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Real-Time Robot Audition System That Recognizes Simultaneous Speech in The Real World
2006
2006 IEEE/RSJ International Conference on Intelligent Robots and Systems
This paper presents a robot audition system that recognizes simultaneous speech in the real world by using robotembedded microphones. We have previously reported Missing Feature Theory (MFT) based integration of Sound Source Separation (SSS) and Automatic Speech Recognition (ASR) for building robust robot audition. We demonstrated that a MFTbased prototype system drastically improved the performance of speech recognition even when three speakers talked to a robot simultaneously. However, the
doi:10.1109/iros.2006.282037
dblp:conf/iros/YamamotoNNTVKOO06
fatcat:imh6cuppvzh35eggpzp3lenexi