11 July 2016 Blind speech separation system for humanoid robot with FastICA for audio filtering and separation
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 1001113 (2016) https://doi.org/10.1117/12.2243128
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
Abstract
Nowadays, there are many developments in building intelligent humanoid robot, mainly in order to handle voice and image. In this research, we propose blind speech separation system using FastICA for audio filtering and separation that can be used in education or entertainment. Our main problem is to separate the multi speech sources and also to filter irrelevant noises. After speech separation step, the results will be integrated with our previous speech and face recognition system which is based on Bioloid GP robot and Raspberry Pi 2 as controller. The experimental results show the accuracy of our blind speech separation system is about 88% in command and query recognition cases.
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Widodo Budiharto, Widodo Budiharto, Alexander Agung Santoso Gunawan, Alexander Agung Santoso Gunawan, } "Blind speech separation system for humanoid robot with FastICA for audio filtering and separation", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 1001113 (11 July 2016); doi: 10.1117/12.2243128; https://doi.org/10.1117/12.2243128
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