M. Ravanelli, T. Parcollet, P. Plantinga, A. Rouhe, S. Cornell, L. Lugosch, C. Subakan, N. Dawalatabad, A. Heba, J. Zhong, J. Chou, S. Yeh, S. Fu, C. Liao, E. Rastorgueva, F. Grondin, W. Aris, H. Na, Y. Gao, R. De Mori, Y. Bengio, “SpeechBrain: A General-Purpose Speech Toolkit”, arXiv, June 2021.
L. Lugosch, P. Papreja, M. Ravanelli, A. Heba, T. Parcollet, “Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers”, NeurIPS Datasets and Benchmarks Track, December 2021.
L. Lugosch, D. Nowrouzezahrai, B. H. Meyer, “Surprisal-Triggered Conditional Computation with Neural Networks”, arXiv, June 2020.
L. Lugosch, B. H. Meyer, D. Nowrouzezahrai, M. Ravanelli, “Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models”, ICASSP, Barcelona, Spain, May 2020.
L. Lugosch, M. Ravanelli, P. Ignoto, V. S. Tomar, and Y. Bengio, “Speech Model Pre-training for End-to-End Spoken Language Understanding”, Interspeech, Graz, Austria, September 2019.
L. Lugosch, S. Myer, and V. S. Tomar, “DONUT: CTC-based Query-by-Example Keyword Spotting”, NeurIPS Workshop on Interpretability and Robustness in Audio, Speech, and Language, Montreal, Canada, December 2018.
L. Lugosch and V. S. Tomar, “Tone Recognition Using Lifters and CTC”, Interspeech, Hyderabad, India, pp. 2305-2309, September 2018.
L. Lugosch and W. J. Gross, “Learning from the Syndrome”, Asilomar Conference on Signals, Systems, and Computers, special session on “Machine Learning for Wireless Systems”, Pacific Grove,CA, USA, pp. 594-598, October 2018.
E. Nachmani, E. Marciano, L. Lugosch, W. J. Gross, D. Burshtein, and Y. Be’ery, “Deep Learning Methods for Improved Decoding of Linear Codes”, IEEE Journal of Selected Topics in Signal Processing, special issue on “Machine Learning for Cognition in Radio Communications and Radar”, vol. 12, no. 1, pp. 119-131, February 2018.
L. Lugosch and W. J. Gross, “Neural Offset Min-Sum Decoding”, IEEE International Symposium on Information Theory (ISIT), Aachen, Germany, pp. 1361-1365, June 2017.