Discover how AI transcription evolved from unreliable 70% accuracy to outperforming humans.
Only a decade ago, automatic transcription was often viewed with skepticism.
To understand how far we have come, we must first understand how accuracy is measured.
Before the deep learning boom, Automatic Speech Recognition ASR relied heavily on Hidden Markov Models HMMs and.
The first major leap occurred with the introduction of Deep Neural Networks DNNs.
In the last three years, we have entered the era of ultra-high precision.
What exactly allowed us to move from 70% to 95%+ in just ten years?
For a long time, human transcription was the gold standard.
Is perfect transcription possible? While 100% accuracy is difficult due to the inherent ambiguity of human language, we.