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Voice
Recognition - Will It Throw Transcription Companies
On The Scrap Heap?
If I had
a hundred pounds for every time someone told me that transcription services
would soon be obsolete and that everyone would be using voice recognition
software, I wouldn't need to run a business! However, I'm firmly convinced
that voice recognition software in its current form is not a substitute
for transcription services. But then I would say that, wouldn't I?!
Below are some of the reasons why I remain unconvinced that it will
replace me quite yet.
Voice recognition
software currently comes in two forms - Dragon Naturally Speaking and
IBM's ViaVoice. As well as being used to give a computer commands (e.g.
to save a file), it can also be used to convert speech straight into
a Word document. However, the main disadvantage is that voice recognition
software is a 'dog for one master' only. It's possible to use the
software successfully for dictation but it can't cope with even one-to-one
interviews and would probably go into meltdown if you tried it with
group meetings or focus groups. The software needs to be trained to
become used to one voice. Asking it to recognise and accurately transcribe
the different voice of your interviewee as well as your own questions,
or the multiple voices of a group, is simply not possible at the moment.
Even with one voice dictation, the software still needs to be corrected
and trained to recognise new and unfamiliar words or technical terms
or names.
The only
way to use voice recognition software effectively for an interview situation
would be to listen to the recording and re-speak everything you hear-
both questions and responses. Obviously, this would be very time consuming,
having to stop and start the recording so that you can 'speak' what
you're hearing. Essentially, you're attempting to perform simultaneous
translation - concentrating on listening to someone else's speech, while
saying those words a few seconds later but without losing what's being
said next. Try it with a recorded TV or radio programme and you'll see
how difficult a skill that is to master. Add on the time taken at the
end to proofread and tidy up the Word document and it becomes clear
that it would take far longer than the original interview length, and
no different from the time take by a professional transcriber to complete
the transcription. Is that a valuable and productive use of your
time? Magnify that time and effort many times if you then tried
to tackle 'speaking' a focus group, especially if the recording is less
than clear.
Another
major factor when considering speech recognition software is its inability
to judge which homonyms should be used. The latest versions are
apparently now capable of recognising the more common ones in simple
sentences, such as deciding whether it's there or their. However, long,
complicated sentences can defeat it. All this adds to your proofreading
time at the end. You also need to consider how the software will tackle
commands for punctuation or formatting certain words in bold,
for example. Most programmes require you to leave a pause between the
command and the next chunk of 'text'. If the pause isn't long enough,
you'll find those commands entered as part of the text itself, which
will need to be edited out later. For an interview format, you will
need to indicate a change of speaker with a new line and initials, and
a tab command. Even if you just decide to enter a change of speaker
on a new line and tidy it up afterwards, this all adds to the time taken.
Allegedly, one of the latest versions (Naturally Speaking) will also
punctuate for you - deciding where all the commas and full stops go.
Be prepared to correct this later - its idea of punctuation is not mine!
'Naturally
Speaking', as it were, I'm biased! But I'm convinced that voice recognition
software is a useful tool fit for a specific purpose, but that purpose
is not yet transcription of all recordings in all circumstances.
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