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Jesper Jensen 0001
Person information

- affiliation: Aalborg University, Department of Electronic Systems, Denmark
- affiliation: Oticon A/S, Smørum, Denmark
- affiliation: Delft University of Technology, The Netherlands
- not to be confused with: Jesper Rindom Jensen
Other persons with the same name
- Jesper Jensen 0002
— University of Southern Denmark, Department of Design and Communication, Kolding, Denmark
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2020 – today
- 2022
- [j56]Iván López-Espejo
, Zheng-Hua Tan
, John H. L. Hansen
, Jesper Jensen:
Deep Spoken Keyword Spotting: An Overview. IEEE Access 10: 4169-4199 (2022) - [j55]Poul Hoang
, Zheng-Hua Tan
, Jan Mark de Haan, Jesper Jensen
:
The Minimum Overlap-Gap Algorithm for Speech Enhancement. IEEE Access 10: 14698-14716 (2022) - [j54]Mathias Bach Pedersen
, Asger Heidemann Andersen, Søren Holdt Jensen, Zheng-Hua Tan
, Jesper Jensen
:
Training Data-Driven Speech Intelligibility Predictors on Heterogeneous Listening Test Data. IEEE Access 10: 66175-66189 (2022) - [j53]Poul Hoang
, Jan Mark de Haan, Zheng-Hua Tan
, Jesper Jensen
:
Multichannel Speech Enhancement With Own Voice-Based Interfering Speech Suppression for Hearing Assistive Devices. IEEE ACM Trans. Audio Speech Lang. Process. 30: 706-720 (2022) - [c97]Andreas Jonas Fuglsig
, Jan Østergaard, Jesper Jensen, Lars Søndergaard Bertelsen, Peter Mariager, Zheng-Hua Tan:
Joint Far- and Near-End Speech Intelligibility Enhancement Based on the Approximated Speech Intelligibility Index. ICASSP 2022: 7752-7756 - [c96]Matthias Blochberger, Filip Elvander, Randall Ali, Marc Moonen, Toon van Waterschoot, Jan Østergaard, Jesper Jensen:
Distributed Cross-Relation-Based Frequency-Domain Blind System Identification Using Online-Admm. IWAENC 2022: 1-5 - [c95]Vasudha Sathyapriyan
, Michael Syskind Pedersen, Jan Østergaard, Mike Brookes, Patrick A. Naylor
, Jesper Jensen:
A Linear MMSE Filter Using Delayed Remote Microphone Signals for Speech Enhancement in Hearing Aid Applications. IWAENC 2022: 1-5 - [i26]Andreas Jonas Fuglsig
, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, Jan Østergaard:
Minimum Processing Near-end Listening Enhancement. CoRR abs/2210.17154 (2022) - [i25]Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen:
Filterbank Learning for Small-Footprint Keyword Spotting Robust to Noise. CoRR abs/2211.10565 (2022) - 2021
- [j52]Amin Edraki
, Wai-Yip Chan
, Jesper Jensen
, Daniel Fogerty
:
Speech Intelligibility Prediction Using Spectro-Temporal Modulation Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29: 210-225 (2021) - [j51]Daniel Michelsanti
, Zheng-Hua Tan
, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen:
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1368-1396 (2021) - [j50]Iván López-Espejo
, Zheng-Hua Tan
, Jesper Jensen
:
A Novel Loss Function and Training Strategy for Noise-Robust Keyword Spotting. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2254-2266 (2021) - [j49]Adel Zahedi
, Michael Syskind Pedersen, Jan Østergaard
, Thomas Ulrich Christiansen, Lars Bramsløw, Jesper Jensen
:
Minimum Processing Beamforming. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2710-2724 (2021) - [c94]Poul Hoang
, Zheng-Hua Tan, Jan Mark de Haan, Jesper Jensen:
Joint Maximum Likelihood Estimation of Power Spectral Densities and Relative Acoustic Transfer Functions for Acoustic Beamforming. ICASSP 2021: 6119-6123 - [c93]Giovanni Morrone, Daniel Michelsanti
, Zheng-Hua Tan, Jesper Jensen:
Audio-Visual Speech Inpainting with Deep Learning. ICASSP 2021: 6653-6657 - [c92]Amin Edraki, Wai-Yip Chan, Jesper Jensen, Daniel Fogerty:
