Speech enhancement using Long Short-Term Memory based recurrent Neural Networks for noise robust Speaker Verification. - Morten Kolbæk; Zheng-Hua Tan; Jesper Jensen 001 (SLT, 2016)

Permutation invariant training of deep models for speaker-independent multi-talker speech separation. - Dong Yu 001; Morten Kolbæk; Zheng-Hua Tan; Jesper Jensen 001 (ICASSP, 2017)

Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training. - Morten Kolbaek; Dong Yu 001; Zheng-Hua Tan; Jesper Jensen 001 (MLSP, 2017)

Multi-talker Speech Separation and Tracing with Permutation Invariant Training of Deep Recurrent Neural Networks. - Morten Kolbæk; Dong Yu 001; Zheng-Hua Tan; Jesper Jensen 001 (CoRR, 2017)

Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems. - Morten Kolbæk; Zheng-Hua Tan; Jesper Jensen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks. - Morten Kolbaek; Dong Yu 001; Zheng-Hua Tan; Jesper Jensen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Monaural Speech Enhancement Using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure. - Morten Kolbæk; Zheng-Hua Tan; Jesper Jensen 001 (ICASSP, 2018)

On the Equivalence between Objective Intelligibility and Mean-Squared Error for Deep Neural Network based Speech Enhancement. - Morten Kolbæk; Zheng-Hua Tan; Jesper Jensen 001 (CoRR, 2018)

Single-Microphone Speech Enhancement and Separation Using Deep Learning. - Morten Kolbæk (CoRR, 2018)

On the Relationship Between Short-Time Objective Intelligibility and Short-Time Spectral-Amplitude Mean-Square Error for Speech Enhancement. - Morten Kolbaek; Zheng-Hua Tan; Jesper Jensen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks. - Mathias Bach Pedersen; Morten Kolbæk; Asger Heidemann Andersen; Søren Holdt Jensen; Jesper Jensen 001 (INTERSPEECH, 2020)

On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. - Morten Kolbæk; Zheng-Hua Tan; Søren Holdt Jensen; Jesper Jensen 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

On TasNet for Low-Latency Single-Speaker Speech Enhancement. - Morten Kolbæk; Zheng-Hua Tan; Søren Holdt Jensen; Jesper Jensen 001 (CoRR, 2021)