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.
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.
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!