The technologic advances of voice automation made this world to think that the transcription service industry will go the way of obsolescence, but this has not held true. The voice recognition software has loads of disadvantages and it is fallible due to many factors.
Speaking clearly and distinctly is precedent but if you are in a noisy place, speaking in such a manner will not help. Having an accent may throw off the accuracy of the software and being under-the-weather will put you in worse circumstances.
Voice recognition is not accustomed to the particulars of human speech and does not filter out extraneous speech like, "umms" and "aahs" which a human transcriber will do. Voice recognition software also cannot decipher where some sentences begin and end and cannot separate sentences into paragraphs. Conference settings where more than one person may speak at any given time, is another source for inaccurate recording for the devices as well.
Most of those who have tried voice recognition have reverted back to using human transcription services. The filtering process is too meticulous and the content too critical to allow for as many errors as the voice recognition software may commit.
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Voice recognition and transcription services
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