scholarly journals Sounding a Crip Aesthetic: Transforming the Sonic in Samuel Beckett’s Not I

2021 ◽  
Vol 6 (2) ◽  
pp. 67-84
Author(s):  
Megan Johnson

This article analyzes a recent production of Samuel Beckett’s play Not I performed by Jess Thom, a neurodiverse performer most well known by the moniker Touretteshero. Not I is a monologue of twisting and fragmented text revered for the physical, vocal, and emotional challenge it presents to performers and audiences alike. This article takes up the aesthetic, material, and sonic changes made to the play in the Touretteshero production, which serve to reimagine and reconstruct the “sonic profile” of the work. Together, these changes enact a crip aesthetic that illuminates the often-hidden exclusionary structures that permeate theatrical practice. Specifically, this article describes the material changes made to the production in the service of increased accessibility for performer and audience, how Thom’s vocal tics interact with Beckett’s already fragmented text, and how the production’s integration of sign language interpretation extends how we conceptualize sound. Through this analysis, Thom’s performance emerges as a revolutionary contribution to contemporary disability arts that reimagines the value of disability and the possibilities for sound in performance.

2021 ◽  
Vol 2 (3) ◽  
Author(s):  
Ragib Amin Nihal ◽  
Nawara Mahmood Broti ◽  
Shamim Ahmed Deowan ◽  
Sejuti Rahman

Author(s):  
Pias Paul ◽  
Moh. Anwar-Ul-Azim Bhuiya ◽  
Md. Ayat Ullah ◽  
Molla Nazmus Saqib ◽  
Nabeel Mohammed ◽  
...  

Nano Energy ◽  
2020 ◽  
Vol 76 ◽  
pp. 105071 ◽  
Author(s):  
Pukar Maharjan ◽  
Trilochan Bhatta ◽  
Md Salauddin ◽  
M.S. Rasel ◽  
M.T. Rahman ◽  
...  

Author(s):  
Rashmi B Hiremath ◽  
Ramesh M Kagalkar

Sign language is a way of expressing yourself with your body language, where every bit of ones expressions, goals, or sentiments are conveyed by physical practices, for example, outward appearances, body stance, motions, eye movements, touch and the utilization of space. Non-verbal communication exists in both creatures and people, yet this article concentrates on elucidations of human non-verbal or sign language interpretation into Hindi textual expression. The proposed method of implementation utilizes the image processing methods and synthetic intelligence strategies to get the goal of sign video recognition. To carry out the proposed task implementation it uses image processing methods such as frame analysing based tracking, edge detection, wavelet transform, erosion, dilation, blur elimination, noise elimination, on training videos. It also uses elliptical Fourier descriptors called SIFT for shape feature extraction and most important part analysis for feature set optimization and reduction. For result analysis, this paper uses different category videos such as sign of weeks, months, relations etc. Database of extracted outcomes are compared with the video fed to the system as a input of the signer by a trained unclear inference system.


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