Google recently introduced something like that for Audio in Duo: https://ai.googleblog.com/2020/04/improving-audio-quality-in-duo-with.html https://ai.googleblo

Google recently introduced something like that for Audio in Duo: https://ai.googleblog.com/2020/04/improving-audio-quality-in-duo-with.html https://ai.googleblog.com/2020/04/improving-audio-quality-in... > WaveNetEQ is a generative model, based on DeepMind’s WaveRNN technology, that is trained using a large corpus of speech data to realistically continue short speech segments enabling it to fully synthesize the raw waveform of missing speech. I don't think you need to train for each person specifically, you can just train a model for all heads, then maybe transmit a few high quality pics when the call starts, and interpolate from that afterward.