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 | 994 | 2017 |
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 | 917 | 2017 |
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 | 207 | 2017 |
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 | 153 | 2020 |
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 | 75 | 2016 |
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 | 69 | 2018 |
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 | 28 | 2017 |
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 | 26 | 2018 |
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 | 18 | 2020 |
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 | 15 | 2020 |
Single-microphone speech enhancement and separation using deep learning M Kolbæk arXiv preprint arXiv:1808.10620, 2018 | 9 | 2018 |
On TasNet for low-latency single-speaker speech enhancement M Kolbæk, ZH Tan, SH Jensen, J Jensen arXiv preprint arXiv:2103.14882, 2021 | 2 | 2021 |
Spectral speech enhancement using deep neural networks AP Jacobsen, M Kolbaek Master thesis, 2015 | | 2015 |
Deep Learning-based Real-Time Load Monitoring in Smart Building Applications H Çimen, EJ Palacios-García, M Kolbæk, N Çetinkaya, JC Vasquez, ... | | |