Patent ID: 11907845
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A computer-implemented method (CIM) comprising:
receiving a training data set, with the training data set including at least one lossy audio recording, at least one lossless audio recording and a corresponding label;
training a teacher neural network with at least a first branch and a second branch, wherein training the teacher neural network comprises:
determining a first branch output using the first branch to process the at least one lossless audio recording;
determining a second branch output using the second branch to process the at least one lossy audio recording;
quantifying a first loss value as a difference between the corresponding label and the first branch output;
quantifying a second loss value as a difference between the second branch output and the first branch output; and
modifying weights for the first branch and the second branch based on a sum of the first loss value and the second loss value; and

responsive to receiving a test input data set including a lossy audio recording, generating a set of soft-targets for training a student network based, at least in part, on the second branch and the test input dataset.