基于安卓系统的语音识别软件开发
本软件主要主要目标是构建语言识别系统，包括语音信号的预处理，特征提取，模型库的建立等，然后建立隐马尔可夫模型，实现识别的功能。从实际的硬件平台出发，进行语音识别系统测试，并对识别的结果进行分析。根据分析得出的结论是，在安卓系统的语音软件下，不同的人都会看到他更感兴趣的搜索结果，提高了搜索的效率。
关键词： 安卓系统；语音识别软件；隐马尔可夫模型；搜索效率9106
Based on the Andrews system of voice recognition software development
Abstract: Let the machine understand human language, this is people dream for a long time to get things. Speech recognition software, based on the android system is to enable language signal processing and identification of android devices, automatic recognition and understanding of human language. Android system because of its platform independence, openness, and has rich hardware selection, application is varied, the android system now has become a real and complete mobile software development.
This software mainly main goal is to build language recognition system, including speech signal preprocessing, feature extraction, the establishment of the model library, etc., and then hidden markov model is established, can realize the function of identification. Starting from the actual hardware platform, a speech recognition system test, and the recognition results are analyzed. According to the analysis concluded that, under the android's voice software, different people will see he is more interested in the search results, and improve the efficiency of search.
Keywords: android；voice recognition software； hidden markov models； search efficiency
目录
摘要 i
Abstract i
目录 iii
1 绪论 1
1.1 课题研究背景与意义 1
1.2 语音识别的国内外研究状态 2
1.2.1 国外现状 2
1.2.2 国内现状 3
1.3 研究的主要内容 3
1.4 研究的主要方向 4
1.4.1 连续语音识别与理解的自然 4
1.4.2 合成高度自然的语音 4
1.4.3 语音技术和多媒体技术相结合 4
1.4.4 语音技术和网络技术相结合 4
1.4.5 多语种 4
2 Android平台介绍 6
2.1 白日ANDROID平台的发展 6
2.2 应用程序框架 7
2.3 安卓系统平台优势 8
2.3.1 透明度优势 8
2.3.2 不受束缚 8
2.3.3 丰富的硬件 8
2.3.4 促进发展 9
2.3.5 谷歌应用程序 9
2.4 安卓的系统组件 9
2.4.1 Activity 9
2.4.2 Service 9
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