Abstract
A sound source direction can be estimated by humans using a time difference between both ears and how a sound is heard, when the sound is generated. However, it is very difficult to create an estimation system by using a computer and two microphones. In this study, we propose a novel sound source direction estimation method, in which the feature difference of observation signals obtained from the two microphones is used. The feature is learned based on the algorithm of the SOM (Self Organizing Maps) and the map of 3-D sound source direction is made. Furthermore, the five kinds of objects sound from each direction are used to conforming experiment and the correct answer rate 98.7% is obtained.
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