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Creating Spoken Dialog Systems in Ultra-Low Resourced Settings
We build on existing light models for intent classification in Flemish, and our main contribution is applying different augmentation techniques on two levels -- the voice level, and the phonetic transcripts level -- to the existing models to counter the problem of scarce labeled data in low-resource languages.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Modeling, Visualization, and Analysis of African Innovation Performance
In this paper we discuss the concepts and emergence of Innovation Performance, and how to quantify it, primarily working with data from the Global Innovation Index, with emphasis on the African Innovation Performance.
