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Token and data plan saver: perform the transcription of audio locally, which seems to have very good results, as it is part of Apple Siri and Google Assistant products, as well as voice input as used to speak text messages.
Ran into all sorts of problems because monocle couldn’t handle any sort of bandwidth. Using the phone across the room was more accurate also. It’s possible if it’s chunked but the lag makes for a slow experience. Maybe frame has more throughput I’ll have to try it out when they land.
The Frame device does have a better Bluetooth bandwidth.
It is possible to choose a trade-off between low/high-resolution and low/high-bitrate audio for a compromise between bandwidth and speed.
There was not yet anyone to experiment with audio compression using StreamLogic, and audio compression for Frame was suggested here: brilliantlabsAR/frame-codebase#134 (comment)
But it seems like the FPGA is already full with JPEG encoding, so a trade-off would be needed to fit FPGA-based compression.
Token and data plan saver: perform the transcription of audio locally, which seems to have very good results, as it is part of Apple Siri and Google Assistant products, as well as voice input as used to speak text messages.
https://discord.com/channels/963222352534048818/984966420603482182/1210382075363065906
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