What Impacts the Quality of Automated Transcriptions?
Things Impacts the Quality of Automated Transcription :Artificial intelligence is at the heart of the technology utilized in automated transcriptions. This is because automatic speech-to-text recognition programs are used in this type of transcribing. Both live and recorded audio files can be transcribed using software that are readily available to anyone with a computer, smartphone, or tablet and an internet connection. Business professionals and lawyers use recording devices or even their smartphones to dictate their messages. And for these professionals, it is usually a cumbersome task to manually transcribe these recordings by themselves. That is when they may employ the use of automated transcription generation software and/or services. However, there are certain factors that tend to impact the quality of automated transcriptions. The quality of an automated transcript is affected by several factors, some are more important than others but depending on your needs, different aspects should be addressed.
This article shall attempt to provide an insight into what are the factors that impact the quality of automated transcription and how.
1. Audio Quality:
If your audio is unclear, the automatic transcription of your audio file will also reflect that. One way to increase the chances of a clearer Audio to text transcript is to have a professional record your message or use a high-quality microphone for recording. Another way you can increase the odds of having an accurate Automated Online transcript is by including timestamps to indicate where pauses and breaks happen during recording. This will make it earlier for any person manually reviewing the transcription to pinpoint the areas where errors were made and to correct them.
2. Different Accents:
Many of the people who use automated transcription Software and services will be using it for a variety of purposes. When working on any projects that might need to get transcribed, it is important to consider how different accents might affect their transcription performance and accuracy.
3. Background Sound:
4. Talking Speed:
One of the best ways to improve transcription accuracy is by adjusting the speaker’s speed.
Slower talk usually makes for a more accurate speech to text transcript as compared to those who talk faster. When one speaks at a slower pace, one is also articulating more clearly, which then results in a much higher quality speech recognition and thus affecting the overall accuracy of the final automated transcription.
It may not be easy for all speakers to talk at a slower rate for multiple reasons, however, slowing one’s speed of taking is one of the fastest and easiest ways to ensure the generation of an accurate automated transcript as the AI technology will be able to decipher the audio recordings faster and more accurately.
5. Data Representation:
Conclusion:
Background noise and numerous speakers talking over each other are two examples of issues that can affect the accuracy of machine-generated transcripts. Machine learning still has a long way to go before we see them evolve to be totally error-free, but there are certain things users can do to increase the accuracy of their automated transcripts.
One way to correct errors within an inaccurate automated transcript is for the user to manually compare the audio recording with the auto-generated text and correct the inconsistencies themselves. This can an arduous and time-consuming task for anyone to undertake. In instances like these, users can choose to employ the use of services like Ant Datagain which not only leverages the best in industry automated speech-to-text technology but also offer manual transcription services, where our expert transcriptionists undertake the task of cleaning up any inaccuracies within the automated transcript. This way, the user is free to focus on more important tasks.
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