New,Developments,the,Transcrip communication New Developments in the Transcriptions Industry
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Speech Recognition Technology is one of the developmentsthat simply won't stop speaking to the imagination. Complete interactionbetween objects and users has been a feature in many science-fiction movies,and its possible applications are truly exciting. Whether it is giving commandsto any electronic object or dictating long speeches that get transcribedinstantly, it has the potential to make life a lot easier.While the technology has been around for over 2 decades, itsdevelopment has reached a plateau since the late 90s. Google Search by Voiceand Siri has certainly made the technology more popular, but its accuracylevels have not changed much over the past few years. Research indicates thatspeech recognition accuracy levels skyrocketed from 48% to 81% in 1995 and1999-2001 respectively, to stagnate since. Of course an accuracy level of 81% is still incredible andwill suffice in many applications, but what happens when you start replacingtranscription services with voice recognition technology? Unfortunately the accuracy levels are simply not up to parwith current audio transcriptions. While speech recognition can go a great wayin dictating instructions and emails, the process of providing academic,conference call, or even market research transcriptions is simply out of itsleague. Traditional transcription providers put transcripts through a series ofproofing and quality control processes, to ensure a level of accuracy that speechrecognition can't match. When it comes to captioning and typing outtranscripts, it appears speech recognition is not the stand-alone solution thatcan go without re-editing from a trained transcriptionist.Voice recognition technology does have its proponents in thetranscription industry and many consumers have already adopted it. One oftencited benefit for transcription users is the potential cost reduction.Unfortunately many people underestimate the implementation costs and fail tooversee that many of the transcribed documents still need extensive re-editingand proofing to ensure the quality of the transcript. It is true that in theoryyou may reduce labor costs but in practice you will find that you're nowhere nearyour target productivity level and cost savings. Speech recognition presents some great potentialapplications and has certainly drawn enough attention in the past few years. Itdoes look however like its accuracy development has hit a wall., Speech recognition is currently far frombeing sophisticated enough to completely replace human operators, and unlessthis changes, the technology is not a viable substitute for transcriptionservices.
New,Developments,the,Transcrip