Does Unsupervised Learning Create Superior Speech Recognition?

The article discusses the use of unsupervised learning for speech recognition and whether it yields more accurate results than other methods. It explains that AI training methods for speech recognition include supervised, self-supervised (unsupervised), and semi-supervised learning. Supervised learning involves labeled training data sets, while unsupervised learning does not have paired audio and text files. Semi-supervised is a combination of both. The article argues that to create speech models that can survive in the wild, a combination of supervised and unsupervised learning techniques is necessary. Deepgram has invested heavily in labeled training data and continues to improve its speech training methodologies for better model performance.