I haven't really dug into open source speech recognition, so I can't speak much to that side of things, except observing that advancements favor deep learning and cloud-based services over efficient on-device detection (aside from very specific "hey siri"/"okay google"/"hey alexa" recognizers). When it's not a library that can be included, but a service that must be maintained, it'll be that much hard for free and open solutions to get adoption.
For face detection & recognition, some of the greatest advancements are getting acqui-hired and locked away (e.g. Facebook acquiring Face.com) there is still progress being made with tools like OpenCV & Dlib. I just worry progress in the open-source space will lag behind and continue to be difficult to work with, as the delta grows between proprietary capabilities and open-source options.
For face detection & recognition, some of the greatest advancements are getting acqui-hired and locked away (e.g. Facebook acquiring Face.com) there is still progress being made with tools like OpenCV & Dlib. I just worry progress in the open-source space will lag behind and continue to be difficult to work with, as the delta grows between proprietary capabilities and open-source options.