Digits Speech Recognition Based on Geometrical Learning

We investigate the use of independent component analysis (ICA) for speech feature extraction in digits speech recognition systems.We observe that this may be true for a recognition tasks based on geometrical learning with little training data. In contrast to image processing, phase information is no...

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Bibliographische Detailangaben

Hauptverfasser:	Cao, Wenming, Pan, Xiaoxia, Wang, Shoujue, Hu, Jing
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Continuous Speech Independent Component Analysis Informatique automatique theorique systemes Logiciel Organisation des mémoires. Traitement des données Recognition Rate Sciences appliquees Sciences exactes et technologie Speech Database Traitement des données. Listes et chaînes de caractères
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