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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Bibliographic Details
Main Author: BAQUIRIN, REY BENJAMIN
Format: text
Published: 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