A Spectro-Temporal Glimpsing Index (STGI) for Speech Intelligibility Prediction. Interspeech 2021: 206-210 - [c91]Morten Østergaard Nielsen, Jan Østergaard, Jesper Jensen, Zheng-Hua Tan:
Compression of DNNs Using Magnitude Pruning and Nonlinear Information Bottleneck Training. MLSP 2021: 1-6 - [c90]Ahmed Alghamdi, Wai-Yip Chan, Daniel Fogerty, Jesper Jensen:
Improved Intelligibility Prediction in the Modulation Domain. WASPAA 2021: 16-20 - [i24]Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen:
On TasNet for Low-Latency Single-Speaker Speech Enhancement. CoRR abs/2103.14882 (2021) - [i23]Andreas Jonas Fuglsig, Jan Østergaard, Jesper Jensen, Lars Søndergaard Bertelsen, Peter Mariager, Zheng-Hua Tan:
Joint Far- and Near-End Speech Intelligibility Enhancement based on the Approximated Speech Intelligibility Index. CoRR abs/2111.07759 (2021) - [i22]Iván López-Espejo, Zheng-Hua Tan, John H. L. Hansen, Jesper Jensen:
Deep Spoken Keyword Spotting: An Overview. CoRR abs/2111.10592 (2021) - 2020
- [j48]Jamal Amini
, Richard Christian Hendriks
, Richard Heusdens
, Meng Guo
, Jesper Jensen
:
Rate-Constrained Noise Reduction in Wireless Acoustic Sensor Networks. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1-12 (2020) - [j47]Morten Kolbæk
, Zheng-Hua Tan
, Søren Holdt Jensen, Jesper Jensen:
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 28: 825-838 (2020) - [j46]Iván López-Espejo
, Zheng-Hua Tan
, Jesper Jensen
:
Improved External Speaker-Robust Keyword Spotting for Hearing Assistive Devices. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1233-1247 (2020) - [j45]Jamal Amini
, Richard Christian Hendriks
, Richard Heusdens
, Meng Guo
, Jesper Jensen
:
Spatially Correct Rate-Constrained Noise Reduction for Binaural Hearing Aids in Wireless Acoustic Sensor Networks. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2731-2742 (2020) - [j44]Juan M. Martín-Doñas
, Jesper Jensen
, Zheng-Hua Tan
, Angel M. Gomez
, Antonio M. Peinado
:
Online Multichannel Speech Enhancement Based on Recursive EM and DNN-Based Speech Presence Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 3080-3094 (2020) - [c89]Iván López-Espejo
, Zheng-Hua Tan, Jesper Jensen:
Exploring Filterbank Learning for Keyword Spotting. EUSIPCO 2020: 331-335 - [c88]Mathias Bach Pedersen, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen:
A Neural Network for Monaural Intrusive Speech Intelligibility Prediction. ICASSP 2020: 336-340 - [c87]Poul Hoang
, Zheng-Hua Tan, Thomas Lunner, Jan Mark de Haan, Jesper Jensen:
Maximum Likelihood Estimation of the Interference-Plus-Noise Cross Power Spectral Density Matrix for Own Voice Retrieval. ICASSP 2020: 6939-6943 - [c86]Adel Zahedi, Michael Syskind Pedersen, Jan Østergaard, Lars Bramsløw, Thomas Ulrich Christiansen, Jesper Jensen:
A Constrained Maximum Likelihood Estimator of Speech and Noise Spectra with Application to Multi-Microphone Noise Reduction. ICASSP 2020: 6944-6948 - [c85]Mathias Bach Pedersen, Morten Kolbæk
, Asger Heidemann Andersen, Søren Holdt Jensen, Jesper Jensen:
End-to-End Speech Intelligibility Prediction Using Time-Domain Fully Convolutional Neural Networks. INTERSPEECH 2020: 1151-1155 - [c84]Daniel Michelsanti
, Olga Slizovskaia
, Gloria Haro
, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen:
Vocoder-Based Speech Synthesis from Silent Videos. INTERSPEECH 2020: 3530-3534 - [i21]Daniel Michelsanti, Olga Slizovskaia, Gloria Haro, Emilia Gómez, Zheng-Hua Tan, Jesper Jensen:
Vocoder-Based Speech Synthesis from Silent Videos. CoRR abs/2004.02541 (2020) - [i20]Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen:
Exploring Filterbank Learning for Keyword Spotting. CoRR abs/2006.00217 (2020) - [i19]Daniel Michelsanti, Zheng-Hua Tan, Shi-Xiong Zhang, Yong Xu, Meng Yu, Dong Yu, Jesper Jensen:
