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How To Get The Best Results From AI Transcription

The use of transcripts has expanded beyond records of speeches sent to media outlets and legal court proceedings. They are now also widely used as records for lectures, virtual conference calls, and meetings hence there was a need for a quicker and more efficient transcription process as the demand for it is getting bigger and bigger. This was a gap filled in by Artificial Intelligence (AI) technologies.

In this day and age, AI is now used to make the transcription process quicker and more efficient. These process used to take days for a single human to transcribe before will only take a few hours today. In some cases, it can even take a matter of a few minutes to transcribe.

It is important to know the factors affecting the quality of the transcription and how to make the best out of it If you are planning to use AI transcription any time soon.

Factors that Affect the Results from AI Transcription

AI transcription is still far from being perfect, so it is vital to know the different factors affecting the quality of the transcript you get from AI-based transcription.

Background Noise

Firstly, background noise can significantly affect the accuracy of the AI-based transcription service. This is because AI is trained with algorithms to recognize and interpret particular sound frequency. When these sounds are disrupted by background noise, there is a high chance of being misinterpreted by the AI.

This factor is also something that significantly affects even seasoned transcriptionists. Although they have years of training, the human ears can misinterpret sound when the background noise distorts it.

The Speaker’s Pronunciation

The speaker’s pronunciation of words can also affect AI transcription accuracy for the same reason as the background noise. If the speaker in your audio file is a non-native English speaker, the AI transcription might have a harder time transcribing your file accurately than when the speaker is fluent in English.

Aside from the pronunciation, if the speaker talks in a shouted or overly dramatic way, it will also affect the transcription accuracy. The reason for this is also the same as what is mentioned above.

Number of Speakers in a Recording

Another huge factor that affects the accuracy of AI transcription is the number of speakers in a recording. This makes it challenging for the algorithm to detect when there are cross-talking within speakers; hence it can create a lower accuracy in the final outcome. The algorithm cannot properly translate the speakers’ overlapping speech.

Use of Jargons

If the file you want to transcribe contains jargon from specific fields, it may not be transcribed correctly by the AI. Most AI-base transcription engines are trained with general voice data which is only capable of transcribing common usage of the English language.

Tips on How to Get the Best Result From AI Transcription

Now that you know the different factors that affect the AI transcriptions, here are some tips that will help you get the best possible result.

Ensure the Audio Quality is Good

As you already know, audio distortion, audible background noise and music affect the AI-based transcription quality. Thus, it is essential to ensure that the file you put into the AI transcription service is of the best quality.

There are several ways to optimize the audio quality for AI transcription. One way is to pay close attention to room acoustic when recording. Remember, big and empty rooms can create echoes and lessen the sound quality. Meanwhile, a room with loud background chatter or noise can also do the same thing.

It is also good to use high-quality equipment and ensure that they are strategically located in a room. The equipment must amplify the speaker’s voice allowing it to be louder and more precise.

As for the strategic equipment location, it will enable the efficient capture of the speaker’s voice. Some of the best spots for equipment, such as a microphone, is to put it close to the speaker’s mouth.

Using an audio sound editor and saving the file in M4A format is also advisable. These can help improve the audio quality of the file. If you cannot save it in M4A format, WAV or MP3 are also good choices.

Have Fewer Speakers at a Time

Overlapping conversation makes it difficult for AI to transcribe in text properly, which is why it is a good idea to remind your speakers to avoid speaking over each other. Having a slight pause before the next speaker will be advisable. It ensures the clarity of the speaker’s voice and the accuracy of the transcription.

If you are transcribing court proceedings, speeches, or lectures, overlapping conversations is not really a big deal because it does not happen often. However, this tip tends to be more appropriate when you are transcribing debates or podcasts.

Custmisation of AI software

If there is terminology needed for a specific industry, you can always have a customised AI transcription service for your usage. This could be done with a set of data with specific jargons, the engine will be trained using that. On top of this, this service could be kept onsite if you have a server or on the cloud. This service will be solely for your use.

