A U-Net trained on ridge-synthesized pseudo-clean mouse USVs, with a ridge-weighted loss, improves SI-SDR, ridge tracking, and classification accuracy on noisy bioacoustic recordings.
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Training Set Synthesis for Bioacoustic Denoising: A Case Study With Mice
A U-Net trained on ridge-synthesized pseudo-clean mouse USVs, with a ridge-weighted loss, improves SI-SDR, ridge tracking, and classification accuracy on noisy bioacoustic recordings.