Online transformation is not helping with less-skilled jobs.
Currently, businesses need to embrace to remain competitive and relevant. The
convenience of new technologies, including artificial business intelligence,
can be explained when considering today’s transcriptionists’ responsibilities.
Lately, our dependence on AI or business artificial intelligence
has increased manifold. Machines are frequently replacing human transcribers.
But can a machine ever be a match or exceed a human touch?
With automatic transcription software now available, those who
require transcripts must now choose between AI vs. Manual. It can help identify
your exact requirements, limitations, and the volume of work you’re facing with
an abundance of transcription tools available.
The dependence on speech recognition technology is massive, and
the error rates are even more significant, making the transcripts delivered
useless. As per research, while analyzing AI vs. Manual, human transcriptionists
had an error rate of nearly 4% while commercial ASR transcription software’s
error rate was found to be almost 12%.
Machines or softwares are neither regulated and intelligent
enough nor able to pick up the human language’s differences. Accents, tones,
popular terms, and idioms, automated transcription software can never
understand and gauge effectively as a human transcriptionist can do.
Here is why we still require human transcription services for an
error-free transcript, and we’ll explain why human is the winner in this AI vs.
Manual battle.
A better Understanding of Accents and Dialects
A professional transcriptionist is much more experienced than
any superior software or machine. A human transcriptionist can adjust to any
accent or dialect. Even if an accent or dialect is unfamiliar, an audio
transcription provider can explore and come to an accurate conclusion.
In contrast, a machine or business artificial intelligence is
incapable of this. Translation machines are not advanced enough to entirely
grasp different accents or dialects. From mistranslating words to
terminologies, speech-to-text recognition technology can confuse things that
might be beyond our understanding. Hence, the winner in this segment of AI vs.
Manual battle is, of course, humans.
Eliminate Gossiping,
fillers and other background sounds
Speech recognition technology is not up to human transcription
level when it comes to differentiating between a comma, semi-colon, and other
punctuation marks. Speech-to-text technology employs the verbatim
transcription; it catches all spoken words, and even fillers such as
“oh,” “ah,” “uh,” and “umm.”
It also picks up unfinished sentences heading to confusing and
vague transcripts. Here professional transcription services come in handy
against the artificial business
intelligence, promising smart, edited transcripts completed by a human
transcriptionist. The winner of this segment is again humans.
Knowledge of industry-specific jargon
For a complete document transcription, it is suggested to hire a
transcriptionist with in-depth knowledge of a specific topic. Human
transcriptionists are preferred over business artificial intelligence for
pharmaceutical companies or technical-specific content. An AI-powered
transcription software would not be skillful enough to grasp homophones.
For instance, a legal transcriptionist will be habituated with
the legal jargon. Therefore, only experienced business transcription services
will be capable of doing justice and bring in value to technical or
business-related content transcripts. Hence, the winner of AI vs. Manual again
is human.
Fact Check and bring Clarity.
There might be several situations when the speaker in the audio
or video file might say something out of the topic, or the recording may be
unclear. A human transcriber can check for facts, do research, join all the
missing pieces, and make sense of the missing sentences.
With some clarity and knowledge on the topic, an experienced
transcriptionist can accumulate what is being said and come up with an accurate
transcript. Whereas, your automated software cannot verify facts or try to gain
prominence on the topic. In worst cases, the business intelligence software
might discard the audio or video file. The winner for AI vs. Manualbattle again is human.
Recognize Redundant Content and Number of Speakers
While going through a business meeting, recording, interview, or
an audio clip,AI transcription
software cannot identify the number of speakers and end up giving a transcript
that can be complicated to the reader. At the same time, a human
transcriptionist is capable of differentiating one speaker with another.
Human transcribers can play the recording multiple times, pick
the best from the mixed content, and remove unnecessary talks, fillers, and
jargon. Only a human can add meaning to the content, resulting in an error-free
well-edited transcript. Again the winner of the AI vs. Manualbattle will be humans.
Has the Machine
taken over Human Intelligence?
Transcriptionists must consider embracing these business
artificial intelligence technologies and defining their roles as critical in
managing transcription software as it is released and updated. Humans and
technology’s combined effort will provide societies, businesses, and
individuals involved with the peace of mind. AI technology might have taken the
lead in various spheres of our lives, but a human touch is still required.
To conclude this article on AI vs. Manual, we can safely say
that humans are the winner when it comes to transcription services.
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