Yep, we use deep learning to generate an index of audio features and an approximate search to look through it all. We've done lots of testing on both clear and

Yep, we use deep learning to generate an index of audio features and an approximate search to look through it all. We've done lots of testing on both clear and average/noisy audio. With standard transcription matching you get ~alright results (50% retrieval) on clear audio but really terrible results on average/noisy audio (<20% retrieval). With deepgram you get great results on clear audio (90% retrieval) and still really good results (80% retrieval) on noisy/average quality content. We're always trying to make the indexing and search better/faster. For Hoogley we had to pull some tricks to get the search to be really fast for a lot of users, so it isn't quite as high quality as it can be. Working on it though ;)