An Overview of Deep-Learning-Based Audio-Visual Speech Enhancement and Separation. CoRR abs/2008.09586 (2020) - [i18]Giovanni Morrone, Daniel Michelsanti, Zheng-Hua Tan, Jesper Jensen:
Audio-Visual Speech Inpainting with Deep Learning. CoRR abs/2010.04556 (2020)
2010 – 2019
- 2019
- [j43]Daniel Michelsanti
, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
Deep-learning-based audio-visual speech enhancement in presence of Lombard effect. Speech Commun. 115: 38-50 (2019) - [j42]Jamal Amini
, Richard C. Hendriks
, Richard Heusdens
, Meng Guo
, Jesper Jensen
:
Asymmetric Coding for Rate-Constrained Noise Reduction in Binaural Hearing Aids. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 154-167 (2019) - [j41]Morten Kolbaek
, Zheng-Hua Tan
, Jesper Jensen:
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. 27(2): 283-295 (2019) - [j40]Andreas I. Koutrouvelis
, Richard C. Hendriks
, Richard Heusdens
, Jesper Jensen
:
A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 321-331 (2019) - [j39]Mohsen Zareian Jahromi
, Adel Zahedi
, Jesper Jensen
, Jan Østergaard
:
Information Loss in the Human Auditory System. IEEE ACM Trans. Audio Speech Lang. Process. 27(3): 472-481 (2019) - [j38]Andreas I. Koutrouvelis
, Richard C. Hendriks
, Richard Heusdens
, Jesper Jensen
:
Robust Joint Estimation of Multimicrophone Signal Model Parameters. IEEE ACM Trans. Audio Speech Lang. Process. 27(7): 1136-1150 (2019) - [c83]Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Estimation of Sensor Array Signal Model Parameters Using Factor Analysis. EUSIPCO 2019: 1-5 - [c82]Poul Hoang
, Zheng-Hua Tan, Jan Mark de Haan, Thomas Lunner, Jesper Jensen:
Robust Bayesian and Maximum a Posteriori Beamforming for Hearing Assistive Devices. GlobalSIP 2019: 1-5 - [c81]Daniel Michelsanti
, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
Effects of Lombard Reflex on the Performance of Deep-learning-based Audio-visual Speech Enhancement Systems. ICASSP 2019: 6615-6619 - [c80]Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Meng Guo
:
A Novel Binaural Beamforming Scheme with Low Complexity Minimizing Binaural-cue Distortions. ICASSP 2019: 8013-8017 - [c79]Daniel Michelsanti
, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
On Training Targets and Objective Functions for Deep-learning-based Audio-visual Speech Enhancement. ICASSP 2019: 8077-8081 - [c78]Amin Edraki, Wai-Yip Chan, Jesper Jensen, Daniel Fogerty:
Improvement and Assessment of Spectro-Temporal Modulation Analysis for Speech Intelligibility Estimation. INTERSPEECH 2019: 1378-1382 - [c77]Iván López-Espejo
, Zheng-Hua Tan, Jesper Jensen:
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers. INTERSPEECH 2019: 3223-3227 - [i17]Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect. CoRR abs/1905.12605 (2019) - [i16]Iván López-Espejo
, Zheng-Hua Tan, Jesper Jensen:
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers. CoRR abs/1906.09417 (2019) - [i15]Morten Kolbæk, Zheng-Hua Tan, Søren Holdt Jensen, Jesper Jensen:
On Loss Functions for Supervised Monaural Time-Domain Speech Enhancement. CoRR abs/1909.01019 (2019) - 2018
- [j37]Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan
, Jesper Jensen:
Refinement and validation of the binaural short time objective intelligibility measure for spatially diverse conditions. Speech Commun. 102: 1-13 (2018) - [j36]Sebastian Braun
, Adam Kuklasinski
, Ofer Schwartz, Oliver Thiergart, Emanuël A. P. Habets, Sharon Gannot
, Simon Doclo
, Jesper Jensen:
Evaluation and Comparison of Late Reverberation Power Spectral Density Estimators. IEEE ACM Trans. Audio Speech Lang. Process. 26(6): 1052-1067 (2018) - [j35]Mojtaba Farmani
, Michael Syskind Pedersen, Zheng-Hua Tan
, Jesper Jensen
:
