【摘要】 大多数乐谱识别工作都是在MIDI格式文件下进行的,而音乐数据大多采用音频格式存储,为此讨论一种从WAV音频文件的独奏乐曲信号中识别出乐谱的方法。采用离散余弦变换(DCT)结合能量比对的手段,并提出了一种变化音最少法则:以十六分音符对应的时值作为步长,将乐曲信号分为若干个子段;对每个子段进行一维DCT操作,提取基音频率;对相邻子段进行能量比对,查找音符的端点;利用变化音最少法则,生成乐谱。实验表明此方法具有良好的识别效果。更多还原

【Abstract】 Most work about musical score recognition is based on MIDI format file;however,most musical data are stored in audio frequency format.Therefore,this paper discussed a musical score recognition method from WAV format file including solo music signal,adopted the Discrete Cosine Transform(DCT) combined with energy,and presented a principle of least derived notes.The music signal was divided into several sub-sections and the length of each section was equal to the duration of one semiquaver.The base frequency was obtained using one dimension DCT operated on each section.The extreme points of the musical notes were found by comparison with the adjacent sub-sections.And then,the musical scores were got using the principle of least derived notes.The experiments show that this method is very effective.更多还原