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A fundamental task for a robotic audition system is sound source localization. This paper addresses the localization problem in a robotic humanoid context, providing a novel learning algorithm that uses binaural cues to determine the sound source's position. Sound signals are extracted from a humanoid robot's ears. Binaural cues are then computed to provide inputs for a neural network. The neural...
This paper deals with sound source localization in a humanoid robotics context. Classical binaural localization algorithms often rely on the following process: first, binaural cues are extracted from the left and right microphone/ear signals; next, a model is exploited to infer the possible localization of the sound source. Such a method thus requires an accurate modeling of the head acoustic shadowing,...
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