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Morten Kolbæk
Morten Kolbæk
Audio ML engineer
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Permutation invariant training of deep models for speaker-independent multi-talker speech separation
D Yu, M Kolbæk, ZH Tan, J Jensen
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
9132017
Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks
M Kolbæk, D Yu, ZH Tan, J Jensen
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 25 …, 2017
8572017
Speech intelligibility potential of general and specialized deep neural network based speech enhancement systems
M Kolbæk, ZH Tan, J Jensen
IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP) 25 (1 …, 2017
2012017
On loss functions for supervised monaural time-domain speech enhancement
M Kolbæk, ZH Tan, SH Jensen, J Jensen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 825-838, 2020
1412020
Monaural speech enhancement using deep neural networks by maximizing a short-time objective intelligibility measure
M Kolbæk, ZH Tan, J Jensen
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
712018
Speech enhancement using long short-term memory based recurrent neural networks for noise robust speaker verification
M Kolbæk, ZH Tan, J Jensen
2016 IEEE spoken language technology workshop (SLT), 305-311, 2016
712016
Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training
M Kolbæk, D Yu, ZH Tan, J Jensen
IEEE 27th International Workshop on Machine Learning for Signal Processing …, 2017
272017
On the Relationship Between Short-Time Objective Intelligibility and Short-Time Spectral-Amplitude Mean-Square Error for Speech Enhancement
M Kolbæk, ZH Tan, J Jensen
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (2), 283-295, 2018
252018
End-to-end speech intelligibility prediction using time-domain fully convolutional neural networks
M Pedersen, M Kolbæk, AH Andersen, SH Jensen, J Jensen
Interspeech 2020, 1151-1155, 2020
162020
Smart-Building Applications: Deep Learning-Based, Real-Time Load Monitoring
H Cimen, EJ Palacios-García, M Kolbæk, N Cetinkaya, JC Vasquez, ...
IEEE Industrial Electronics Magazine 15 (2), 4-15, 2020
152020
Single-microphone speech enhancement and separation using deep learning
M Kolbæk
arXiv preprint arXiv:1808.10620, 2018
92018
On TasNet for low-latency single-speaker speech enhancement
M Kolbæk, ZH Tan, SH Jensen, J Jensen
arXiv preprint arXiv:2103.14882, 2021
12021
Deep Learning-based Real-Time Load Monitoring in Smart Building Applications
H Çimen, EJ Palacios-García, M Kolbæk, N Çetinkaya, JC Vasquez, ...
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Artikelen 1–13