Hitoshi Nishimura
Mikio Nakano
ABSTRACT
In this paper, we propose a method that a robot can select an object specified by human speech among several objects based on generic object recognition. Although object selection methods have been proposed based on specific object recognition, generic object recognition is more useful for the selection in a real environment. In the proposed method, an object is selected by integrating speech recognition results and generic object recognition results. We investigated the relation between the method of narrowing down candidates based on speech and image recognition results and the object selection accuracy.
- Nishimura et al.. Selection of unknown objects specified by speech using models constructed from web images. In Proc ICPR, pages 477--482, 2014.Google Scholar
Digital Library
- Ozasa et al.. Disambiguation in unknown object detection by integrating image and speech recognition confidences. In Proc ACCV, pages 85--96. 2013. Google ScholarDigital Library
- Sermanet et al.. Overfeat: Integrated recognition, localization and detection using convolutional networks. arXiv preprint arXiv:1312.6229, 2013.Google Scholar
- Julius. Open source large vocabulary csr engine Julius. http://julius.sourceforge.jp/.Google Scholar
Index Terms
- Selection of an Object Requested by Speech Based on Generic Object Recognition
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