An Effective Speech Understanding Method with a Multiple Speech Recognizer based on Output Selection using Edit Distance
Kazutaka Shimada, Satomi Horiguchi, Tsutomu Endo · Institutional Repositories DataBase (IRDB) · 2008
Abstract. In this paper, we propose a simple and effective method for speech understanding. The method incorporates some speech recognizers. We use two recognizers, a large vocabulary continuous speech recognizer and a domain-specific speech recognizer. The integrated recognizer is a robust and flexible method for speech understanding. For the integration process, we use a simple edit distance measure of each output sentence from each recognizer. Our method has high scalability and accuracy. The experimental results show the effectiveness of the proposed method.