Updated: Sep 25, 2019
As technology continues to expand and grow in every aspect of our lives, businesses and individuals increasingly rely on automated solutions to solve planning and organizational problems.
One of the fastest ways to know if a text has been created by an automated system is to observe for the errors in the homophones. Homophones are the words with the same pronunciation but different meanings, origins, or spelling. Although automated speech-to-text systems are improving, they continue to lag behind human-aided transcriptions.
Here are some of the reasons why a Human-Aided Transcriptions provide better quality work than automated software.
Human-aided systems can deal with the background noise
One of the benefits of human-aided systems over automatic software is the ability to filter background noise. Of course, providing the best audio file is always the ideal practice, but human-aided system can filter through the background noise and can provide a more accurate transcript.
Human-aided systems can understand dialects and accents
Dialects and accents are other obstacles to automatic systems. When there are different dialects or accents that the program cannot recognize, the speech recognition program will encounter problems. Human-aided systems can easily recognize various languages and accents. A skilled transcriptionist is advantageous regardless of the speaker's accent.
Human-aided systems are able to determine any number of speakers
Automated transcription systems cannot identify individual speakers and hence cannot provide accurate transcripts when there is more than one speaker. This can be very challenging for anyone needing to transcribe sound with more than three speakers, such as a work meeting. Automated systems will not only have a hard time selecting multiple speakers, much less tracking these speakers accurately by sound.
Human-aided systems are more accurate
Faced with these drawbacks and many other problems with automated systems, many services have adopted human-aided systems and hybrid models as they are more accurate.
This process requires the user to modify and re-read the text after it has been implemented in text-to-speech program. This model is designed to reduce waiting time. With speech-to-text software, the results are usually less accurate because the transcripts created by the automatic systems can vary considerably from the actual sound.
Automatic transcription from text-to-speech services have a purpose. They can provide fast transcription services, however, they fulfill very specific requirements. But if you need accurate and professional-quality services, it is always a smart idea to hire human transcriptionists.