The Application of Speech/Music Automatic Discrimination Based on Gray Correlation Analysis

摘要：

It is important for automatic discrimination of speech/music in content-based indexing and retrieval of cognitive multimedia. Previous work bases on longtime characteristics such as perceptual features like pitch, brightness, differential parameters, variances, time-averages of spectral parameters and etc. However, these algorithms are relatively complex and some of processing speed is not efficient. In this paper, the application of gray correlation analysis method in speech/music discrimination based on unique probability statistics of short energy root mean square (RMS) is present. The simulation results for different segments of music/speech signals discrimination and both algorithms indicate that gray correlation analysis is feasible. This new algorithm is more effective with accurate performance than that of the reference 5 in real-time multimedia applications.

关键词： Cognitive multimedia Discrimination speech/music RMS gray correlation analysis.

作者: Chen Gong Zhang Xiong-wei

作者单位: ICE of PLA University, Nanjing, China

会议类型: 国际会议

会议名称: Firth IEEE International Conference on Cognitive Informatics(第五届认知信息国际会议)

会议地点: 北京

会议语种:英文

页码: 68-72

在线出版日期: 2006-07-17（万方平台首次上网日期，不代表论文的发表时间）