智能语音代理的图书馆多媒体阅读应用探析

Research on Visual Behavior Extraction of Outdoor Marker System Based on Eye Tracker

为了将智能语音更好地应用到图书馆多媒体阅读中,提出一种服务机器人语音识别方法。首先采用隐马尔科夫HMM模型进行语音识别,为了更好地应用于实际,采用不同的算法来解决模型中存在的问题;其次设计服务机器人语音控制系统,采用手动控制和语音控制方式来实现对服务机器人动作的控制;最后对系统进行测试,并对语音信号进行预处理和降维处理,从而更好地体现系统具有较好的性能。

To better apply intelligent speech to library multimedia reading,this paper proposes a speech recognition method is proposed for a service robot.First,the hidden Markov HMM model is used for speech recognition,different algorithms to solve the model,then design the service robot voice control system with manual control and voice control,finally test the system and reduce the voice signal to better reflect the system with better performance.