Morten Kolbæk

14 papers A 1Misc 2Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
2021 J jnl
On TasNet for Low-Latency Single-Speaker Speech Enhancement.
CoRR
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen
2020 A conf
End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks.
INTERSPEECH
Mathias Bach Pedersen, Morten Kolbæk, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen
2020 J jnl
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process.
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen
2019 J jnl
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement.
CoRR
Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen
2018 Misc conf
Monaural Speech Enhancement Using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure.
ICASSP
Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen
2018 J jnl
Monaural Speech Enhancement using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure.
CoRR
Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen
2018 J jnl
On the Equivalence between Objective Intelligibility and Mean-Squared Error for Deep Neural Network based Speech Enhancement.
CoRR
Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen
2018 J jnl
Single-Microphone Speech Enhancement and Separation Using Deep Learning.
CoRR
Morten Kolbæk
2017 J jnl
Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training.
CoRR
Morten Kolbæk, Dong Yu, Zheng-Hua Tan, Jesper Jensen
2017 J jnl
Multi-talker Speech Separation and Tracing with Permutation Invariant Training of Deep Recurrent Neural Networks.
CoRR
Morten Kolbæk, Dong Yu, Zheng-Hua Tan, Jesper Jensen
2017 Misc conf
Permutation invariant training of deep models for speaker-independent multi-talker speech separation.
ICASSP
Dong Yu, Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen
2017 J jnl
Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems.
IEEE ACM Trans. Audio Speech Lang. Process.
Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen
2016 J jnl
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation.
CoRR
Dong Yu, Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen
2016 — conf
Speech enhancement using Long Short-Term Memory based recurrent Neural Networks for noise robust Speaker Verification.
SLT
Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen