What Impacts the Quality of Automated Transcriptions?
admin
06/07/2022
1. Audio Quality:
2. Different Accents:
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 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.