An Implementation of Speech Recognition Engine on Windows CE.NET based on a Fixed-Point Processor

• Main Authors: Chao-Jen Huang, 黃昭仁
• Other Authors: Ren-Yuan Lyu
• Format: Others
• Language: zh-TW
• Published: 2007
• Online Access: http://ndltd.ncl.edu.tw/handle/38529175355194711891

碩士 === 長庚大學 === 資訊工程研究所 === 95 === This thesis describes an implementation of speech recognition engine on Windows CE .NET based on a Fixed-Point Processor. Because the speech recognition needs a lot of Float-Point computation, the performance of Windows CE .NET or other embedded systems is weaker than Personal Computer. Moreover, some embedded systems did not even have the Float Processing Unit (FPU). Therefore, we proposed an approach with Fixed-Point computation for speech recognition instead of Float-Point computation. In addition, we also use some workable pruning strategies to reduce a lot of computation time of speech recognition. Finally, we developed a ForSR-E SDK with software engineering, and use the components of SDK to build a speech recognition system. The main contribution of this thesis is to develop speech recognition engine based on Windows CE .NET, and use some adjustable pruning strategies to reduce the computation time during recognition procedure.