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