Bioinspired auditory sound localisation for improving the signal to noise ratio of socially interactive robots

Murray, John C. and Wermter, Stefan and Erwin, Harry (2006) Bioinspired auditory sound localisation for improving the signal to noise ratio of socially interactive robots. In: IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2006, October 9-15, 2006, Beijing, China.

Full content URL: http://dx.doi.org/10.1109/IROS.2006.281855

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Item Type:Conference or Workshop contribution (Paper)
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Abstract

In this paper we describe a bioinspired hybrid architecture for acoustic sound source localisation and tracking to increase the signal to noise ratio (SNR) between speaker and background sources for a socially interactive robot's speech recogniser system. The model presented incorporates the use of Interaural Time Differ- ence for azimuth estimation and Recurrent Neural Net- works for trajectory prediction. The results are then pre- sented showing the difference in the SNR of a localised and non-localised speaker source, in addition to presenting the recognition rates between a localised and non-localised speaker source. From the results presented in this paper it can be seen that by orientating towards the sound source of interest the recognition rates of that source can be in- creased.

Keywords:Sound source localisation
Subjects:H Engineering > H670 Robotics and Cybernetics
Divisions:College of Science > School of Computer Science
ID Code:13773
Deposited On:10 Apr 2014 13:11

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