音乐信号自适应加重网络增量调制的理论与实现

本文分析了音乐信号自适应加重网络增量调制(ΔM)的原理和适用性,从理论上推导了自适应加重网络的传递函数表达式,且描绘了音乐信号的加重曲线,并得出了在工作频率为3KHz可提高信噪比约7dB的结论。在文章的最后给出了整个自适应加重网络实现的具体框图和部分电路。     

计算机音乐制作中电子合成音色的应用探析

随着科技处理手段的不断改进,电子合成音色创造的无限性和声音调制的变化性越发的显著,造就了音响特征的独特性。而音响特征的独特性,很大程度地导致了电子合成音色和声学乐器音色在音乐作品的配器和制作过程中具有明显的差异性。首先介绍了电子音色的音响特征和音色构成、命名和分类,接着分析了电子音色在音乐织体各层次中的应用,进而总结了电子音色编辑的独特性及主要手段,为电子音色在现代音乐中的制作提供一定的参考。     

无线音乐基地移动互联网业务平台架构演进方案

移动互联网业务正逐步成为整个中国移动的重点业务,无线音乐基地是中国移动自有移动互联网业务的重要示范。移动互联网业务平台IT架构的好坏是保证音乐业务能否快速发展的前提。本文在分析无线音乐基地IT架构现状的基础上,结合移动互联网业界IT架构技术和理念的发展趋势,探讨了无线音乐基地IT架构的演进方案。     

一种基于短时谱估计和人耳掩蔽效应的语音增强算法

该文结合短时谱估计算法和人耳掩蔽效应提出了一种单通道语音增强算法。该算法在MMSE准则下采用了非固定参数的语音跟踪,并且引入人耳掩蔽效应动态的确定增强滤波器的传递函数以适应语音信号的变化。实验结果表明：该算法使降噪后的语音信号有较小的语音失真并且很好地抑制了音乐噪声。     

The individual success of musicians, like that of physicists, follows a stretched exponential distribution

Over the last five years or so, a number of studies have focussed on the distribution of `success' in physics and other sciences; in these studies, `success' is measured by the number of times a paper, or an author, is cited. The distribution of citations of individual papers approximates to a power-law [S. Redner, Eur. Phys. J. B 4, 131 (1998)], while lifetime total citations of the 1120 most-cited physicists follows a stretched exponential [J. Laherrère, D. Sornette, Eur. Phys. J. B 2, 525 (1998)]. Here, I examine the distribution of success in popular music, a field of creativity that has social structures very different from those of physics, and which is generally held to be controlled primarily by fashion. For this study, the lifetime total success of bands was measured by the total number of weeks they were in the weekly `top 75' list of best-selling recordings. Like the lifetime success of physicists reported by Laherrere and Sornette, the success of the 6107 bands that appeared in the UK `top 75' from 1950 until 2000 follows a stretched exponential of the form P(x)dx = c(x ^{c - 1}/x ₀ ^c)exp[- (x/x ₀)^c]dx; for the music data, c = 0.5 and x ₀ = 9.37. Received 23 October 2001 Published online 25 June 2002     

Complexity-entropy causality plane: A useful approach for distinguishing songs

Nowadays we are often faced with huge databases resulting from the rapid growth of data storage technologies. This is particularly true when dealing with music databases. In this context, it is essential to have techniques and tools able to discriminate properties from these massive sets. In this work, we report on a statistical analysis of more than ten thousand songs aiming to obtain a complexity hierarchy. Our approach is based on the estimation of the permutation entropy combined with an intensive complexity measure, building up the complexity-entropy causality plane. The results obtained indicate that this representation space is very promising to discriminate songs as well as to allow a relative quantitative comparison among songs. Additionally, we believe that the here-reported method may be applied in practical situations since it is simple, robust and has a fast numerical implementation.