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Design and Visualization for Exploring Real-World Data

Richard Zhang
2021 IEEE Computer Graphics and Applications  
Finally, "Blending Machine Learning and Interaction Design in Audio Explorer," the winning entry of the 2018 VAST Challenge, presents an interactive data exploration tool to help domain experts better  ...  The Audio Explorer provides an effective means to communicate machine learning results through a combination of geospatial, temporal, and auditory visualizations to facilitate information discovery. 0272  ... 
doi:10.1109/mcg.2021.3057725 fatcat:6zry4tzedrelfn4chfrxbkbueu

Electrifying Opera: Amplifying agency for opera singers improvising with interactive audio technology

Kristin Norderval
2020 Zenodo  
, and asks what types of sound design and interactive systems might reduce some of the barriers opera singers encounter in relation to the innovations of the digital revolution.  ...  This research project examines the technical, physical and pedagogical challenges that opera singers face in relation to the use of interactive audio processing technology in opera.  ...  It spans the fields of operatic performance practice, interactive computer music and composition, sound design, machine learning and the emergent field of active acoustics.  ... 
doi:10.5281/zenodo.3931875 fatcat:cvsnn5jc2vdczcq6b3w4gfbhni

Blended Tutorials: Blended Synchronous Learning in Mathematics

Andrew David James Potter, Colin Blundell
2022 MSOR Connections  
Particular emphasis is given to the unique challenges in learning mathematics, and in the distance learning context of The Open University.  ...  The report concludes with recommendations for the design of blended tutorials, and recommendations for future research.  ...  Special thanks to the support staff of The Open University in Scotland, for lending audio/visual equipment for the blended tutorials.  ... 
doi:10.21100/msor.v20i2.1306 fatcat:dns5hob77ng5xas6jj32mrlyye

Towards Game Design via Creative Machine Learning (GDCML) [article]

Anurag Sarkar, Seth Cooper
2020 arXiv   pre-print
In recent years, machine learning (ML) systems have been increasingly applied for performing creative tasks.  ...  In this paper, we argue for leveraging and repurposing such creative techniques for designing content for games, referring to these as approaches for Game Design via Creative ML (GDCML).  ...  Such visualizations, particularly when made interactive, could allow designers to explore the learned latent space and interactively search for desired levels and other content.  ... 
arXiv:2008.13548v1 fatcat:54eafqo6sng2jk7jqpj3ocitvi

Design and Implementation of Music Teaching Platform in College Based on Android Mobile Technology

Juan Tong
2016 International Journal of Emerging Technologies in Learning (iJET)  
This paper took chorus conduction in university music course as experiment subject, through analysis of teaching resources based on Android system and its design principle, analysis of teaching machine  ...  According to the characteristics of multimedia teaching, this paper discussed application of informational teaching resources in university music teaching and explored ways to improve the quality of music  ...  Login Interface of Teaching Machine Based on Android is as figure 3 and 2) Audio regulation design in Android This system is used to add audio equalizer adjustment in Android devices.  ... 
doi:10.3991/ijet.v11i05.5686 fatcat:dbmynejaangklb6gauuqdprfqu

Blending the physical and the virtual in music technology

George Tzanetakis, Sidney Fels, Michael Lyons
2013 Proceedings of the 21st ACM international conference on Multimedia - MM '13  
It continues with an overview of signal processing and machine learning methods which are needed for more advanced work in new musical interface design.  ...  New musical interfaces use a variety of sensing (and actuating) modalities to receive and present information to users, and often require techniques from signal processing and machine learning in order  ...  in the field: ranging from design and aesthetics of music technology to the digital signal processing and machine learning techniques required for advanced work in the field.  ... 
doi:10.1145/2502081.2502238 dblp:conf/mm/TzanetakisFL13 fatcat:7wzvbg6na5fi5k6s4swmlgvplq

Interactions in Mobile Sound and Music Computing

Michele Geronazzo, Federico Avanzini, Federico Fontana, Stefania Serafin
2019 Wireless Communications and Mobile Computing  
, and interactive audio systems.  ...  In Creating an Audio Story with Interactive Binaural Rendering in Virtual Reality, the design of two simple interactions based on head-tracking and hand controller aims at demonstrating that the quality  ... 
doi:10.1155/2019/5601609 fatcat:gsxikhosr5g45i5u7kglgj7kja

Apollo: An Interactive Web Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation

Renaud Bougueng Tchemeube, Jeff Ens, Philippe Pasquier
2019 Zenodo  
With the recent developments in machine intelligence and web technologies, new generative music systems are being explored for assisted composition using machine learning techniques on the web.  ...  We present the system design, implementation details, discuss and conclude with future work for the system.  ...  Interactive Machine Learning for Music Interactive machine learning refers to the idea that, given the complexity and effort involved in machine learning activities such as experimenting with data processing  ... 
doi:10.5281/zenodo.4285259 fatcat:5kvvl5vxmfgbregqd7ytqie2km

