Here at AudioFile Solutions, it is not uncommon for us to verify 40 or 50 terms in a typical interview.įor these reasons, the automatic transcription of audio files is clearly not ready for prime time and, in my opinion, should be left to a professional. Lastly, terminology research is key to a great transcript. Voice-to-text software will never be able to do this. If something said later in the transcript does not jibe with what was said earlier, your professional transcriptionist will bring this to your attention. Also, professional transcriptionists will hear discrepancies because their ears have been trained to hear and comprehend the detail. A relatively simple thing like the correct handling of homonyms may never be a realistic goal of voice-to-text programs. Want to see an example? I recently wrote a blog post that links to a radio station’s use of automated transcription software.Īlso, keep in mind that the best transcripts not only includes the correct spelling of words, but also the correct punctuation, formatting and so much more. The noise and/or lack of clarity in these environments will create more “garbage” from your voice-to-text software. Interviews, group discussions or any recording that is in a less than ideal environment will also not transcribe well. Other voices will tend to confuse it and produce what Ryan calls “garbage”. Why? Voice recognition software must first learn your voice. This is a great solution for recording yourself (dictation) and getting a very quick and accurate result however, be aware that this is not a solution for transcribing voice audio files. Ryan Dube from recently wrote a great tutorial on how to use voice-to-text functionality within Express Scribe transcribing software.
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