Bias-Compensated Informed Sound Source Localization Using Relative Transfer Functions. IEEE ACM Trans. Audio Speech Lang. Process. 26(7): 1271-1285 (2018) - [j34]Asger Heidemann Andersen
, Jan Mark de Haan, Zheng-Hua Tan
, Jesper Jensen
:
Nonintrusive Speech Intelligibility Prediction Using Convolutional Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 26(10): 1925-1939 (2018) - [c76]Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Meng Guo
:
Evaluation of Binaural Noise Reduction Methods in Terms of Intelligibility and Perceived Localization. EUSIPCO 2018: 2429-2433 - [c75]Jamal Amini, Richard C. Hendriks, Richard Heusdens, Meng Guo
, Jesper Jensen:
Operational Rate-Constrained Beamforming in Binaural Hearing Aids. EUSIPCO 2018: 2504-2508 - [c74]Morten Kolbæk
, Zheng-Hua Tan, Jesper Jensen:
Monaural Speech Enhancement Using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure. ICASSP 2018: 5059-5063 - [c73]Mojtaba Farmani, Michael Syskind Pedersen, Jesper Jensen:
Sound Source Localization for Hearing Aid Applications Using Wireless Microphones. SAM 2018: 455-459 - [i14]Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen:
Monaural Speech Enhancement using Deep Neural Networks by Maximizing a Short-Time Objective Intelligibility Measure. CoRR abs/1802.00604 (2018) - [i13]Mohsen Zareian Jahromi, Adel Zahedi, Jesper Jensen, Jan Østergaard:
Information Loss in the Human Auditory System. CoRR abs/1805.00698 (2018) - [i12]Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
A Convex Approximation of the Relaxed Binaural Beamforming Optimization Problem. CoRR abs/1805.01692 (2018) - [i11]Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen:
On the Equivalence between Objective Intelligibility and Mean-Squared Error for Deep Neural Network based Speech Enhancement. CoRR abs/1806.08404 (2018) - [i10]Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Robust Joint Estimation of Multi-Microphone Signal Model Parameters. CoRR abs/1810.05677 (2018) - [i9]Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
On Training Targets and Objective Functions for Deep-Learning-Based Audio-Visual Speech Enhancement. CoRR abs/1811.06234 (2018) - [i8]Daniel Michelsanti, Zheng-Hua Tan, Sigurdur Sigurdsson, Jesper Jensen:
Effects of Lombard Reflex on the Performance of Deep-Learning-Based Audio-Visual Speech Enhancement Systems. CoRR abs/1811.06250 (2018) - 2017
- [j33]Andreas I. Koutrouvelis, Richard Christian Hendriks, Richard Heusdens, Jesper Jensen:
Relaxed Binaural LCMV Beamforming. IEEE ACM Trans. Audio Speech Lang. Process. 25(1): 133-148 (2017) - [j32]Morten Kolbæk
, Zheng-Hua Tan, Jesper Jensen:
Speech Intelligibility Potential of General and Specialized Deep Neural Network Based Speech Enhancement Systems. IEEE ACM Trans. Audio Speech Lang. Process. 25(1): 149-163 (2017) - [j31]Mojtaba Farmani
, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen:
Informed Sound Source Localization Using Relative Transfer Functions for Hearing Aid Applications. IEEE ACM Trans. Audio Speech Lang. Process. 25(3): 611-623 (2017) - [j30]Morten Kolbaek
, Dong Yu, Zheng-Hua Tan, Jesper Jensen:
Multitalker Speech Separation With Utterance-Level Permutation Invariant Training of Deep Recurrent Neural Networks. IEEE ACM Trans. Audio Speech Lang. Process. 25(10): 1901-1913 (2017) - [c72]Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Meng Guo
:
Binaural beamforming using pre-determined relative acoustic transfer functions. EUSIPCO 2017: 1-5 - [c71]Andreas I. Koutrouvelis, Jesper Jensen, Meng Guo
, Richard C. Hendriks, Richard Heusdens:
Binaural speech enhancement with spatial cue preservation utilising simultaneous masking. EUSIPCO 2017: 598-602 - [c70]Dong Yu, Morten Kolbæk
, Zheng-Hua Tan, Jesper Jensen:
