Context Prosodic features carry a substantial part of the language identity that may be sufficient for humans to perceptually identify some languages. Among these supra-segmental features, intonation is very promising both for linguistic and automatic processing purposes. However, intonation modelling is difficult, both in terms of theoretical definition and automatic processing. We propose here some prosodic modelling approaches that bring
Context The objective of the feature extraction step is to capture the most relevant and discriminate characteristics of the signal to recognize. Although characters in the same class have some variances due to different spoken styles for different users, there must exist some consistencies. That is why feature extraction is needed and those features extracted are put into a classifier.
Context In modling theory, classes share the same representation space (parameterization) and the same kind of modeling. But they can be differentiated behind separate representation spaces and distinct statistical models. For example, note that the differences in production between Word and Music are found naturally in the signal nature themselves: the speech presents a formant structure, while the music shows