摘要
介绍了常见的基于内容的音频检索的关键技术和音频特征提取的一般方法,讨论了其中基于隐马尔科夫(HMM)模型识别音频例子的关键问题,并在此基础上给出了一个基于内容的音频信息检索系统的框架和实例。
Audio retrieval is a new object in multimedia information retrieval. We can get audio semantic content by analysing it's raw audio signal. This paper firstly put out several key techniques about audio retrieval and audio feature selection, then gave a research on audio clip recognition based on HMM, finally, presented a frame and an application of content-based retrieval.'
出处
《计算机应用》
CSCD
北大核心
2003年第12期52-54,共3页
journal of Computer Applications
