Speech Emotion Analysis of Different Age Groups Using Clustering Techniques

The shape, length, and size of the vocal tract and vocal folds vary with the age of the human being. The variation may be of different age or sickness or some other conditions. Arguably, the features extracted from the utterances for the recognition task may differ for different age group. It compli...

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Veröffentlicht in:	International journal of information retrieval research 2018-01, Vol.8 (1), p.69-85
Hauptverfasser:	Mohanty, Mihir Narayan, Palo, Hemanta Kumar, Chandra, Mahesh
Format:	Artikel
Sprache:	eng
Schlagworte:	Age Age groups Algorithms Analysis Boredom Clustering Emotions Feature extraction Laws, regulations and rules Methods Speech
Online-Zugang:	Volltext
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