The only method to utilize Audio Transcription Companies software efficiently for a meeting scenario is to listen to this recording and re-speak whatever you hear - both inquiries and answers. Evidently, this could be quite time consuming, needing to stop and start the recording so you can 'talk' what you are hearing. Basically, you are trying to carry out simultaneous translation - focusing on listening to somebody else's address, while mentioning these words a couple of moments after but without losing what is being said.
Try it using a recorded TV or radio program and you will see how hard a skill that would be to master. Add on the time required at the end to proofread and clean up the Word file and it will become apparent that it would require much longer than the initial interview interval, and no distinct by the time required by a professional transcriber to finish the transcription. Is a valuable and effective use of the time? Magnify that time and effort several times should you tried to handle 'talking' a focus group, particularly when the recording is not as apparent.
Another significant element when contemplating speech recognition software is the inability to estimate that homonyms should be used. But long, complex sentences can conquer it. All this increases a proofreading time in the conclusion. If the pause is not long enough, you will discover those commands entered within the text, which will have to be edited later. For a meeting format, you'll have to signal a change of speaker using a brand new line and initials, along with a tab control. Even when you simply opt to go into a change of speaker onto a brand new line and clean this up later, this adds to the time. Allegedly, among the most recent models (Naturally Speaking) will even punctuate for you - determining where all of the commas and full stops move.
Try it using a recorded TV or radio program and you will see how hard a skill that would be to master. Add on the time required at the end to proofread and clean up the Word file and it will become apparent that it would require much longer than the initial interview interval, and no distinct by the time required by a professional transcriber to finish the transcription. Is a valuable and effective use of the time? Magnify that time and effort several times should you tried to handle 'talking' a focus group, particularly when the recording is not as apparent.
Another significant element when contemplating speech recognition software is the inability to estimate that homonyms should be used. But long, complex sentences can conquer it. All this increases a proofreading time in the conclusion. If the pause is not long enough, you will discover those commands entered within the text, which will have to be edited later. For a meeting format, you'll have to signal a change of speaker using a brand new line and initials, along with a tab control. Even when you simply opt to go into a change of speaker onto a brand new line and clean this up later, this adds to the time. Allegedly, among the most recent models (Naturally Speaking) will even punctuate for you - determining where all of the commas and full stops move.