In Short,

The information above sums up what is AI transcription and how you can make the best out of it. Indeed, AI transcription is very helpful, especially when you need to transcribe files quickly. However, it is not perfect. It may require you to put in some extra effort to ensure the best results.

If you are looking for an AI transcription service that is easy to use, accurate and quick, then you should check out Senseofwonder.ai. Their trusty AI allows you to transcribe your audio files in 3 quick steps.

Senseofwonder.ai also has the latest Automated Speech Recognition software for reliable transcription and customization features, making them even more perfect for all your needs. Visit their website today, and get the right AI transcription solution for your needs!

Who uses AI-based Transcription?

With the advancements in technology, industries have witnessed a massive change in the last decade. The increase in the development of Artificial Intelligence (AI) is part of the driving force of the change. AI is suitable for application and it gets better where data feed repeatedly into the system. Transcription is one of the applications. In today’s world, we can see that most of the transcription are done in the form of audio or video recordings to word format.

AI transcription is already doing wonders in today’s world assisting human with their workload and modernizing the industrial sectors. It has already set its ground in a lot of industries like the medical, legal and media field but the growth is expected to maximize the experience from food production chains to the medical procedures. Subsequently, AI-based transcriptions will become more effective and commonly used.

Time efficiency

We are used to hear that ‘slow and steady wins the race’ however, the phrase has taken a drastic shift in today’s world. It is now ‘fast and smart wins the race’. Across the globe, as much as cost factor is important, time is equally important now. The automated transcription process that is the automatic speech recognition (ASR) engine, has not only lowered your budget but also saves time. This helps decrease the processing time to generate a transcription from days to minutes.

Availability 24/7

AI transcription is readily accessible, regardless of where you are, what time of the day. All you need are a computer and network. You can feasibly get your hands on it whenever you want to and get the work done quicker. Whereas, human transcription or manual transcription is not the case, there can be various obstacles that can make the transcription difficult to access. Time difference, the transcriptionist is not there, you are will be highly dependable on another person. Moreover, manual transcription takes a longer turnaround time than AI transcription.


With the help of the customization options by the AI transcriptions, it is easier to achieve the desired need. The transcriptions could be customized to be compliance intelligence, staff monitoring with the option of different languages, editing options, and the speech recognition models. Specific industries could train their AI transcription engine to recognize jargons specific for their sector.

AI transcription making waves

Although the accuracy rate depends highly on the audio file that is to be transcribed. The better the quality of the audio file the higher chances of achieving accurate results. Industries and companies from across the world are sleeplessly training their natural language processor to recognize and transcribe speech. The accuracy rate of these transcriptions is said to be 95%. Given the fact that most of the AI-powered transcription tools are easily accessible and is affordable, it is making waves in changing how the workflow in many sectors.

The Legal Sector

AI-based transcriptions have made evolution in the legal sector. Now, you can leave the administration tasks behind and work over what you always dreamt of – justice. AI-based transcription has allowed the legal workers to focus on more important things. The monotonous and exhausting workload that used to involve hundreds of lawyers in a backroom, reviewing documents after trials can now be done easily and smoothly by AI transcription services. At times, transcription can be done instantly in the courtrooms too. Hence, AI transcription has helped free the workload of lawyers so they can focus on the analytical and strategical aspects. It is widely practiced in the legal sector because of its confidentiality, speed and the reduction in cost.

The medical sector

AI transcription has entered the healthcare sector successfully too. It assists the healthcare personnel or medical staff majorly in dictating their notes into the healthcare systems. It also helps them in keeping and updating the patients’ electronic medical records also known as the EMR. It further helps the healthcare sector lessen the administrative burden of their regular heavy workload.

