Audio Transcription Using Voice Recognition Has Very Few Takers

When voice recognition technology first came intotheir dictations. The complex medical terminology
being, many audio transcribers thought that theirthat doctors use in the dictations was not
careers will soon come to an end, but now thatrecognized accurately by the software, and parts
the technology has been in existence for morein the medical transcripts were either blank or
than a decade, commercial use of the technologymiss-spell, requiring re-edit.
is yet to reach a level which can pose a seriousThe voice recognition technology is based on the
threat to the existence of audio transcriptionprocess of first converting sound into a digital
companies or transcribers.format which is compatible with the computer,
Production departments of media companies thatthe sampling rate of the application determines
use audio transcriptions for different processesthe quality of the conversion from analog to
are of the view that voice recognition does notdigital, and during this process the noise level has
meet the quality standards that they need in ato be filtered, so that the microphone does not
transcript. The television companies that usepick-up any other noise, excepting the speakers,
transcripts for adding captions into the programsthe complexity of the technology needs to be
had high expectations from voice recognitionunderstood for it to be commercially viable. But
applications, but after they were tested, thefor this to happen, the multimedia professionals,
transcripts had glaring errors in them, and for thedoctors, attorneys that need audio transcription
captions to synchronize perfectly with the audio inneed training and guidance on using voice
the programs the accuracy that they wererecognition technology.
looking for was close to 98%.As it appears now, these professionals are
The health care providers felt that voicesatisfied using human resources for audio
recognition applications will help them cut downtranscriptions, and audio transcription companies
costs on medical transcriptions, and many doctorsare here to stay, until voice recognition
bought the expensive software, only to dumpapplications are favorably acceptable for use.
them later after briefly experimenting them for