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Increasing the environment-awareness of rake beamforming for directive acoustic sources., and . IWAENC, page 1-5. IEEE, (2016)Exploring the Joint Use of Rehearsal and Knowledge Distillation in Continual Learning for Spoken Language Understanding., , and . CoRR, (2022)Sequence-Level Knowledge Distillation for Class-Incremental End-to-End Spoken Language Understanding., , , and . CoRR, (2023)Multi-Speaker Tracking From an Audio-Visual Sensing Device., , , , and . IEEE Trans. Multim., 21 (10): 2576-2588 (2019)Multi-channel speaker verification based on total variability modelling., , and . INTERSPEECH, page 2312-2316. ISCA, (2015)Compact Recurrent Neural Networks for Acoustic Event Detection on Low-Energy Low-Complexity Platforms., , , and . IEEE J. Sel. Top. Signal Process., 14 (4): 654-664 (2020)Multi-channel i-vector combination for robust speaker verification in multi-room domestic environments., and . Odyssey, page 252-258. ISCA, (2016)Sub-band spectral variance feature for noise robust ASR., , , and . EUSIPCO, page 2114-2118. IEEE, (2011)A sequential Monte Carlo approach for tracking of overlapping acoustic sources., , and . EUSIPCO, page 2559-2563. IEEE, (2009)A Speech Enhancement Front-End for Intent Classification in Noisy Environments., , , and . EUSIPCO, page 471-475. IEEE, (2021)