Playing vibrotactile music: A comparison between the Vibrochord and a piano keyboard

A novel vibrotactile musical input device called the Vibrochord, which is designed to deliver patterns of vibration to the skin, not to the ear, through the use of a vibrotactile display called the Emoti-Chair, is evaluated using proposed evaluation frameworks. Findings show that the mixture of frameworks used in this study provided valuable insight into the design of this novel musical device. Results obtained through the implementation of a mixture of these frameworks show that the Vibrochord facilitated an increased accuracy rate over the traditional piano keyboard, when inexperienced vibrotactile musicians tried to repeat vibrotactile patterns or “melodies”.     

Effects of real‐time visual feedback on pre‐service teachers' singing

This pilot study focuses on the use real‐time visual feedback technology (VFT) in vocal training. The empirical research has two aims: to ascertain the effectiveness of the real‐time visual feedback software ‘Sing & See’ in the vocal training of pre‐service music teachers and the teachers' perspective on their experience with VFT. Forty participants from an undergraduate music teacher education programme were randomly assigned to three groups. The first two groups were assigned the teacher and student versions of Sing & See, respectively, and the third group served as a control group without access to the software. The experimental groups were given 12 weeks to use the software for vocal training on a self‐regulated basis. The technique of complex selections (TCS) was designed to assess the pitch accuracy and richness of vocal timbre. Pre‐ and post‐test singing tasks showed that the participants from the experimental groups significantly improved their vocal timbre. A questionnaire survey conducted after the training period found that most of the participants in the experimental s were positive about the effectiveness of VFT software in vocal training. As future leaders in the implementation of music education technology, pre‐service music teachers expressed a positive attitude towards the use of VFT as a technology‐enhanced learning (TEL) component in music education.     

Pitch Detection Enhancement Employing Music Prediction

Pitch detection methods are widely used for extracting musical data from digital signals. A review of those methods is presented in the paper. Since musical signals may contain noise and distortion, detection results can be erroneous. In this paper a new method employing music prediction to support pitch determination is introduced. This method was developed in order to override disadvantages of standard pitch detection algorithms. The new approach utilizes signal segmentation and pitch prediction based on musical knowledge extraction employing artificial neural networks. Signal segmentation allows for estimating the pitch for a single note as a whole, therefore suppressing errors in transient and decay phases. Pitch prediction helps correcting pitch estimation errors by tracking musical context of the analyzed signal. As it was shown in the experimental results, pitch estimation errors may be reduced by using both signal segmentation and music prediction techniques.     

生活的幻想曲——谈古典音乐的视觉概念与视觉推广

人的生活是由各种感触组成的,视觉和听觉是不可缺少的部分,绘画和音乐是这二者的代表,音乐是可以被画出来的,绘画也可以充满节奏韵律感,本文试图通过由古典音乐唱片封套的设计概念的思索,对视觉与听觉信息互相转换进行分析,并试图开发一种突破传统概念的新推广策略,让受众体既能听音乐也能看音乐,最终目的是要使古典音乐更加被普遍的接受,因为它能让生活变的丰富。     

多用户接入与SLT编码的二维喷泉系统及性能分析

在物联网时代,多用户接入系统的设计将迎来巨大的挑战。本文在现有系统基础上提出了一种多用户接入与SLT编码结合的二维喷泉系统。在时间层上对各用户原始信息进行SLT编码,在用户层上各用户通过接入概率竞争传输,从而构成一种二维喷泉形式,该系统充分利用喷泉编码能有效提高信号抗干扰能力。对于采用SLT编码的每个用户,可以简单地使用置信传播译码算法进行译码。仿真结果表明,与已有多用户接入系统相比,本文提出的系统明显能实现更好的吞吐性能,且解决了已有系统译码算法在较高接入概率下性能急剧下降的问题,从而能给更多的用户进行信息传输的机会,在多用户数据传输中有很好的实用性。     

区间微调分支界定混合P2P云存储喷泉编码优化 *

针对传统对等存储系统中,存在数据上载时间长,带宽控制不理想的问题,提出动态步长分支界定P2P存储及云存储混合喷泉编码优化算法。首先,根据P2P存储及云存储各自特点,构建混合式P2P存储及云存储网络系统,该系统通过喷泉编码、参数控制单元、节点管理器及上传调度程序构建;其次,针对存储编码符号上传过程中,存在参数控制不理想,数据传输效果差的问题,在分支界定算法基础上,设计区间点微调的动态分支界定算法,实现算法计算复杂度降低,并可有效对上载时间长和网络带宽显著下降问题进行处理;最后,利用对比仿真显示,算法在数据上载时间及数据冗余度降低等指标上优于对比算法,验证了算法有效性。     

基于残差门控循环卷积和注意力机制的端到端光学乐谱识别方法

光学乐谱识别对推动音乐智能化与数字化有着重大意义。传统的乐谱识别流程冗杂,易导致错误积累,但目前基于序列建模的乐谱识别方法不能从全尺度上获取音符上下文信息,在识别效果上仍有提升空间。为此,提出一种基于残差门控循环卷积和注意力机制的端到端光学乐谱识别方法。以残差门控循环卷积作为骨干网络,丰富模型提取上下文信息能力;结合一个注意力机制解码器,能更好地挖掘乐谱特征信息及其内部相关性,增强模型表征能力并对乐谱图像中的音符及音符序列进行识别。实验结果表明,改进后的网络与原卷积循环神经网络（CRNN）模型相比,符号错误率和序列错误率均显著下降。     

3DS MAX中粒子系统的应用研究

在3dsmax教学与实践中,通过对"粒子系统与空间扭曲"的进一步研究,利用"噪波(Noise)"修改器、"重力"和"导向板"对"喷射"粒子进行控制的方法,制作出动感十足的喷泉效果。     

Compositional strategies with generative scores

Generative processes have found broad application in the design of innovative musical forms but it is only comparatively recently through the affordances of modern digital technologies that composers have been able to explore integrating such processes in the real-time creation of musical scores. This paper explores some of these affordances as well as a variety of approaches to some of the key aesthetic and compositional challenges through the analysis of recent works by composers Georg Hajdu, Ryan Ross Smith, Jason Freeman, David Kim-Boyle, and Arne Eigenfeldt.