scholarly journals De tolk als respeaker: een kwestie van training

Author(s):  
Bart Van der Veer

As a result of political decisions, all Dutch-spoken television programmes that are broadcast by the Flemish Broadcasting Company (VRT) should be provided with subtitles for the deaf and hard of hearing by the year 2010. In order to meet these high expectations, the VRT is constantly improving and changing its subtitling techniques, as are other broadcasting companies worldwide. One of the main areas of change concerns the technique of live subtitling, i. e. real time subtitling of live television programmes. This type of subtitling has definitely benefited from the use of modern speech recognition software. Live subtitling, therefore, requires not only technical skills but also excellent ‘respeaking’ skills that are reminiscent of the skills of conference interpreters. The central question in the first part of this pa- per is to what extent ‘re-speaking’ is related to simultaneous (and other forms of) interpreting: is a good interpreter automatically a good re- speaker? In the second part, I adopt a didactic point of view in order to investigate the teaching aspects of real time subtitling skills: the conclusion is that it is best included in an education programme for conference interpreters

Author(s):  
Shigeki Miyoshi ◽  
Hayato Kuroki ◽  
Sumihiro Kawano ◽  
Mayumi Shirasawa ◽  
Yasushi Ishihara ◽  
...  

1992 ◽  
Vol 23 (2) ◽  
pp. 121-136 ◽  
Author(s):  
Fons Nelen ◽  
Annemarieke Mooijman ◽  
Per Jacobsen

A control simulation model, called LOCUS, is used to investigate the effects of spatially distributed rain and the possibilities to benefit from this phenomenon by means of real time control. The study is undertaken for a catchment in Copenhagen, where rainfall is measured with a network of 8 rain gauges. Simulation of a single rain event, which is assumed to be homogeneous, i.e. using one rain gauge for the whole catchment, leads to large over- and underestimates of the systems output variables. Therefore, when analyzing a single event the highest possible degree of rainfall information may be desired. Time-series simulations are performed for both an uncontrolled and a controlled system. It is shown that from a statistical point of view, rainfall distribution is NOT significant concerning the probability of occurrence of an overflow. The main contributing factor to the potential of real time control, concerning minimizing overflows, is to be found in the system itself, i.e. the distribution of available storage and discharge capacity. When other operational objectives are involved, e.g., to minimize peak flows to the treatment plant, rainfall distribution may be an important factor.


Author(s):  
Wuon-Gean Ho

This film makes three observations on the filming of tactility and movement in order to adequately convey tacit knowledge in embodied ways. The author, Wuon-Gean Ho, studied the craft of traditional woodblock printmaking in Japan, and demonstrates planning, carving and printing of a woodblock print. The first observation is that an alteration of the time-base of the film and subsequent manipulation of the soundscape can provide embodied affects. Secondly the film refers to the effect of mirror-touch-synaesthesia with close macro shots and intimate angles. Thirdly, the use of a birds’ eye point of view, with the hands of the artist in the same anatomical position as the viewers’ hands, enables the gaze of the viewer to mimic that of the maker, conveying haptic knowledge through poetic means.The voiceover to the film is made with deliberate reference to ASMR videos that engender a sense of intimacy. The non-objectivity of the recording process is commented upon. The conclusion is that constructed scenarios might convey more than real-time truthful indexical footage.


2014 ◽  
Vol 980 ◽  
pp. 165-171
Author(s):  
Yun Suen Pai ◽  
Hwa Jen Yap ◽  
Ramesh Singh

Speech recognition is a technology that attempts to involve audio cues during interaction with machines, instead of being limited to just visual and touch interfaces. However, a keyboard and mouse input is an archaic method of interaction, adding on to the fact that voice control is seemingly more natural. This study aims to implement speech recognition as a form of machine control to perform simple commands in a virtual simulation process. The simulation system is an in-house developed augmented reality robotic work cell which includes a robot arm, a conveyer belt, a computer numerical control (CNC) machine, and a pellet. Issuing commands are performed via the Windows Speech Recognition software built from the Microsoft Speech Application Programming Interface (SAPI). This software is advantageous because it can be fairly accurate once trained properly, is easily modifiable by anyone regardless of the operator’s programming knowledge, and is free. A macros tool is used to support the additional features of the recognition software which includes directly programmable Extensible Markup Language (XML) codes.


2013 ◽  
pp. 1005-1011
Author(s):  
Andrew Kitchenham ◽  
Doug Bowes

In this chapter, the authors discuss the promise of speech or voice recognition software and provide practical suggestions for the teacher or any stakeholder working with a disabled child. The authors begin the chapter with a brief overview of the legislation mandating the accommodation of special needs students in the classroom and discuss the implications of assistive technology. The authors then move on to an examination of the promise of the software. The authors end the chapter with practical ideas for implementation should the caregiver believe that voice recognition software will assist the disabled child in the learning process.


Author(s):  
Josephine M.S. ◽  
Lakshmanan L. ◽  
Resmi R. Nair ◽  
Visu P. ◽  
Ganesan R. ◽  
...  

Purpose The purpose fo this paper is to Monitor and sense the sysmptoms of COVID-19 as a preliminary measure using electronic wearable devices. This variability is sensed by electrocardiograms observed from a multi-parameter monitor and electronic wearable. This field of interest has evolved into a wide area of investigation with today’s advancement in technology of internet of things for immediate sensing and processing information about profound pain. A window span is estimated and reports of profound pain data are used for monitoring heart rate variability (HRV). A median heart rate is considered for comparisons with a diverse range of variable information obtained from sensors and monitors. Observations from healthy patients are introduced to identify how root mean square of difference between inter beat intervals, standard deviation of inter-beat intervals and mean heart rate value are normalized in HRV analysis. Design/methodology/approach The function of a human heart relates back to the autonomic nervous system, which organizes and maintains a healthy maneuver of inter connected organs. HRV has to be determined for analyzing and reporting the status of health, fitness, readiness and possibilities for recovery, and thus, a metric for deeming the presence of COVID-19. Identifying the variations in heart rate, monitoring and assessing profound pain levels are potential lives saving measures in medical industries. Findings Experiments are proposed to be done in electrical and thermal point of view and this composition will deliver profound pain levels ranging from 0 to 10. Real time detection of pain levels will assist the care takers to facilitate people in an aging population for a painless lifestyle. Originality/value The presented research has documented the stages of COVID-19, symptoms and a mechanism to monitor the progress of the disease through better parameters. Risk factors of the disease are carefully analyzed, compared with test results, and thus, concluded that considering the HRV can study better in the presence of ignorance and negligence. The same mechanism can be implemented along with a global positioning system (GPS) system to track the movement of patients during isolation periods. Despite the stringent control measurements for locking down all industries, the rate of affected people is still on the rise. To counter this, people have to be educated about the deadly effects of COVID-19 and foolproof systems should be in place to control the transmission from affected people to new people. Medications to suppress temperatures, will not be sufficient to alter the heart rate variations, and thus, the proposed mechanism implemented the same. The proposed study can be extended to be associated with Government mobile apps for regular and a consortium of single tracking. Measures can be taken to distribute the low-cost proposal to people for real time tracking and regular updates about high and medium risk patients.


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