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ORCIDJesper 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
![[0000-0002-5007-4097]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5007-4097")
— University of Southern Denmark, Department of Design and Communication, Kolding, Denmark
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2020 – today
- 2024
[j59]Mathias Bach Pedersen, Søren Holdt Jensen, Zheng-Hua Tan, Jesper Jensen:
Data-Driven Non-Intrusive Speech Intelligibility Prediction Using Speech Presence Probability. IEEE ACM Trans. Audio Speech Lang. Process. 32: 55-67 (2024)- 2023
- [j58]Iván López-Espejo, Amin Edraki, Wai-Yip Chan, Zheng-Hua Tan, Jesper Jensen:
On the deficiency of intelligibility metrics as proxies for subjective intelligibility. Speech Commun. 150: 9-22 (2023) - [j57]Andreas Jonas Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, Jan Østergaard:
Minimum Processing Near-End Listening Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2233-2245 (2023) - [c105]Vikas Tokala, Eric Grinstein, Mike Brookes, Simon Doclo, Jesper Jensen, Patrick A. Naylor:
Binaural Speech Enhancement Using Complex Convolutional Recurrent Networks. ACSSC 2023: 1130-1134 - [c104]Matthias Blochberger, Jan Østergaard, Randall Ali, Marc Moonen, Filip Elvander, Jesper Jensen, Toon van Waterschoot:
Adaptive Coding in Wireless Acoustic Sensor Networks for Distributed Blind System Identification. ACSSC 2023: 1420-1424 - [c103]Mohammad Bokaei, Jesper Jensen, Simon Doclo, Jan Østergaard:
Deep Joint Source-Channel Analog Coding for Low-Latency Speech Transmission Over Gaussian Channels. EUSIPCO 2023: 426-430 - [c102]Matthias Blochberger, Filip Elvander, Randall Ali, Jan Østergaard, Jesper Jensen, Marc Moonen, Toon van Waterschoot:
Distributed Adaptive Norm Estimation for Blind System Identification in Wireless Sensor Networks. ICASSP 2023: 1-5 - [c101]Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan, Jesper Jensen, John H. L. Hansen:
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting. ICASSP 2023: 1-5 - [c100]Daniel Michelsanti, Zheng-Hua Tan, Sergi Rotger-Griful, Jesper Jensen:
A Vision-Assisted Hearing Aid System Based on Deep Learning. ICASSP Workshops 2023: 1-4 - [c99]Vasudha Sathyapriyan, Michael Syskind Pedersen, Mike Brookes, Jan Østergaard, Patrick A. Naylor, Jesper Jensen:
Speech enhancement using binary estimator selection applied to hearing aids with a remote microphone. ICFSP 2023: 38-42 - [c98]Ahmed Alghamdi, Leonard Moen, Wai-Yip Chan, Daniel Fogerty, Jesper Jensen:
Correlation Based Glimpse Proportion Index. WASPAA 2023: 1-5 - [i31]Juan F. Montesinos, Daniel Michelsanti, Gloria Haro, Zheng-Hua Tan, Jesper Jensen:
Speech inpainting: Context-based speech synthesis guided by video. CoRR abs/2306.00489 (2023) - [i30]Andreas Jonas Fuglsig, Jesper Jensen, Zheng-Hua Tan, Lars Søndergaard Bertelsen, Jens Christian Lindof, Jan Østergaard:
Joint Minimum Processing Beamforming and Near-end Listening Enhancement. CoRR abs/2309.11243 (2023) - [i29]Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May:
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler. CoRR abs/2312.02683 (2023) - [i28]Philippe Gonzalez, Zheng-Hua Tan, Jan Østergaard, Jesper Jensen, Tommy Sonne Alstrøm, Tobias May:
Investigating the Design Space of Diffusion Models for Speech Enhancement. CoRR abs/2312.04370 (2023) - [i27]Holger Severin Bovbjerg, Jesper Jensen, Jan Østergaard, Zheng-Hua Tan:
Self-supervised Pretraining for Robust Personalized Voice Activity Detection in Adverse Conditions. CoRR abs/2312.16613 (2023) - 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]Meng Guo, Søren Holdt Jensen, Jesper Jensen:
Novel Acoustic Feedback Cancellation Approaches in Hearing Aid Applications Using Probe Noise and Probe Noise Enhancement. IEEE Trans. Speech Audio Process. 20(9): 2549-2563 (2012) - [c44]Ulrik Kjems, Jesper Jensen:
Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement. EUSIPCO 2012: 295-299 - [c43]Meng Guo, Søren Holdt Jensen, Jesper Jensen, Steven L. Grant:
On the use of a phase modulation method for decorrelation in acoustic feedback cancellation. EUSIPCO 2012: 2000-2004 - [c42]Meng Guo, Søren Holdt Jensen, Jesper Jensen:
An improved probe noise approach for acoustic feedback cancellation. SAM 2012: 497-500 - 2011
- [j19]Cees H. Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
An Algorithm for Intelligibility Prediction of Time-Frequency Weighted Noisy Speech. IEEE Trans. Speech Audio Process. 19(7): 2125-2136 (2011) - [j18]Jan Østergaard, Daniel E. Quevedo, Jesper Jensen:
