20 Nov 2022| Artificial Intelligence
AI vs. Manual Transcription: Future of Transcription & the Clear Winner
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 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.
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.
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.
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.
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.
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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