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 showthe accuracy of our blind speech separation system is about 88% in command and query recognition cases..
Budiharto D. W and Gunawan D. A. A. S. (2016). Blind Speech Separation System for Humanoid Robot with FastICA for Audio Filtering and Separation (SCOPUS). SPIE - The International Society for Optical Engineering/International Conference on Robotics and Vision (ICRV 2016), 1-4. Tokyo, Japan: SPIE
humanoid robot, blind speech separation, speech recognition, face recognition, fastICA