摘要
随着科学技术水平的不断提高，社会文明的不断进步，人类对生活质量的追求也越来越高。
智能手机的兴起，使终端应用成为高新技术的发展平台.苹果公司的Siri将语音识别技术投入到智能手机中，引发了人机交互语音识别技术的热潮。
语音是人类相互交流中最直接有效的沟通方式，与键盘，鼠标这些输入设备相比，语音是最自然的输入方式。
从上世纪五十年代开始，到现在语音识别技术有了长足的发展，移动终端设备的发展迫使人们把语音识别实验室技术引入到生活中。
本系统基于科大讯飞的MSC，采取面向对象的的方法，以统一建模语言（UML)为分析设计语言,对系统进行分析与设计。
通过设计Android语音助手，旨在帮助用户更好的与机器交互，并且通过使用“语音“这个生活中直接存在的交流沟通方式来帮助用户改善生活方式和习惯，让用户拥有一个可对话的语音助手。
本系统针对可行性研究，需求分析，概要设计，详细设计以及系统测试等情况进行了详细介绍。
通过合理的模块划分，该系统实现了语音语义识别模块，播放音乐模块，打电话、发短信模块，地图模块，查询模块，语音合成模块。
系统明确了各模块的分工，降低了各模块之间的耦合度，提高模块间的沟通效率。
关键词：语音识别、Android、人机交互、面向对象
Abstract
With the development of science and technology, the continuous progress of social civilization, people’s pursuit to life quality is higher and higher. The rise of intelligent mobile phone makes terminal applications become a platform for high-tech. For example, the Siri of Apple applies speech recognition technology to intelligent mobile phones, which has triggered the boom of human-computer interaction speech recognition technology. Compared with such input devices as keyboard and mouse, voice is the most direct and effective communication way and the most natural input way. Speech recognition technology has been developed a lot since the 50s of last century. Also, with the development of mobile terminal devices, laboratory speech recognition technology has been introduced to daily life.
Based on the MSC of iFLYTEK, this system is analyzed and designed through object-oriented method with unified modeling language (UML). The Android speech assistant is aimed to help users for better human-computer interaction and to improve users’ lifestyles and habits through voice—the direct communication way in our life. It allows users to have a communicable speech assistant.
This system introduces such cases as feasibility study, requirement analysis, preliminary design, detailed design and system test in detail. Through reasonable module division, it reduces the coupling degree and improves the communication efficiency among modules with clear module division by implementing speech and semantic recognition module, music-play module, phone-call and SMS module, map module, query module and speech synthesis module.
Keywords: speech recognition, android, human-computer interaction, object-oriented。