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This paper issues in the design of a vocal interface for a robot that can learn to understand spoken utterances through demonstration. Weakly supervised non-negative matrix factorization (NMF) is used as a machine learning algorithm where acoustic data are augmented with semantic labels representing the meaning of the command. Many parameters that the robot needs in order to execute the commands have...
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