scholarly journals A General Framework for Visualization of Sound Collections in Musical Interfaces

2021 ◽  
Vol 11 (24) ◽  
pp. 11926
Author(s):  
Gerard Roma ◽  
Anna Xambó ◽  
Owen Green ◽  
Pierre Alexandre Tremblay
Keyword(s):  
Computer Music ◽  
General Framework ◽  
Feature Learning ◽  
Feature Space ◽  
Interactive Applications ◽  
Music Production ◽  
Segmentation Analysis ◽  
Audio Data ◽  
Space Layout ◽  
And Control

While audio data play an increasingly central role in computer-based music production, interaction with large sound collections in most available music creation and production environments is very often still limited to scrolling long lists of file names. This paper describes a general framework for devising interactive applications based on the content-based visualization of sound collections. The proposed framework allows for a modular combination of different techniques for sound segmentation, analysis, and dimensionality reduction, using the reduced feature space for interactive applications. We analyze several prototypes presented in the literature and describe their limitations. We propose a more general framework that can be used flexibly to devise music creation interfaces. The proposed approach includes several novel contributions with respect to previously used pipelines, such as using unsupervised feature learning, content-based sound icons, and control of the output space layout. We present an implementation of the framework using the SuperCollider computer music language, and three example prototypes demonstrating its use for data-driven music interfaces. Our results demonstrate the potential of unsupervised machine learning and visualization for creative applications in computer music.

Toward an Agenda for Error Research

1992 ◽  
Vol 36 (9) ◽  
pp. 640-643 ◽  
Author(s):  
Neville Moray
Keyword(s):  
Cognitive Psychology ◽  
General Framework ◽  
Human Error ◽  
Social Impact ◽  
Great Increase ◽  
Restricted Area ◽  
Psychological Mechanisms ◽  
The Individual ◽  
And Control

There has been a great increase in interest in human error and its impact on the individual and society in recent years. The present symposium is but one example of this in a restricted area. Several general accounts of human error and the psychological mechanisms which underlie it have appeared in recent years, but for the most part these have concentrated on accounts of error based on research on the cognitive psychology of the individual. In this paper I discuss a more general framework for the stidy of error, not for the purpose of understanding it alone, but rather for putting into place a program for muitigating its effect in the larger arena of social impact. Only by integrating research at a variety of levels and using a variety of techniques can we hope to understand and control the effects of error.

scholarly journals Optimization of Impervious Surface Space Layout for Prevention of Urban Rainstorm Waterlogging: A Case Study of Guangzhou, China

2019 ◽  
Vol 16 (19) ◽  
pp. 3613 ◽  
Author(s):  
Yu ◽  
Zhao ◽  
Fu
Keyword(s):  
Urban Renewal ◽  
Surface Runoff ◽  
Prevention And Control ◽  
Urban Runoff ◽  
Impervious Surface ◽  
Impervious Surfaces ◽  
Space Layout ◽  
And Control ◽  
Runoff Plots

With the rapid expansion of impervious surfaces, urban waterlogging has become a typical “urban disease” in China, seriously hindering the sustainable development of cities. Therefore, reducing the impact of impervious surfaces on surface runoff is an effective approach to alleviate urban waterlogging. Presently, the development mode of many cities in China has shifted from an increase in urban scale to the improvement of urban quality through urban renewal, which is the current and future development path for most cities. Optimizing the design of impervious surfaces in urban renewal planning to reduce its impact on surface runoff is an important way to prevent and control urban waterlogging. The aim of this research is to construct an optimization model of impervious surface space layout under the framework of a geographic simulation technology-integrated ant colony optimization (ACO) and Soil Conservation Service curve number (SCS-CN) model (ACO-SCS) in a case study of Guangzhou in China. Urban runoff plots in the study area are divided according to the area of the urban planning unit. With the goal of minimizing the runoff coefficient, the optimal space layout of the impervious surfaces is obtained, which provides a technical method and reference for urban waterlogging prevention and control through urban renewal planning. The results reveal that the optimization of impervious surface space layout through ACO-SCS achieves a satisfactory effect with an average optimization rate of 9.52%, and a maximum optimization rate of 33.16%. The research also shows that the initial impervious surface layout is the key influencing factor in ACO-SCS. In the urban renewal planning stage, the space layout of the impervious surfaces with a high–low–high density discontinuous connection can be constructed by transforming medium-density impervious surfaces into low-density impervious surfaces to achieve the flat and long-type agglomeration of the low-density and high-density impervious surfaces, which can effectively reduce the influence of urban development on surface runoff. There is spatial heterogeneity of the optimal results in different urban runoff plots. Therefore, the policy of urban renewal planning for urban waterlogging prevention and control should be different. The optimized results of impervious surface space layout provide useful reference information for urban renewal planning.

