A study on music annotations based on the compressed domain of MPEG audio

在本研究中，我们主要使用TwinVQ压缩编码步骤中计算的序列或压缩音乐数据中的比特流来进行音乐注释。我们提出了三种方法：1)使用自相关系数序列分析音乐结构；2)使用从比特流中计算的LPC倒谱序列进行音乐类型分类；3)使用直接从比特流中提取的LSP参数进行印象词注释。

In this study, we focused on music annotation using a sequence computed in encoding step of TwinVQ compression or from a bit-stream in compressed music data. We proposed three methods for, 1) music structure analysis using a sequence of auto-correlation coefficients, 2) music genre classification using a sequence of LPC cepstrum computed from bit-stream, 3) impression word annotation using LSP parameter directly extracted from bit-stream.