Stefan Auberg

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In this paper we present an approach for efficiently computing a compact temporal/spectral feature set for representing a segment of speech, with effective resolution depending on both frequency and time position within the segment. The goal is to mimic the resolution properties of the human auditory system, but using a computationally efficient FFT-based(More)
SPEECH FEATURE COMPUTATIONS FOR VISUAL SPEECH ARTICULATION TRAINING Stefan Auberg Old Dominion University, 1996 Director: Dr. Stephen A. Zahorian A new version of the Visual Speech Articulation Training Aid was implemented which provides real-time visual feedback for speech articulation training. This version was migrated to a Windows Multimedia PC from a(More)
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