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2. 发明申请

US20060136218A1 Method for optimizing loads of speech/user recognition system 审中-公开
标题翻译：优化语音/用户识别系统负载的方法
公开(公告)号：US20060136218A1
公开(公告)日：2006-06-22
申请号：US11300048
申请日：2005-12-14
申请人： Yun-wen Lee
发明人： Yun-wen Lee
IPC分类号： G10L11/00
CPC分类号： G10L15/285
摘要： A method for optimizing a load of a speech/user recognition system is provided. The speech/user recognition system comprises a server end, a client end and a network, and the method is achieved by performing N stages of computations for speech features of a speech, where N is a positive integer, and an i is selected from 1 to N for representing the ith stage speech features, comprising steps of: (a) providing a real time factor Ta(i) for computing a respective stage i of the speech features at the client end, where Ta(i) is an average computation time of computing the ith stage speech features at the client end with respect to one second input speech; (b) providing a real time factor Tb(i) for computing a respective stage i of the speech features at the server end, where Tb(i) is an average computation time of computing the ith stage speech features at the server end with respect to one second input speech; (c) providing a load c of the server end and a load d of the network; (d) deciding an n in the range from 1 to N for minimizing a recognition time Toutput of the speech; (e) inputting the speech with time Tinput for being recognized; (f) performing an computation from the first stage speech features to the nth stage speech features of the speech at the client end, while performing an computation from the (n+1)th stage speech features to the Nth stage speech features of the speech at the server end; and (g) repeating steps (e) to (f).
摘要翻译：提供了一种用于优化语音/用户识别系统的负载的方法。语音/用户识别系统包括服务器端，客户端和网络，并且该方法通过对语音的语音特征执行N个级别的计算来实现，其中N是正整数，并且i从1 到N表示第i阶段语音特征，包括以下步骤：（a）提供用于计算客户端处的语音特征的相应阶段i的实时因子Ta（i），其中 Ta（i）是相对于一个第二输入语音在客户端计算第i阶段语音特征的平均计算时间; （b）提供用于计算服务器端的语音特征的各个阶段i的实时因子Tb（i），其中Tb（i）是计算第i个阶段的平均计算时间服务器端的语音特征相对于一个第二输入语音; （c）提供服务器端的负载c和网络的负载d; （d）决定在1到N范围内的n以最小化语音的识别时间T OUT输出; （e）输入具有时间T _{输入的语音以便被识别; （f）在客户端处执行从第一阶段语音特征到语音的第n阶段语音特征的计算，同时从第（n + 1）个＆lt; / SUP>舞台语音特征到服务器端的语音的第N阶段语音特征; 和（g）重复步骤（e）至（f）。}

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