Learning Indirect Acquisition of Instrumental Gestures using Direct Sensors

George Tzanetakis, Ajay Kapur, Adam Tindale
2006 2006 IEEE Workshop on Multimedia Signal Processing  
In this paper the idea of using direct sensors to train a machine learning model for indirect acquisition is explored.  ...  On the other hand, indirect acquisition approaches typically require sophisticated signal processing and possibly machine learning algorithms in order to extract the relevant information from the audio  ...  In addition, we explore regression which refers to machine learning systems where the output is a continuous variable.  ... 
doi:10.1109/mmsp.2006.285264 dblp:conf/mmsp/TzanetakisKT06 fatcat:bl4r7pxcvbgghn66jc55kiivdq

Eliza meets the wizard-of-oz

Steven P. Dow, Manish Mehta, Blair MacIntyre, Michael Mateas
2010 Proceedings of the 28th international conference on Human factors in computing systems - CHI '10  
This paper also outlines a design space for blending machine and human control in live character experiences.  ...  What authoring possibilities arise by blending machine and human control of live embodied character experiences?  ...  AWKNOWLEDGEMENTS We thank the Beall Center for Art and Technology for hosting our AR Façade installation, Georgia Tech's GVU Center for generous financial support, and Björn Hartmann and Scott Klemmer  ... 
doi:10.1145/1753326.1753408 dblp:conf/chi/DowMMM10 fatcat:6wwgc45rljc7jmb4aqgnyzllnm

Teaching analytics

Luis P. Prieto, Kshitij Sharma, Pierre Dillenbourg, María Jesús
2016 Proceedings of the Sixth International Conference on Learning Analytics & Knowledge - LAK '16  
This paper presents a case study exploring the potential of machine learning techniques to automatically extract teaching actions during classroom enactment, from five data sources collected using wearable  ...  sensors (eye-tracking, EEG, accelerometer, audio and video).  ...  Another limitation of this study is the feature set and machine learning methods explored.  ... 
doi:10.1145/2883851.2883927 dblp:conf/lak/PrietoSDJ16 fatcat:iwq6b7hcr5e4hisemgorf3fyuy

Pseudo Campus: The Future Educational Support

Indiramma Indiramma, Abhijith U, P Anup Nayak, Pavan N, Sharan R Prasad
2015 International Journal of Computer Applications  
The Blended learning System includes online interactive discussions in addition to the traditional face-toface classroom training.  ...  The main idea of Blended learning is to overcome some of the disadvantages of traditional classroom interaction of student and instructor.  ...  ACKNOWLEDGEMENT The authors would like to acknowledge and thank Technical Education Quality Improvement Programme [TEQIP] phase2, and BMS College of Engineering, Bangalore for supporting the research work  ... 
doi:10.5120/20655-3226 fatcat:lu2zyboyqndrpodtntcypti5de

Supporting Audiography: Design of a System for Sentimental Sound Recording, Classification and Playback [chapter]

Tijs Duel, David M. Frohlich, Christian Kroos, Yong Xu, Philip J. B. Jackson, Mark D. Plumbley
2018 Communications in Computer and Information Science  
We discuss our design decisions and process in creating these tools that harmonize user interaction and machine listening to evoke rich memories and conversations in an exploratory and open-ended way.  ...  In this paper we explore the possibility of using sound in the same sort of way, in a practice we call audiography.  ...  We would like to thank our other colleagues on that project for their input to the design ideas in this paper.  ... 
doi:10.1007/978-3-319-92270-6_4 fatcat:h5n7ej7ej5hofgcjo7bkiywjxm

Immersive full-surround multi-user system design

JoAnn Kuchera-Morin, Matthew Wright, Graham Wakefield, Charles Roberts, Dennis Adderton, Behzad Sajadi, Tobias Höllerer, Aditi Majumder
2014 Computers & graphics  
interdisciplinary teams of co-located researchers in exploring complex information through interactive visual and aural displays in a full-surround, immersive environment.  ...  These facilities can be accessed and controlled by a multimodal framework for authoring applications integrating visual, audio, and interactive elements. We report on the achieved instrument design.  ...  This material is based in part upon work supported by the Robert W. Deutsch Foundation, the National Science Foundation under Grant numbers 0821858, 0855279, and 1047678, by the U.S.  ... 
doi:10.1016/j.cag.2013.12.004 fatcat:ovzloibzyvgtxck53xq37a5rj4

An Interactive Garment for Orchestra Conducting: IoT-enabled Textile & Machine Learning to Direct Musical Performance

Berit Greinke, Giorgia Petri, Pauline Vierne, Paul Biessmann, Alexandra Börner, Kaspar Schleiser, Emmanuel Baccelli, Claas Krause, Christopher Verworner, Felix Biessmann
2021 Proceedings of the Fifteenth International Conference on Tangible, Embedded, and Embodied Interaction  
We present an overview and initial results from a project bringing together orchestra conducting, e-textile material studies, costume tailoring, low power computing and machine learning (ML).  ...  In particular the user interface of the ML system is designed such that the training of the algorithms can be intuitively controlled by the conductor, in sync with the MIDI clock.  ...  A low-power SoC uses RIOT [1] and Bluetooth Low-energy to interconnect in real-time the analogue output of textile sensors, with a Machine Learning workstation (based on Wekinator 3 ) and a digital audio  ... 
doi:10.1145/3430524.3442451 fatcat:f6fwvv25wnc5nmfguozlxa23ju
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