Patent ID: 11908483
Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
Field: Computer technology (Electrical engineering)
Classification: CPC G  H | IPC G  H

Claim 15:
16. The computing device according to claim 9, wherein
the artificial neural network is implemented as an end-to-end neural network, and
the audio separation method further comprises a training phase of training the end-to-end neural network, the training phase comprising:
establishing, based on original audio data si(t)of a plurality of different sound sources, multi-channel multi-sound source mixed audio data for training, i=1, 2, . . . , I, I being a total quantity of the different sound sources; and
training the end-to-end neural network by using the multi-channel multi-sound source mixed audio data based on a permutation invariance training criterion, audio data ŝθ(i)(t) estimated by the end-to-end neural network and the original audio data si(t) being used to calculate scores of paired combinations of estimated audio-original audio for the different sound sources, θ(i) representing a paired combination, a negative value of a score of a paired combination with the highest score being used as a loss function of the end-to-end neural network.