AI-based evaluation of the audio files
To be able to evaluate the large amount of audio files, these are transcribed with the help of a speech-to-text algorithm. Thanks to the automatic transcription, one gets complete text statements in the shortest time. A manual transcription in scientifically acceptable times would not be possible in this instance.
As the speech-to-text algorithm has not yet mastered all facets of human language (something that we know all too well from our assistants on our smartphones), the statements are checked and corrected when necessary. Through machine learning, the transcription will become better every time and human correction will become less and less necessary.
When needed, the texts are translated and coded after the transcription. Even here, IWD employs an AI-algorithm. This is trained and monitored as a virtual coder. Therefore, we ensure an ever more constant coding, independent of any environmental influences and human signs of fatigue.
The coded statements can subsequently be used with a higher significance, for example, for descriptive, multivariate and inferential statistics as well as for driver analysis.