Third-Order Moments of Filtered Speech Signals for Robust Speech Recognition

Novel speech features calculated from third-order statistics of subband-filtered speech signals are introduced and studied for robust speech recognition. These features have the potential to capture nonlinear information not represented by cepstral coefficients. Also, because the features presented...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Indrebo, Kevin M., Povinelli, Richard J., Johnson, Michael T.
Format:	Buchkapitel
Sprache:	eng
Schlagworte:	Clean Speech Speech Recognition Speech Recognition System Speech Signal Word Error Rate
Online-Zugang:	Volltext
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