Permutation invariant training of deep models for speaker-independent multi-talker speech separation. ICASSP 2017: 241-245 - [c69]Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen:
A non-intrusive Short-Time Objective Intelligibility measure. ICASSP 2017: 5085-5089 - [c68]Mohsen Zareian Jahromi, Jan Østergaard, Jesper Jensen:
Humans do not Maximize the Probability of Correct Decision When Recognizing DANTALE Words in Noise. INTERSPEECH 2017: 1163-1167 - [c67]Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen:
On the Use of Band Importance Weighting in the Short-Time Objective Intelligibility Measure. INTERSPEECH 2017: 2963-2967 - [c66]Morten Kolbaek
, Dong Yu, Zheng-Hua Tan, Jesper Jensen:
Joint separation and denoising of noisy multi-talker speech using recurrent neural networks and permutation invariant training. MLSP 2017: 1-6 - [i7]Morten Kolbæk, Dong Yu, Zheng-Hua Tan, Jesper Jensen:
Multi-talker Speech Separation and Tracing with Permutation Invariant Training of Deep Recurrent Neural Networks. CoRR abs/1703.06284 (2017) - [i6]Morten Kolbæk, Dong Yu, Zheng-Hua Tan, Jesper Jensen:
Joint Separation and Denoising of Noisy Multi-talker Speech using Recurrent Neural Networks and Permutation Invariant Training. CoRR abs/1708.09588 (2017) - 2016
- [j29]Adam Kuklasinski
, Simon Doclo
, Søren Holdt Jensen, Jesper Jensen:
Maximum Likelihood PSD Estimation for Speech Enhancement in Reverberation and Noise. IEEE ACM Trans. Audio Speech Lang. Process. 24(9): 1599-1612 (2016) - [j28]Asger Heidemann Andersen
, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen:
Predicting the Intelligibility of Noisy and Nonlinearly Processed Binaural Speech. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 1908-1920 (2016) - [j27]Jesper Jensen
, Cees H. Taal:
An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers. IEEE ACM Trans. Audio Speech Lang. Process. 24(11): 2009-2022 (2016) - [c65]Jamal Amini, Richard C. Hendriks, Richard Heusdens, Meng Guo, Jesper Jensen:
On the Impact of Quantization on Binaural MVDR Beamforming. ITG Symposium on Speech Communication 2016: 1-5 - [c64]Mojtaba Farmani, Richard Heusdens, Michael Syskind Pedersen, Jesper Jensen:
TDOA-based self-calibration of dual-microphone arrays. EUSIPCO 2016: 617-621 - [c63]Mojtaba Farmani, Richard Heusdens, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen:
Concurrent localization of sound sources and dual-microphone sub-arrays using TOFs. FUSION 2016: 1931-1936 - [c62]Mohsen Zareian Jahromi, Jan Østergaard
, Jesper Jensen:
Detection of spoken words in noise: Comparison of human performance to maximum likelihood detection. GlobalSIP 2016: 45-49 - [c61]Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen:
Informed Direction of Arrival estimation using a spherical-head model for Hearing Aid applications. ICASSP 2016: 360-364 - [c60]Andreas I. Koutrouvelis, Richard C. Hendriks, Jesper Jensen, Richard Heusdens:
Improved multi-microphone noise reduction preserving binaural cues. ICASSP 2016: 460-464 - [c59]Adam Kuklasinski
, Simon Doclo
, Jesper Jensen:
Maximum likelihood PSD estimation for speech enhancement in reverberant and noisy conditions. ICASSP 2016: 599-603 - [c58]Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen:
A method for predicting the intelligibility of noisy and non-linearly enhanced binaural speech. ICASSP 2016: 4995-4999 - [c57]Morten Kolbæk
, Zheng-Hua Tan, Jesper Jensen:
Speech enhancement using Long Short-Term Memory based recurrent Neural Networks for noise robust Speaker Verification. SLT 2016: 305-311 - [i5]Dong Yu, Morten Kolbæk, Zheng-Hua Tan, Jesper Jensen:
Permutation Invariant Training of Deep Models for Speaker-Independent Multi-talker Speech Separation. CoRR abs/1607.00325 (2016) - [i4]Andreas I. Koutrouvelis, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Relaxed Binaural LCMV Beamforming. CoRR abs/1609.03213 (2016) - 2015
