Comment by unlikelymordant

I enjoyed reading this article. I was doing research on speech recognition in the 2005 to 2010 period, and the article sums up the feeling. Everything was based on HMMs but there was no clear path to getting HMM performance up from where it capped out,or any idea of what models could work better. Deep learning came along and quickly supplanted all the old stuff. It seems like speech recognition has again plateaued but at a much higher accuracy, though its not inconceivable something better than transformers comes along and improves things some more. It seems like the next big leap may be combining the text understanding of GPT with waveform data.