Abstract
The authors present a method for isolated word speech recognition combining hidden Markov models (HMM) and multisection vector quantization (MSVQ) code books techniques. The use of these two techniques together enables the system to correct half of the wrong decisions made when only one technique is used. This system was implemented on a digital signal microprocessor (DSP), and is operating in real time. This system will be used in a virtual reality environment. >
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