- [j26]Jesper Jensen, Zheng-Hua Tan:
Minimum Mean-Square Error Estimation of Mel-Frequency Cepstral Features-A Theoretically Consistent Approach. IEEE ACM Trans. Audio Speech Lang. Process. 23(1): 186-197 (2015) - [j25]Richard C. Hendriks, Joao B. Crespo, Jesper Jensen, Cees H. Taal:
Optimal Near-End Speech Intelligibility Improvement Incorporating Additive Noise and Late Reverberation Under an Approximation of the Short-Time SII. IEEE ACM Trans. Audio Speech Lang. Process. 23(5): 851-862 (2015) - [c56]Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen:
Informed TDoA-based direction of arrival estimation for hearing aid applications. GlobalSIP 2015: 953-957 - [c55]Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen:
Maximum likelihood approach to "informed" Sound Source Localization for Hearing Aid applications. ICASSP 2015: 16-20 - [c54]Adam Kuklasinski
, Simon Doclo
, Timo Gerkmann
, Søren Holdt Jensen, Jesper Jensen:
Multi-channel PSD estimators for speech dereverberation - A theoretical and experimental comparison. ICASSP 2015: 91-95 - [c53]Meng Guo
, Jan Mark de Haan, Jesper Jensen:
A simple modification to facilitate robust generalized sidelobe canceller for hearing aids. ICASSP 2015: 300-304 - [c52]Mojtaba Farmani, Michael Syskind Pedersen, Zheng-Hua Tan, Jesper Jensen:
On the influence of microphone array geometry on HRTF-based Sound Source Localization. ICASSP 2015: 439-443 - [c51]Richard C. Hendriks, Joao B. Crespo, Jesper Jensen, Cees H. Taal:
Speech reinforcement in noisy reverberant conditions under an approximation of the short-time SII. ICASSP 2015: 4400-4404 - [c50]Jesper Jensen, Michael Syskind Pedersen:
Analysis of beamformer directed single-channel noise reduction system for hearing aid applications. ICASSP 2015: 5728-5732 - [c49]Asger Heidemann Andersen, Jan Mark de Haan, Zheng-Hua Tan, Jesper Jensen:
A binaural short time objective intelligibility measure for noisy and enhanced speech. INTERSPEECH 2015: 2563-2567 - 2014
- [j24]Jesper Jensen, Cees H. Taal:
Speech Intelligibility Prediction Based on Mutual Information. IEEE ACM Trans. Audio Speech Lang. Process. 22(2): 430-440 (2014) - [c48]Adam Kuklasinski, Simon Doclo, Søren Holdt Jensen, Jesper Jensen:
Maximum likelihood based multi-channel isotropic reverberation reduction for hearing aids. EUSIPCO 2014: 61-65 - 2013
- [b1]Richard C. Hendriks, Timo Gerkmann
, Jesper Jensen:
DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement. Synthesis Lectures on Speech and Audio Processing, Morgan & Claypool Publishers 2013, ISBN 9781627051439 - [j23]Cees H. Taal, Jesper Jensen, Arne Leijon:
On Optimal Linear Filtering of Speech for Near-End Listening Enhancement. IEEE Signal Process. Lett. 20(3): 225-228 (2013) - [c47]Meng Guo
, Søren Holdt Jensen, Jesper Jensen, Steven L. Grant:
Analysis of closed-loop acoustic feedback cancellation systems. ICASSP 2013: 590-594 - [c46]Jesper Jensen, Cees H. Taal:
Prediction of intelligibility of noisy and time-frequency weighted speech based on mutual information between amplitude envelopes. INTERSPEECH 2013: 1174-1178 - [c45]Cees H. Taal, Jesper Jensen:
SII-based speech preprocessing for intelligibility improvement in noise. INTERSPEECH 2013: 3582-3586 - 2012
- [j22]Meng Guo
, Thomas Bo Elmedyb, Søren Holdt Jensen, Jesper Jensen:
On Acoustic Feedback Cancellation Using Probe Noise in Multiple-Microphone and Single-Loudspeaker Systems. IEEE Signal Process. Lett. 19(5): 283-286 (2012) - [j21]Jesper Jensen, Richard C. Hendriks:
Spectral Magnitude Minimum Mean-Square Error Estimation Using Binary and Continuous Gain Functions. IEEE Trans. Speech Audio Process. 20(1): 92-102 (2012) - [j20]