A per-head learned linear bias on relative positions lets Transformer speech enhancement models trained on 1 or 2 second clips keep most of their quality on 5 to 20 second inputs.
Speech Enhancement Using a Minimum Mean-Square Error Short-Time Spectral Amplitude Estimator,
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Exploring Length Generalization For Transformer-based Speech Enhancement
A per-head learned linear bias on relative positions lets Transformer speech enhancement models trained on 1 or 2 second clips keep most of their quality on 5 to 20 second inputs.