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Lasse Borgholt
Lasse Borgholt
Aalborg University, Pioneer Centre for AI, and Corti
Verified email at corti.ai
Title
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Cited by
Year
Self-Supervised Speech Representation Learning: A Review
A Mohamed, H Lee, L Borgholt, JD Havtorn, J Edin, C Igel, K Kirchhoff, ...
IEEE Journal of Selected Topics in Signal Processing, pp. 1-34, 2022
2152022
Automated Medical Coding on MIMIC-III and MIMIC-IV: A Critical Review and Replicability Study
J Edin, A Junge, JD Havtorn, L Borgholt, M Maistro, T Ruotsalo, L Maaløe
The 46th International ACM SIGIR Conference on Research and Development in …, 2023
122023
A Brief Overview of Unsupervised Neural Speech Representation Learning
L Borgholt, JD Havtorn, J Edin, L Maaløe, C Igel
The 2nd Workshop on Self-supervised Learning for Audio and Speech Processing …, 2022
92022
Do End-to-End Speech Recognition Models Care About Context?
L Borgholt, JD Havtorn, Ž Agić, A Søgaard, L Maaløe, C Igel
INTERSPEECH, pp. 4352-4356, 2021
82021
The Rating Game: Sentiment Rating Reproducibility From Text
L Borgholt, P Simonsen, D Hovy
Proceedings of the 2015 Conference on Empirical Methods in Natural Language …, 2015
72015
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition
J Kremer, L Borgholt, L Maaløe
NeurIPS Workshop, Interpretability and Robustness in Audio, Speech, and Language, 2018
62018
Do we still need automatic speech recognition for spoken language understanding?
L Borgholt, JD Havtorn, M Abdou, J Edin, L Maaløe, A Søgaard, C Igel
arXiv preprint arXiv:2111.14842, 2021
52021
On Scaling Contrastive Representations for Low-Resource Speech Recognition
L Borgholt, TMS Tax, JD Havtorn, L Maaløe, C Igel
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
52021
Benchmarking Generative Latent Variable Models for Speech
JD Havtorn, L Borgholt, S Hauberg, J Frellsen, L Maaløe
ICLR Workshop, Deep Generative Models for Highly Structured Data, 2022
22022
MultiQT: Multimodal Learning for Real-Time Question Tracking in Speech
JD Havtorn, J Latko, J Edin, L Borgholt, L Maaløe, L Belgrano, ...
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
22020
A Retrospective Study on Machine Learning-Assisted Stroke Recognition for Medical Helpline Calls
J Wenstrup, JD Havtorn, L Borgholt, SN Blomberg, L Maaloe, MR Sayre, ...
npj Digital Medicine 6 (1), 235, 2023
12023
Exploiting Nontrivial Connectivity for Automatic Speech Recognition
M Paraschiv, L Borgholt, TMS Tax, M Singh, L Maaløe
NeurIPS workshop on machine learning for audio, 2017
2017
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Articles 1–12