Abstract:This work describes a framework that encompasses multi-layered linguistic information, focusing on prosodic features (pitch, energy, and tempo patterns), uses such features to distinguish between sentence-form types and disfluency/fluency repairs, and contributes to the characterization of intonational patterns of spontaneous and prepared speech in European Portuguese. Different machine learning methods have been applied for discriminating between structural metadata events, both in university lectures and in … Show more
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