音乐节奏感知的模式识别研究

Research on Pattern Recognition of Music Rhythm Perception

随着音乐技术的不断发展和普及,音乐节奏感知在音乐信息处理和音乐理解中扮演着重要的角色。基于此,通过对音乐信号的分析和处理,提供一种可行的方法来自动识别和理解音乐中的节奏模式,从而加深对音乐的感知和理解。首先,对音乐信号进行预处理,包括去除噪声、归一化处理等;其次,提出一种新的基于直方图的音乐节奏检测方法,通过对音乐节拍序列进行分析和建模来实现音乐节奏感知;最后,进行实验验证。

With the continuous development and popularization of music technology,music rhythm perception plays an important role in music information processing and music understanding.Based on this,by analyzing and processing music signals,a feasible method is provided to automatically recognize and understand rhythm patterns in music,thereby deepening the perception and understanding of music.Firstly,preprocess the music signal,including noise removal,normalization processing,etc.Secondly,a new music rhythm detection method based on histograms is proposed,which achieves music rhythm perception by analyzing and modeling music beat sequences.Finally,conduct experimental verification.