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Multi-channel Attention for End-to-End Speech Recognition.

S. Braun, D. Neil, J. Anumula, E. Ceolini, and S. Liu. INTERSPEECH, page 17-21. ISCA, (2018)

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Enea Tosadori University of Stuttgart

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Sensor fusion using EMG and vision for hand gesture classification in mobile applications.E. Ceolini, G. Taverni, L. Khacef, M. Payvand, and E. Donati. BioCAS, page 1-4. IEEE, (2019)Speaker Activity Detection and Minimum Variance Beamforming for Source Separation.E. Ceolini, J. Anumula, A. Huber, I. Kiselev, and S. Liu. INTERSPEECH, page 836-840. ISCA, (2018)Live Demostration: Sensor fusion using EMG and vision for hand gesture classification in mobile applications.E. Ceolini, G. Taverni, L. Khacef, M. Payvand, and E. Donati. BioCAS, page 1. IEEE, (2019)Multi-channel Attention for End-to-End Speech Recognition.S. Braun, D. Neil, J. Anumula, E. Ceolini, and S. Liu. INTERSPEECH, page 17-21. ISCA, (2018)WHISPER: Wirelessly Synchronized Distributed Audio Sensor Platform.I. Kiselev, E. Ceolini, D. Wong, A. de Cheveigné, and S. Liu. LCN Workshops, page 35-43. IEEE Computer Society, (2017)Sensor Transformation Attention Networks.S. Braun, D. Neil, E. Ceolini, J. Anumula, and S. Liu. CoRR, (2017)Event-driven Pipeline for Low-latency Low-compute Keyword Spotting and Speaker Verification System.E. Ceolini, J. Anumula, S. Braun, and S. Liu. ICASSP, page 7953-7957. IEEE, (2019)Event-Driven Sensing for Efficient Perception: Vision and audition algorithms.S. Liu, B. Rueckauer, E. Ceolini, A. Huber, and T. Delbrück. IEEE Signal Process. Mag., 36 (6): 29-37 (2019)DeltaRNN: A Power-efficient Recurrent Neural Network Accelerator.C. Gao, D. Neil, E. Ceolini, S. Liu, and T. Delbrück. FPGA, page 21-30. ACM, (2018)A unified view of gradient-based attribution methods for Deep Neural Networks.M. Ancona, E. Ceolini, A. Öztireli, and M. Gross. CoRR, (2017)

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Multi-channel Attention for End-to-End Speech Recognition.

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Enea Tosadori University of Stuttgart

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Disambiguation of "Ceolini, Enea"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Multi-channel Attention for End-to-End Speech Recognition.

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Enea Tosadori University of Stuttgart

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Multi-channel Attention for End-to-End Speech Recognition.