SpeechBrain: A General-Purpose Speech Toolkit M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ... arXiv preprint arXiv:2106.04624, 2021 | 594 | 2021 |
Deep learning methods for improved decoding of linear codes E Nachmani, E Marciano, L Lugosch, WJ Gross, D Burshtein, Y Be’ery IEEE Journal of Selected Topics in Signal Processing 12 (1), 119-131, 2018 | 557 | 2018 |
Speech model pre-training for end-to-end spoken language understanding L Lugosch, M Ravanelli, P Ignoto, VS Tomar, Y Bengio Interspeech 2019, 2019 | 347 | 2019 |
Neural offset min-sum decoding L Lugosch, WJ Gross International Symposium on Information Theory, 2017 | 178 | 2017 |
Using speech synthesis to train end-to-end spoken language understanding models L Lugosch, BH Meyer, D Nowrouzezahrai, M Ravanelli ICASSP 2020, 2019 | 43 | 2019 |
Learning from the syndrome L Lugosch, WJ Gross Asilomar Conference on Signals, Systems, and Computers - special session on …, 2018 | 35 | 2018 |
DONUT: CTC-based query-by-example keyword spotting L Lugosch, S Myer, VS Tomar NeurIPS 2018 - Workshop on Interpretability and Robustness in Audio, Speech …, 2018 | 31 | 2018 |
Pseudo-Labeling for Massively Multilingual Speech Recognition L Lugosch, T Likhomanenko, G Synnaeve, R Collobert ICASSP 2022, 2021 | 27 | 2021 |
Learning algorithms for error correction L Lugosch McGill University, 2018 | 13 | 2018 |
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers L Lugosch, P Papreja, M Ravanelli, A Heba, T Parcollet NeurIPS 2021 - Datasets and Benchmarks Track, 2021 | 12 | 2021 |
A data-driven framework for medium-term electric vehicle charging demand forecasting A Orzechowski, L Lugosch, H Shu, R Yang, W Li, BH Meyer Energy and AI 14, 100267, 2023 | 11 | 2023 |
Tone recognition using lifters and CTC L Lugosch, VS Tomar Interspeech 2018, 2018 | 8 | 2018 |
Surprisal-Triggered Conditional Computation with Neural Networks L Lugosch, D Nowrouzezahrai, BH Meyer arXiv preprint arXiv:2006.01659, 2020 | 5 | 2020 |
DT-DS: CAN intrusion detection with decision tree ensembles J Mehta, G Richard, L Lugosch, D Yu, BH Meyer ACM Transactions on Cyber-Physical Systems 7 (1), 1-27, 2023 | 3 | 2023 |
Unsupervised ASR via Cross-Lingual Pseudo-Labeling T Likhomanenko, L Lugosch, R Collobert arXiv preprint arXiv:2305.13330, 2023 | | 2023 |
Deep neural networks for voice control L Lugosch McGill University, 2023 | | 2023 |