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Voice Recognition Software Versus Manual Transcription Services
Voice Recognition Software Versus Manual Transcription Services
Manual transcription services are not about to fade into obscurity. While technological advancements always provide easier ways of performing tasks; a number of professionals and businesses still prefer the service offered by humans as opposed to automated devices.
Chicago,
IL,
United States of America
(prbd.net)
08/09/2011
There is always the debate raised about the effectiveness of new age technology compared to the traditional manual ways of performing tasks. Like they say its better to settle for the devil you know than to opt for the angel you don't know. Does this rule apply to voice recognition software for audio transcription?
The voice recognition software has gained popularity for small scale transcription requirements. The software can pick up speech patterns and document the verbalized words to text. The software has the capability of performing basic tasks which the user instructs it to perform using verbalization pick up patterns. Some of the tasks which the software can execute include; accessing menus, locating files and recording spoken word in text format.
Businesses and professionals commence their business transactions with the verbalization of contracts. A number of organizations now record business meetings and telephone calls for future reference. While these recordings can serve the intended purpose, which is to archive information; text documents are still the most preferred documentation method. Businesses seek transcription services in order to convert their audio recordings to text documents.
With the introduction of voice recognition software in the market; a number of businesses picked up the device to carry out their transcription needs. While the software offers convenience and can record audio to text as required; there are still several limitations when it comes to using voice recognition software for audio transcriptions.
The software is 'trained' to pick up a limited selection of verbalized words and can therefore not provide comprehensive conversions. There are a lot of instances when the device 'misunderstands' words or misrepresents the verbalized information. This is especially the case with large amounts of audio to text conversion. The ability of the device to perform conversions is limited to small scale needs.
The software requires functional upgrading in order to carry out audio to text conversions with the precision and accuracy required. There exists high end voice recognition software with the ability to convert audio to text with great accuracy. However faults are still reflected when the advanced software is used for large amounts of transcriptions.
In summary; manual transcription services are not about to fade into obscurity. While technological advancements always provide easier ways of performing tasks; a number of professionals and businesses still prefer the service offered by humans as opposed to automated devices. The future of transcription services may lie in voice automated conversions but at the moment manual transcriptions maintain the lead.