The media sector

Today’s media industry has expanded beyond imagination. The traditional journalism which was over taking by videos are extraordinary. With videos and live streaming facilities are booming globally and with that, automated transcription technology. The media sector is all about engagement, accessibility, and reaching out to your targeted audience. With AI-based  transcription, major benefits that the media sector enjoys include:

  • Ensuring access to the audience, AI transcription allows your data to get access to the audience more conveniently.
  • AI transcription has provided the media with a better engagement experience.
  • As the engagement improves, the outreach to the audience you want to target maximizes as well.
  • As the media industry aims to keep the audience connected throughout, with AI transcription it has become more feasible.

The Academic sector

Back to school, when lecture is ongoing and you will be busy taking down notes. Gone with those days, with the smart phone recording function, you are recording your one-hour lecture in a breeze. This is one of the things that cannot be done before the pre smart phone era. However, having to transcribe the recording and you are able to have it as notes for revision. This is the power of AI transcription in the academic world. Being students, this will mean focusing on your lectures and time saved from copying. Not limited to just physically present in a lecture hall, pre-recorded webinars or conference could be transcribe using AI to have a live streaming effect and make lectures or events easily understandable for the audience. On the other hand, this is not restricted to just students. Researchers can focus on their research rather than the paperwork on keeping tabs on recording.

The Financial Sector

AI application is not new to the financial sector, with the booming of Fintech, AI transcription is another application that is creeping into this sector. Being tight on their policy and data protection, AI transcription makes even more sense in this industry to minimize the human touch. Aside the usual advantages of cost and time efficiency, customized API onsite with multiple security layer will make a positive impact in this sector. Not only it ensure much better data protection but also the customization will mean the use of this customized AI transcription will be only for this specific customer. Bank and financial institution will be able to service each customers better with security.

In short

AI transcription, with an upload of audio or video file to the engine and downloading the transcribe into word format, this plays a major role in the current world today. Anyone who do recording and will like to have it into words could use AI transcription regardless of industry. It has made the workflow smooth and the workload less with lesser costs. It not only saves time and get work done faster, it lessens the tedious work and focus on the more important. It is also cost and time efficient move as it definitely increase the workflow productivity.  

How is AI Transcription Different from Traditional Transcription?

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.

·         Customization

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.

·         Confidentiality

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%.

Moving forward

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! 

1st Milestone

AI Communis’s milestone to 500Startups Programme

AI Communis is new and still a baby. We are ready to garner ourselves with whatever we can to make ourselves grow and bloom.

Starting in 2020, being part of SOWG, we are trying to gain our footing in the growing, everchanging Tech landscape. As a 100% Japan ownership, there are many things that are still “how to” and “where to” in Singapore market. This is the first milestone for us to be part of this X-Hub Tokyo global programme.

With the focus on Tech and ecosystem for start-ups, Japan External Trade Organization (JETRO) has been in partnership with various countries to bring the best of Japan out in the world. X-HUB TOKYO global startup accelerator is one of their many platforms to connect Tokyo with the world’s innovation ecosystem to level up the startups and open a new era for the future, bring both entrepreneurs from the world into Japan and Japan out.

Their tagline

~Tokyo to the World, the World to Tokyo~

speaks for itself. This programme entails a series of workshops and sessions to open opportunities for mentoring, networking, marketing strategies and possibilities to pitch with major companies and venture capitalist (VC). For more information please see the below link.


This programme started in 2017 and there are many success stories across 6 courses, namely (1) North America West Coast Course (2) North America East Coast Course (3) Shenzhen Course (4) Singapore Course (5) Germany Course (6) Web Summit Course. Each time hundreds of startups signed up and only 10 are selected to take part. This stringent selection has made the ideas of the startups a step closer to reality.

AI Communis are definitely thrilled to be one of the selected participants to be part of X-Hub Tokyo Outbound Programme for Singapore course.

From Oct 2020, AI communis will be in full swing to immerse ourselves into the sprint and intensive programme organised by 500Startup, https://500.co/about.

They have backed more than 2,400 companies in more than 75 countries, with an experienced, expert team to guide us through the programme. We are confident that this will be a breakthrough for AI Communis.

For the next two months, it will be a lot of learning and exchanges where we believe it will bring us to the next level. Looking forward to the transformation.