Abstract
We study about the speech visualization system "KanNon" which supports deaf people's life. To realize speech visualization, the real-time phoneme and syllable level speech recognition system is needed. So we developed the speech recognition systems for speech/silence, voiced/unvoiced and Japanese 5 vowels recognition using neural networks. Finally we show experimental results of our proposed system.