scholarly journals Ambisonic Sound Design for Theatre with Virtual Reality Demonstration - A Case Study

10.29007/r6r4 ◽  
2019 ◽  
Author(s):  
Alexander Vilkaitis ◽  
Bruce Wiggins
Keyword(s):  
Virtual Reality ◽  
Source Separation ◽  
King Lear ◽  
Sound Design ◽  
Spatial Audio ◽  
Theatrical Production ◽  
Third Order ◽  
Back Seat ◽  
Spatial Unmasking

This paper discusses ambisonic sound design for a theatrical production of King Lear. Sound, and its use in theatre, has taken a back-seat in comparison to the development of other theatre technologies such as lighting, projection and automation in recent years. Spatial audio implementations in theatre give the sound designer and the artistic team much greater scope for creativity, along with improvements in source separation and intelligibility of sources due to spatial unmasking. A 360 degree video was also recorded, with first and third order ambisonic binaural reproductions of the sound design stitched on to the video to create a virtual reality experience. The project was successful, whilst highlighting some practical and perceptual limitations in spatial audio for theatre.

Virtual Reality Treatment for Agoraphobia: A Mexican Case Study

2006 ◽  
Author(s):  
Georgina Cardenas-Lopez ◽  
Sandra Munoz ◽  
Maribel Gonzalez ◽  
Carmen Ramos
Keyword(s):  
Virtual Reality

Virtual reality in vocal training: a case study

2021 ◽  
pp. 1-11
Author(s):  
Sati Doganyigit ◽  
Omer Faruk Islim
Keyword(s):  
Virtual Reality ◽  
Vocal Training

A Systematic Function Recommendation Process for Data-Driven Product and Service Design

2017 ◽  
Vol 139 (11) ◽  
Author(s):  
Zhinan Zhang ◽  
Ling Liu ◽  
Wei Wei ◽  
Fei Tao ◽  
Tianmeng Li ◽  
...  
Keyword(s):  
Subjective Experience ◽  
Vital Role ◽  
Data Driven ◽  
Design Parameters ◽  
Sound Design ◽  
New Paradigm ◽  
Senior Managers ◽  
Product Service ◽  
Target User

This paper presents a systematic function recommendation process (FRP) to recommend new functions to an existing product and service. Function plays a vital role in mapping user needs to design parameters (DPs) under constraints. It is imperative for manufacturers to continuously equip an existing product/service with exciting new functions. Traditionally, functions are mostly formulated by experienced designers and senior managers based on their subjective experience, knowledge, creativity, and even heuristics. Nevertheless, against the sweeping trend of information explosion, it is increasingly inefficient and unproductive for designers to manually formulate functions. In e-commerce, recommendation systems (RS) are ubiquitously used to recommend new products to users. In this study, the practically viable recommendation approaches are integrated with the theoretically sound design methodologies to serve a new paradigm of recommending new functions to an existing product/service. The aim is to address the problem of how to estimate an unknown rating that a target user would give to a candidate function that is not carried by the target product/service yet. A systematic function → product recommendation process is prescribed, followed by a detailed case study. It is indicated that practically meaningful functional recommendations (FRs) can indeed by generated through the proposed FRP.

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