Loren Lugosch
Loren Lugosch
McGill University & Mila
Verified email at mila.quebec - Homepage
Title
Cited by
Cited by
Year
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
3072018
Speech model pre-training for end-to-end spoken language understanding
L Lugosch, M Ravanelli, P Ignoto, VS Tomar, Y Bengio
Interspeech 2019, 2019
1112019
Neural offset min-sum decoding
L Lugosch, WJ Gross
International Symposium on Information Theory, 2017
882017
Learning from the syndrome
L Lugosch, WJ Gross
Asilomar Conference on Signals, Systems, and Computers - special session on …, 2018
132018
Using speech synthesis to train end-to-end spoken language understanding models
L Lugosch, BH Meyer, D Nowrouzezahrai, M Ravanelli
ICASSP 2020, 2019
122019
SpeechBrain
M Ravanelli, T Parcollet, A Rouhe, P Plantinga, E Rastorgueva, ...
112021
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
82018
SpeechBrain: A General-Purpose Speech Toolkit
M Ravanelli, T Parcollet, P Plantinga, A Rouhe, S Cornell, L Lugosch, ...
arXiv preprint arXiv:2106.04624, 2021
72021
Tone recognition using lifters and CTC
L Lugosch, VS Tomar
Interspeech 2018, 2018
52018
Learning algorithms for error correction
L Lugosch
McGill University, 2018
32018
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
L Lugosch, P Papreja, M Ravanelli, A Heba, T Parcollet
arXiv preprint arXiv:2104.01604, 2021
2021
System and method for tone recognition in spoken languages
L LUGOSCH, V Tomar
US Patent App. 16/958,378, 2021
2021
Surprisal-Triggered Conditional Computation with Neural Networks
L Lugosch, D Nowrouzezahrai, BH Meyer
arXiv preprint arXiv:2006.01659, 2020
2020
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Articles 1–13