多线性的

Firstly,we particularly explained the algorithmic of themusic recognition.Then,we made a study of the music characteristic and the musicrecognition methods.As for the burrs of the music signal,we put forward a curveplastic method to eliminate the burrs.Considering the difficulties of detecting thepoint of the music speech,we made use of the multi-frequency energy curve to detectthe end-point of the music signal with the crossing zeros rate.As for thedisadvantages of the large operation and influence of the formant,we improved theAMDF theory with the linear prediction algorithmic to detect the error.In order toobtain the characteristic parameter of the music signal,wo calculate the MFCCparameter to obtain the template and the pending signal characteristic parameter.Inorder to improve the rate of the recognition,considering the disadvantages of theDTW algorithmic,we find a new method to improved the DTW algorithmic bybroadening the point of the music signal and made simulation experimentation;As forthe disadvantages of the contraposition grade to the pitch,cadent and sing name,wefind a method to dynaic adjust the results of the recognition to improve the accuracyof the grade.

详细阐述了嵌入式音乐识别算法的详细设计与实现，研究了音乐语言的特点和音乐识别的侧重点，并阐述了基于音乐信号特色的语音处理及识别方法；针对音乐信号中的毛刺干扰，提出了曲线整形的思想，消除了音乐信号中的毛刺；针对音乐信号端点检测困难的特点，利用多频段能量曲线分割结合过零率来实现端点准确检测；针对音高提取运算量大且容易受共振峰影响的特点，利用线性预测残差的方法对传统的AMDF算法进行了改进并提取出了音高，在实际实现时，优化了AMDF算法，减少了计算量；为了得到较好的特征参数，通过求取梅尔频标倒谱系数的方法，分别提取了模板信号特征参数和待测信号特征参数；为了提高识别率，针对传统DTW算法的缺陷，采用了放宽端点和声刺激法改进了传统的DTW算法的性能并进行了仿真试验，使音乐识别率得到明显提高；在音高、节奏评分时，针对对位评分的缺点，采取了动态调整的方法提高了评分的准确度。

For a big chunk of credit-card losses; the number of filings (and thus charge-off rates) would be rising again, whether

年美国个人破产法的一个改动使得破产登记急速下降，而后引起了信用卡大规模的亏损。

Eph. 4:23 And that you be renewed in the spirit of your mind

弗四23 而在你们心思的灵里得以更新