May Voice-recognition Systems Make Transcription Services Obsolete? - 0 views

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  #1 Mollerup Carlsson on 06 Sep 13

   

  Many companies should convert recorded voice to-text and have been looking for ways to do it quickly and inexpensively. Transcribing medical dictation is just a prime example.
  
  Some years ago, when voice recognition software became commercially available, most of the people expected the solution had finally arrived. Businesses looked forward to minimizing transcription costs and everybody else who hated writing looked forward to removing their keyboard.
  
  Unfortunately, the truth turned-out to be rather different. Voice-to-text technology is a huge big let-down up to now.
  
  The fact is, voice-recognition computer software is easily thrown off-track by many different factors. If you dont speak clearly and distinctly, it might not give the best result to you. In the event that you try using it in a noisy place, it will fail more frequently than not. It might not understand you, if you've an accent. Even if you have a bad cold, youll realize that the application can provide wrong results!
  
  Quite simply, voice recognition pc software works fairly well under perfect, laboratory conditions, although not in a normal home or business environment!
  
  Health-care professionals who attempted to use voice-recognition systems to get rid of transcription companies discovered that they should train the program to operate well. That takes a long-time and lots of work. Most wound up continuing to outsource their medical transcription work.
  
  Obviously, there are various other forms of situations where transcription is needed. These include sessions of interviews, teleconferences, workshops and courses that need to be converted to text.
  
  In natural conversation, people often use a lot of aahs and umms in addition to unnecessary phrases as if you know. Recent voice recognition technology is not really capable of filtering out such irrelevant sounds or words.
  
  In-addition, several sentences are also strung together by people using ands. The application cant split up such speech into meaningful phrases. This engaging FB Ads Cracked Review site has collected unusual cautions for how to flirt with this view. Nor can it split up speech into meaningful sentence units the-way a transcriptionist can.
  
  And if the recording is filled up with background sound, or if more than one individual is talking at the same time, the software will not function reliably and consistently.
  
  Probably sometime in the foreseeable future someone will develop voice recognition technology that can handle most of the above problems. Till then firms will have to use transcription services, particularly for work like medical transcription, where accuracy is important.

   

  <div class="cArrow"> </div><div class="cContentInner">Many companies should convert recorded voice to-text and have been looking for ways to do it quickly and inexpensively. Transcribing medical dictation is just a prime example. <br /> <br /> Some years ago, when voice recognition software became commercially available, most of the people expected the solution had finally arrived. Businesses looked forward to minimizing transcription costs and everybody else who hated writing looked forward to removing their keyboard. <br /> <br /> Unfortunately, the truth turned-out to be rather different. Voice-to-text technology is a huge big let-down up to now. <br /> <br /> The fact is, voice-recognition computer software is easily thrown off-track by many different factors. If you dont speak clearly and distinctly, it might not give the best result to you. In the event that you try using it in a noisy place, it will fail more frequently than not. It might not understand you, if you've an accent. Even if you have a bad cold, youll realize that the application can provide wrong results! <br /> <br /> Quite simply, voice recognition pc software works fairly well under perfect, laboratory conditions, although not in a normal home or business environment! <br /> <br /> Health-care professionals who attempted to use voice-recognition systems to get rid of transcription companies discovered that they should train the program to operate well. That takes a long-time and lots of work. Most wound up continuing to outsource their medical transcription work. <br /> <br /> Obviously, there are various other forms of situations where transcription is needed. These include sessions of interviews, teleconferences, workshops and courses that need to be converted to text. <br /> <br /> In natural conversation, people often use a lot of aahs and umms in addition to unnecessary phrases as if you know. Recent voice recognition technology is not really capable of filtering out such irrelevant sounds or words. <br /> <br /> In-addition, several sentences are also strung together by people using ands. The application cant split up such speech into meaningful phrases. This engaging <a rel="nofollow" href="http://www.warriorforum.com/warrior-forum-classified-ads/839697-uncut-fb-ads-cracked-review-viral-domination-bonus-strategies.html">FB Ads Cracked Review</a> site has collected unusual cautions for how to flirt with this view. Nor can it split up speech into meaningful sentence units the-way a transcriptionist can. <br /> <br /> And if the recording is filled up with background sound, or if more than one individual is talking at the same time, the software will not function reliably and consistently. <br /> <br /> Probably sometime in the foreseeable future someone will develop voice recognition technology that can handle most of the above problems. Till then firms will have to use transcription services, particularly for work like medical transcription, where accuracy is important.</div>

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