| Format: | text |
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Archīum Ateneo
2018
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| Online Access: | https://archium.ateneo.edu/theses-dissertations/107 http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1742870300&currentIndex=0&view=fullDetailsDetailsTab |
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| Institution: | Ateneo De Manila University |