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Proceedings Paper

Blind speech separation system for humanoid robot with FastICA for audio filtering and separation
Author(s): Widodo Budiharto; Alexander Agung Santoso Gunawan
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Paper 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.

Paper Details

Date Published: 11 July 2016
PDF: 4 pages
Proc. SPIE 10011, First International Workshop on Pattern Recognition, 1001113 (11 July 2016); doi: 10.1117/12.2243128
Show Author Affiliations
Widodo Budiharto, Bina Nusantara Univ. (Indonesia)
Alexander Agung Santoso Gunawan, Bina Nusantara Univ. (Indonesia)


Published in SPIE Proceedings Vol. 10011:
First International Workshop on Pattern Recognition
Xudong Jiang; Guojian Chen; Genci Capi; Chiharu Ishll, Editor(s)

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