A unified benchmark shows DNN-supported Kalman filters for acoustic echo cancellation converge faster and cancel more echo than the classical FDKF, with per-bin methods best preserving near-end speech.
Y2-Net FCRN for Acoustic Echo and Noise Suppression,
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Neural Kalman Filters for Acoustic Echo Cancellation
A unified benchmark shows DNN-supported Kalman filters for acoustic echo cancellation converge faster and cancel more echo than the classical FDKF, with per-bin methods best preserving near-end speech.