Morten Kolbæk

Orcid: 0000-0002-2561-4960

Affiliations:
  • Aalborg University, Denmark


According to our database1, Morten Kolbæk authored at least 13 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

On csauthors.net:

Bibliography

2021
On TasNet for Low-Latency Single-Speaker Speech Enhancement.
CoRR, 2021

2020
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks.
Proceedings of the Interspeech 2020, 2020

2019
On the Relationship Between Short-Time Objective Intelligibility and Short-Time Spectral-Amplitude Mean-Square Error for Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2019

2018
Single-Microphone Speech Enhancement and Separation Using Deep Learning.
CoRR, 2018

On the Equivalence between Objective Intelligibility and Mean-Squared Error for Deep Neural Network based Speech Enhancement.
CoRR, 2018

Monaural Speech Enhancement Using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems.
IEEE ACM Trans. Audio Speech Lang. Process., 2017

Multi-talker Speech Separation and Tracing with Permutation Invariant Training of Deep Recurrent Neural Networks.
CoRR, 2017

Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Permutation invariant training of deep models for speaker-independent multi-talker speech separation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Speech enhancement using Long Short-Term Memory based recurrent Neural Networks for noise robust Speaker Verification.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016


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