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Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion最新文献

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My Sound Space: An attentional shield for immersive redirection 我的声音空间:沉浸式重定向的注意力盾牌
Pub Date : 2018-09-12 DOI: 10.1145/3243274.3243309
Martin Ljungdahl Eriksson, Lena Pareto, Ricardo Atienza, K. Hansen
In the context of extended reality, the term immersion is commonly used as a property denoting to which extent a technology can deliver an illusion of reality while occluding the users' sensory access to the physical environment. In this paper we discuss an alternative interpretation of immersion, used in the My Sound Space project. The project is a research endeavor aiming to develop a sound environment system that enables a personalized sound space suitable for individual work places. The medium, which in our case is sound, is transparent and thus becomes an entangled part of the surrounding environment. This type of immersion is only partly occluding the users sensory access to physical reality. The purpose of using the sound space is not to become immersed by the sounds, rather to use the sounds to direct cognitive attention to get immersed in another cognitive activity.
在扩展现实的背景下,术语沉浸通常被用作一种属性,表示一种技术可以在多大程度上提供现实的幻觉,同时阻断用户对物理环境的感官访问。在本文中,我们将讨论沉浸感的另一种解释,并将其应用于《My Sound Space》项目中。该项目是一项旨在开发适合个人工作场所的个性化声音空间的声音环境系统的研究工作。媒介,在我们的例子中是声音,是透明的,因此成为周围环境的纠缠部分。这种类型的沉浸只是部分阻断了用户对物理现实的感官访问。使用声音空间的目的不是为了沉浸在声音中,而是利用声音来引导认知注意力,使其沉浸在另一种认知活动中。
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引用次数: 1
Some reflections on the relation between augmented and smart musical instruments 增强型乐器与智能乐器关系的思考
Pub Date : 2018-09-12 DOI: 10.1145/3243274.3243281
L. Turchet
Augmented musical instruments (AMIs) consist of the augmentation of conventional instruments by means of sensor or actuator technologies. Smart musical instruments (SMIs) are instruments embedding not only sensor and actuator technology, but also wireless connectivity, onboard processing, and possibly systems delivering electronically produced sounds, haptic stimuli, and visuals. This paper attempts to disambiguate the concept of SMIs from that of AMIs on the basis of existing instances of the two families. We counterpose the features of these two families of musical instruments, the processes to build them (i.e., augmentation and smartification), and the respective supported practices. From the analysis it emerges that SMIs are not a subcategory of AMIs, rather they share some of their features. It is suggested that smartification is a process that encompasses augmentation, as well as that the artistic and pedagogical practices supported by SMIs may extend those offered by AMIs. These comparisons suggest that SMIs have the potential to bring more benefits to musicians and composers than AMIs, but also that they may be much more difficult to create in terms of resources and competences to be involved. Shedding light on these differences is useful to avoid confusing the two families and the respective terms, as well as for organological classifications.
增强型乐器(AMIs)是指通过传感器或执行器技术对传统乐器进行增强。智能乐器(SMIs)是一种不仅嵌入传感器和执行器技术的乐器,还嵌入无线连接、板载处理以及可能提供电子声音、触觉刺激和视觉效果的系统。本文试图以两类家庭的现有实例为基础,消除两类家庭的概念歧义。我们对比了这两个乐器家族的特征,构建它们的过程(即增强和智能化),以及各自支持的实践。从分析中可以看出,smi并不是ami的子类别,相反,它们共享ami的一些特征。有人建议,智能化是一个包含增强的过程,而且由智能管理学院支持的艺术和教学实践可以扩展智能管理学院提供的实践。这些比较表明,与ami相比,smi有可能给音乐家和作曲家带来更多的好处,但就参与的资源和能力而言,smi可能更难创造。阐明这些差异有助于避免混淆这两个科和各自的术语,以及器官分类。
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引用次数: 8
Real time Pattern Based Melodic Query for Music Continuation System 基于实时模式的音乐接续系统旋律查询
Pub Date : 2018-09-01 DOI: 10.1145/3243274.3243283
Sanjay Majumder, Benjamin D. Smith
This paper presents a music continuation system using pattern matching to find patterns within a library of MIDI files using a realtime algorithm to build a system which can be used as interactive DJ system. This paper also looks at the influence of different kinds of pattern matching on MIDI file analysis. Many pattern-matching algorithms have been developed for text analysis, voice recognition and Bio-informatics but as the domain knowledge and nature of the problems are different these algorithms are not ideally suitable for real time MIDI processing for interactive music continuation system. By taking patterns in real-time, via MIDI keyboard, the system searches patterns within a corpus of MIDI files and continues playing from the user's musical input. Four different types of pattern matching are used in this system (i.e. exact pattern matching, reverse pattern matching, pattern matching with mismatch and combinatorial pattern matching in a single system). After computing the results of the four types of pattern matching of each MIDI file, the system compares the results and locates the highest pattern matching possibility MIDI file within the library.
本文提出了一种利用模式匹配在MIDI文件库中查找模式的音乐接续系统,并采用实时算法构建了一个可作为交互式DJ系统的系统。本文还探讨了不同类型的模式匹配对MIDI文件分析的影响。许多模式匹配算法已经被开发用于文本分析、语音识别和生物信息学,但由于领域知识和问题性质的不同,这些算法并不理想地适合于交互式音乐连续系统的实时MIDI处理。通过实时获取模式,通过MIDI键盘,系统在MIDI文件的语料库中搜索模式,并从用户的音乐输入中继续播放。该系统使用了四种不同类型的模式匹配(即精确模式匹配、反向模式匹配、不匹配模式匹配和单个系统中的组合模式匹配)。系统对每个MIDI文件的四种模式匹配结果进行计算后,对结果进行比较,找出库中模式匹配可能性最高的MIDI文件。
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引用次数: 0
Surfing with Sound: An Ethnography of the Art of No-Input Mixing: Starting to Understand Risk, Control and Feedback in Musical Performance 声音冲浪:无输入混音艺术的人种志:开始理解音乐表演中的风险、控制和反馈
Pub Date : 2018-06-18 DOI: 10.1145/3243274.3243289
A. Chamberlain
The idea of No-Input Mixing may appear at first difficult to understand, after all there is no input, yet artists, performers and sound designers have used a variety of approaches using such feedback systems to create music. This paper uses ethnographic approaches to start to understand the methods that people employ when using no-input systems, and in so doing tries to make the invisible, visible. In unpacking some of these techniques we are able to render understandings, of what at first appears to be a random and autonomous set of sounds, as a set of audio features that are controlled, created and are able to be manipulated by a given performer. This is particularly interesting for researchers that involved in the design of new feedback-based instruments, Human Computer Interaction and aleatoric-compositional software.
无输入混音的概念乍一看可能很难理解,毕竟没有输入,但艺术家、表演者和声音设计师已经使用各种方法使用这种反馈系统来创作音乐。本文使用人种学方法开始理解人们在使用无输入系统时使用的方法,并试图将不可见变为可见。在解开这些技巧的过程中,我们能够呈现出一种理解,即最初看起来是随机和自主的声音集,作为一组由给定表演者控制,创建和操纵的音频特征。这对于参与设计新的基于反馈的仪器、人机交互和任意构图软件的研究人员来说尤其有趣。
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引用次数: 2
期刊
Proceedings of the Audio Mostly 2018 on Sound in Immersion and Emotion
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