![]() In other words, a physician’s specific speech–such as nuances, accents and most importantly, intent–needs to be accurately picked up on by the VRS. Voice recognition software (VRS) for medical transcription, for instance, has to make a number of arbitrary interpretations that artificial intelligence (AI) may not yet be fully capable to tackle perfectly.įor example, in order for medical transcription to be effective, it must be 100% accurate. The Trouble With Voice Recognition Software in Medical Transcription It’s not too difficult to imagine how many things can go wrong with this sound-to-written-text paradigm. Voice recognition software used for medical transcription, though, depends on the software being able to recognize sound patterns, which are then paired with the right phonetic structure (or interpretation thereof) in established databases. That is, because what the voice recognition software produces has to make sense and be true to what was actually said. ![]() “Speech recognition” can be defined as “translating words you speak into decipherable text.” The word “decipherable” is of key importance here. ![]() But how is it used for medical transcription? And is it accurate enough for your practice? No matter which term you use to describe it, it’s all the same thing. Voice transcription software, voice to text software, voice activated software or more commonly–voice recognition software. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |