Abstract
Sound Localization is the process of identifying direction (with distance) and location of the source from which the sound is detected. It is one of the important functions of human brain. In brain sound localization is done through the neurons present in it. The sound signals from the outside world are come inside the brain through the ear. In this paper, the process of Sound Localization activity performed by human brain that incorporates realistic neuron models is discussed and the accurate position of the sound sources by using the Kalman filter and neural network is examined. The results demonstrate that finding position in 3D is more accurate as compared in 2D as its average error gets reduced. This work can be used to detect the location of the sound sources in three dimensions and can be also implemented in robots and cochlear implants for treating hearing loss.
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Tyagi, A., Kumar, S., Trivedi, M. (2018). Sound Localization in 3-D Space Using Kalman Filter and Neural Network for Human like Robotics. In: Perez, G., Mishra, K., Tiwari, S., Trivedi, M. (eds) Networking Communication and Data Knowledge Engineering. Lecture Notes on Data Engineering and Communications Technologies, vol 3. Springer, Singapore. https://doi.org/10.1007/978-981-10-4585-1_19
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DOI: https://doi.org/10.1007/978-981-10-4585-1_19
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