Speech to Text in 2017 with Signl.fm

Summary

The main theme is the current state of speech-to-text technology and its application in generating transcripts for media like podcasts. Key subjects include the startup Signal FM, the evolution from manual transcription to automated solutions like Dragon NaturallySpeaking, and the challenges of accuracy with different speakers and audio quality. The practical takeaway is that while automated speech-to-text is becoming increasingly feasible and accurate for most users, achieving perfect transcription still depends heavily on good audio production.