Abstract
•Acoustic signal: Segmentation into speech and speech pauses • The ESMERALDA speech recognizer is used to detect voice activity more robustly than an approach that is solely based on signal energy. •Visual signal: Segmentation into motion peaks •A peak ranges between two local minima in the amount of changed pixels in the visual signal. • The amount of changed pixels is calculated by summing up a motion history image at each time step. • Temporal association: Overlapping speech and visual segments are associated to one acoustic package.
Highlights
Acoustic packaging makes use of the synchrony between the visual and audio modality in order to detect temporal structure in actions that are demonstrated to children and robots [1]
The ESMERALDA speech recognizer is used to detect voice activity more robustly than an approach that is solely based on signal energy
The amount of changed pixels is calculated by summing up a motion history image at each time step
Summary
Lars Schillingmann1 – Petra Wagner2 – Christian Munier Britta Wrede4 – Katharina Rohlfing. Figure: A test subject showing how to stack cups to an infant
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