4 ms·
Yes but we could could look at the amount of of data transmitted in total. Audio compression is well understood, and can infer within an range of usable quality
by johnjac 9y ago
Yes but we could could look at the amount of of data transmitted in total. Audio compression is well understood, and can infer within an range of usable quality, if any excess voice or other data is sent over the network.
- krisroadruck 9y agoAssuming its sending it as audio, and not as transcribed text which is both smaller and also much more compressible.
- Analog24 9y agoASR is a hugely complex process that is handled by ML algorithms on Amazon's servers. The echo simply does not have the hardware to handle this on it's own.
- deleted 9y ago[deleted]
- krisroadruck 9y agoIs it though? Not trying to be argumentative but I remember using dragon naturally speaking to do voice dictation way back in like 98 on a processor that makes today's average smartphone look like a supercomputer. I thought all the ML stuff was for figuring out context and the like, but straight transcription?
- nerpderp83 9y agoModern voice codecs are extremely compact. An annotated text representation of voice will take up equivalent space.
- pixl97 9y agoSo what you're saying is, if a company like Amazon or Google has the excess bandwidth, it is beneficial for them to send way too much data in the first place in order to disguise what data is actually being sent. Now, there is some security basis http://www.cs.unc.edu/~fabian/papers/tissec2010.pdf http://www.cs.unc.edu/~fabian/papers/tissec2010.pdf >Uncovering Spoken Phrases in Encrypted Voice over IP Conversations