Robot arm controller using fuzzy speech recognition

In this paper, the fuzzy set theory techniques are employed to develop a speech recognition system. The idea is to generate a control signal for driving robot arm system using fuzzy speech recognition. First, we design an independent microprocessor system combined with the control circuit of robot arm. Then, the speech signal is analyzed in accordance with fuzzy set logic. The speech signal is divided into several units which produces the feature parameters in accordance with the locations of frequency spectrum peak. Byway of training, it will generate the speech reference pattern and can be transformed into membership function. After the calculation of pattern similarity, the recognition results and the output control signal are produced.