In this current era, due to the rapid increase in the development of technology, consumers expect to be able to access anything from anywhere at any time. This on-demand mentality and increasing audio and video content, has increased the demand for voice technology more than ever.
Whether medical practitioners, lawyers, video editors, or journalists, all need to convert video or audio to text and it will undoubtedly change the workflow of these professionals. Thanks to Artificial Intelligence (AI), the potential uses of video and audio transcription are expanding, rapidly.
While AI can do most of the heavy lifting in the field of transcription, the technology is still under development. Therefore, traditional transcription techniques have an important role to play.
So, what makes AI transcription different from the traditional transcription? Let’s find out!
What is Transcription?
Transcription is a simple process of transcribing or converting speech into readable text. Transcriptions are usually created from speeches, news footage, interviews, webinars, films, online videos, and podcasts.
If you have ever read the lines of a politician or words of an actor, then you definitely have read a transcript. Commonly, transcripts include the words you usually hear with additional details, such as music, pauses in dialogues, or background noises. With text transcription, viewers can fully understand audio in a text format.
How is AI Transcription Different?
The most traditional transcription method is to listen to video or audio file and type words in a word document manually. Traditional means, the recordings are listened by human ears, understood and decoded by the human brain, and transcribed by the hands of a human.
Although this traditional method highly accurate, the fact remains that it is time consuming and may require highly specialised skills.
Compared to traditional transcription, AI transcription is incredibly fast. AI transcription uses high-quality datasets, or examples to train voice and speech recognition software, repeatedly feeding datasets enable the software to be more experienced and build a better-fit algorithm.
With a powerful algorithm, AI-based transcription can process more data with higher accuracy. Unlike manual conversion of speech to text that requires source recording to be split up into multiple files for faster processing, AI transcription can convert audio or video into speech from a single source file in less time and money.
The cutting-edge automated transcription technology that depends on automatic-speech-recognition (ASR), not only offers unmatched accuracy and speed with reduced operating costs but also gives stenographers and transcriptionists the gift of time. It lowers the turnaround time required to complete transcripts from weeks to days, from days to mere hours.
As a result of time optimization, professionals can take on more projects and focus their attention on new opportunities. At Sense of Wonder, we use advanced ASR engine to provide optimal speech-to-text transcription.
Why Should You Use AI Transcription?
· Improved Efficiency
AI transcription provides opportunities to eliminate factors that may hinder the audio quality while identifying complex terms to provide more accurate transcripts. For human transcriptionists, these factors are difficult to address. AI-based transcriptions are also trained to get smarter over time, meaning every time it makes an error, it will get better and provide increased results next time.
· High Transcription Accuracy
AI transcription uses high-quality datasets, or examples to train its speech-to-text engines. With this, AI transcription can transcribe and recognize difficult words correctly. The highly accurate output, combined with human supervision, will provide the highest level of accuracy for the correct portrayal of social events, conferences, or business meetings.
· Saving Time and Business Money
When it comes to transcriptions, customers demand accurate results with fast turnaround times. Whether the transcript is for a conference, an interview, or a meeting, the need to have an accurate record of what has been said in a limited time can result in a significant amount of work that is often given to a professional transcriptionist.
However, AI transcription can dramatically decrease the workload of transcribing the recordings. The heavy lifting of transcription can be done using AI-based software, which can be double-checked and changed by a transcriber. This saved time can be translated into big business savings, and organizations can consistently maintain the same results in notably reduced costs.
An intelligent transcription solution, powered by AI offers more customization opportunities to potential clients. A robust and powerful platform will be compatible with a wide range of audio and video files that can be accessed anytime, irrespective of the time difference or traditional business hours, while simultaneously providing an intuitive user interface.
Another added advantage of AI transcription is security. Since machines carry out the transcription, humans have limitation to or no access to video or audio files. Also, an intelligent transcription system ensures that access to audio or video files is restricted to those with adequate permissions. What makes AI transcription even more interesting is that it applies algorithms to monitor user activity to guarantee confidentiality further.
The Downside of AI Transcription
No matter how intelligent a machine is, it cannot still comprehend the subtleties of human speech. A slight touch of background noise and the addition of scientific or technical terms can limit the potential of AI transcription.
More importantly, AI transcription struggles to detect multiple speakers and can mix up the names of places and people. Manual transcription, on the other hand, can be used as the final process of polishing and cleaning up the content. Despite the advancement in technology, conventional transcription that requires human touch, is still the only way of achieving top quality content with an accuracy of 99%.
Although speech recognition and AI transcription technologies have improved considerably, it still cannot match human accuracy.
If you’re looking for high-quality, accurate texts, then traditional transcription would be the best option. However, using AI transcription can significantly increase the speed of audio-to-text conversion.
ASR software and AI transcription will continue to change the way we operate in homes, workplaces, and classrooms. With technology continues to improve, we can expect an error-free automated content in the further.
So, now that you know how AI transcription different from traditional transcription, let Sense of Wonder help you with AI-based solutions to improve the productivity of your work!