US 12,032,869 B2
Resolving time-delays using generative models
Jakob Nicolaus Foerster, San Francisco, CA (US); and Ioannis Alexandros Assael, London (GB)
Assigned to DeepMind Technologies Limited, London (GB)
Filed by DeepMind Technologies Limited, London (GB)
Filed on Aug. 12, 2022, as Appl. No. 17/886,951.
Application 17/886,951 is a continuation of application No. 16/428,370, filed on May 31, 2019, granted, now 11,416,207.
Claims priority of application No. 20180100238 (GR), filed on Jun. 1, 2018.
Prior Publication US 2022/0382507 A1, Dec. 1, 2022
Int. Cl. G06F 3/16 (2006.01); G06N 3/04 (2023.01); G06N 3/08 (2023.01)
CPC G06F 3/162 (2013.01) [G06F 3/165 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01)] 19 Claims
OG exemplary drawing
 
1. A method comprising:
initiating a communication session during which a first user device transmits audio data to and receives audio data from a second user device; and
at each of multiple time steps during the communication session:
providing a model input comprising past audio samples received by the first user device up to a current time step to a neural network model,
generating, by using the neural network model and from the model input, a predicted audio sample that is a prediction of a current audio sample to be communicated by the second user at the current time step, and
playing the predicted audio sample generated by using the neural network model before the current audio sample communicated by the second user device at the current time step is ready to be played.