Abstract
We propose a novel speech recognition method using multiple recognizers of various recognition units. Our method can improve the word recognition accuracy and reject incorrect recognition results when the correct recognition results are obtained. We use a Support Vector Machine (SVM) to select a single recognition result or reject recognition results from multiple recognition results. Experimental results show that the proposed method achieves higher word recognition accuracy and classification accuracy in comparison with a single recognizer and ROVER.
