Training problems in double talk situations

[LXP-Never]

For echo cancellation systems, two input signals are usually used, namely
Input the near-end microphone signal and the far-end microphone signal, and output the near-end voice signal.

When the model trains the voice in the dual-talk situation, it should input the near-end microphone voice and the far-end voice, and output the near-end voice, but the AEC-Challenge data set only shares ***_doubletalk_lpb.wav (far-end voice) and ** *_doubletalk_mic.wav (Near-end microphone voice), because we need the near-end voice as a label, where is the near-end voice?

[yuvrajkhanna]

@LXP-Never were you able to figure it out? can you please explain?