The aesthetics of computer music: a questionable concept reconsidered

2000 ◽  
Vol 5 (3) ◽  
pp. 119-126 ◽  
Author(s):  
BARRY TRUAX
Keyword(s):  
Computer Music ◽  
Contemporary Music ◽  
Panel Discussion ◽  
Electroacoustic Music ◽  
Electronic Equipment ◽  
Music Production ◽  
European Philosophy ◽  
The Subject ◽  
Discussion Topic

In some informal remarks I made at a conference in 1979, I expressed a reluctance to deal with the subject of aesthetics, which historically is a product of European philosophy and which remains a troublesome concept for contemporary music where an aesthetic term such as ‘beauty’ seems to be studiously ignored (Truax 1980). In a recent, also informal article (Truax 1999) addressed as a ‘letter to a twenty-five-year old electroacoustic composer’, I predicted that the term ‘computer music’ would probably disappear since in an age where the computer is involved in nearly all electroacoustic music production, this term, which once distinguished a type of music from that made with analogue, electronic equipment, seemed today to be impossible to define rigorously. Therefore, the concept of the ‘aesthetics of computer music’, proposed as a panel discussion topic, initially seemed to me to be doubly suspect as to its meaning.

scholarly journals Learning Uniform Semantic Features for Natural Language and Programming Language Globally, Locally and Sequentially

2019 ◽  
Vol 33 ◽  
pp. 5845-5852
Author(s):  
Yudong Zhang ◽  
Wenhao Zheng ◽  
Ming Li
Keyword(s):  
Natural Language ◽  
Programming Language ◽  
Semantic Representation ◽  
Feature Learning ◽  
Feature Space ◽  
General Purpose ◽  
Semantic Features ◽  
Textual Data ◽  
Software Mining ◽  
Sequential Information

Semantic feature learning for natural language and programming language is a preliminary step in addressing many software mining tasks. Many existing methods leverage information in lexicon and syntax to learn features for textual data. However, such information is inadequate to represent the entire semantics in either text sentence or code snippet. This motivates us to propose a new approach to learn semantic features for both languages, through extracting three levels of information, namely global, local and sequential information, from textual data. For tasks involving both modalities, we project the data of both types into a uniform feature space so that the complementary knowledge in between can be utilized in their representation. In this paper, we build a novel and general-purpose feature learning framework called UniEmbed, to uniformly learn comprehensive semantic representation for both natural language and programming language. Experimental results on three real-world software mining tasks show that UniEmbed outperforms state-of-the-art models in feature learning and prove the capacity and effectiveness of our model.

scholarly journals Design of an Intelligent Management System for Agriculture Monitoring Based on the Internet of Things

2019 ◽  
Vol 8 (12) ◽  
pp. 3948-3950
Keyword(s):  
General Framework ◽  
Human Life ◽  
Water System ◽  
System Innovation ◽  
Current Status ◽  
Raspberry Pi ◽  
Water Utilization ◽  
Intelligent Management ◽  
And Control ◽  
The Internet Of Things

Water is the significant resource in human life. Around 80 % to 90 % water utilized in agriculture field. As because of step by step development in maturation and populace water utilization is additionally increments. There is a challenge before each nation to lessen the ranch water utilization and give new and sound nourishment. Today robotization is one of the significant jobs in human life. The framework isn't just gives comfort yet in addition diminish vitality, proficiency and efficient. At whatever point there is change in warmth, moistness and current status of downpour of the environment these sensors identifies the modification in temperature and stickiness and gives a punctuate sign to the raspberrypi. Presently a day the enterprises are utilizing a computerization and control machines which are high in expense and not appropriate for utilizing in a ranch and nursery turf. So in this work we structure a savvy water system innovation dependent on IOT utilizing Raspberry pi. The framework can be utilized to organize the water engine consequently and can likewise screen the development of plant by utilizing webcam. We can observe live spouting of ranch on mobile phone using machine application by using WirelessFidelity sort out. Raspberrypi is the essential heart of the general framework.

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