Real-Time Perceptual Moving-Horizon Multiple-Description Audio Coding. IEEE Trans. Signal Process. 59(9): 4286-4299 (2011) - [j17]Meng Guo, Thomas Bo Elmedyb, Søren Holdt Jensen, Jesper Jensen:
Analysis of Acoustic Feedback/Echo Cancellation in Multiple-Microphone and Single-Loudspeaker Systems Using a Power Transfer Function Method. IEEE Trans. Signal Process. 59(12): 5774-5788 (2011) - [c41]Meng Guo, Thomas Bo Elmedyb, Søren Holdt Jensen, Jesper Jensen:
Acoustic feedback and echo cancellation strategies for multiple-microphone and single-loudspeaker systems. ACSCC 2011: 556-560 - [c40]Meng Guo, Thomas Bo Elmedyb, Søren Holdt Jensen, Jesper Jensen:
Comparison of multiple-microphone and single-loudspeaker adaptive feedback/echo cancellation systems. EUSIPCO 2011: 1279-1283 - [c39]Meng Guo, Thomas Bo Elmedyb, Søren Holdt Jensen, Jesper Jensen:
Analysis of adaptive feedback and echo cancelation algorithms in a general multiple-microphone and single-loudspeaker system. ICASSP 2011: 433-436 - [c38]Jesper Jensen, Richard C. Hendriks:
Spectral magnitude minimum mean-square error binary masks for DFT based speech enhancement. ICASSP 2011: 4736-4739 - 2010
- [j16]Jan Østergaard, Richard Heusdens, Jesper Jensen:
n -Channel Asymmetric Entropy-Constrained Multiple-Description Lattice Vector Quantization. IEEE Trans. Inf. Theory 56(12): 6354-6375 (2010) - [c37]Cees H. Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Intelligibility Prediction of Single-Channel Noise-Reduced Speech. Sprachkommunikation 2010: 1-4 - [c36]Cees H. Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
A short-time objective intelligibility measure for time-frequency weighted noisy speech. ICASSP 2010: 4214-4217 - [c35]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
MMSE based noise PSD tracking with low complexity. ICASSP 2010: 4266-4269 - [i3]Jan Østergaard, Richard Heusdens, Jesper Jensen:
n-Channel Asymmetric Entropy-Constrained Multiple-Description Lattice Vector Quantization. CoRR abs/1012.0018 (2010)
2000 – 2009
- 2009
- [j15]Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems:
Low Complexity DFT-Domain Noise PSD Tracking Using High-Resolution Periodograms. EURASIP J. Adv. Signal Process. 2009 (2009) - [j14]Richard C. Hendriks, Richard Heusdens, Ulrik Kjems, Jesper Jensen:
On Optimal Multichannel Mean-Squared Error Estimators for Speech Enhancement. IEEE Signal Process. Lett. 16(10): 885-888 (2009) - [c34]Jan Østergaard, Daniel E. Quevedo, Jesper Jensen:
Low delay moving-horizon multiple-description audio coding forwireless hearing aids. ICASSP 2009: 21-24 - [c33]Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems:
Fast noise PSD estimation with low complexity. ICASSP 2009: 3881-3884 - [c32]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Log-spectral magnitude MMSE estimators under super-Gaussian densities. INTERSPEECH 2009: 1319-1322 - [c31]Cees H. Taal, Richard C. Hendriks, Richard Heusdens, Jesper Jensen, Ulrik Kjems:
An evaluation of objective quality measures for speech intelligibility prediction. INTERSPEECH 2009: 1947-1950 - [c30]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
On robustness of multi-channel minimum mean-squared error estimators under super-Gaussian priors. WASPAA 2009: 157-160 - 2008
- [j13]Richard C. Hendriks, Jesper Jensen, Richard Heusdens:
Noise Tracking Using DFT Domain Subspace Decompositions. IEEE Trans. Speech Audio Process. 16(3): 541-553 (2008) - 2007
- [j12]Jan S. Erkelens, Jesper Jensen, Richard Heusdens:
A data-driven approach to optimizing spectral speech enhancement methods for various error criteria. Speech Commun. 49(7-8): 530-541 (2007) - [j11]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
An MMSE Estimator for Speech Enhancement Under a Combined Stochastic-Deterministic Speech Model. IEEE Trans. Speech Audio Process. 15(2): 406-415 (2007) - [j10]Jesper Jensen, Richard Heusdens:
Improved Subspace-Based Single-Channel Speech Enhancement Using Generalized Super-Gaussian Priors. IEEE Trans. Speech Audio Process. 15(3): 862-872 (2007) - [j9]Pim Korten, Jesper Jensen, Richard Heusdens:
High-Resolution Spherical Quantization of Sinusoidal Parameters. IEEE Trans. Speech Audio Process. 15(3): 966-981 (2007) - [j8]Jan S. Erkelens, Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Minimum Mean-Square Error Estimation of Discrete Fourier Coefficients With Generalized Gamma Priors. IEEE Trans. Speech Audio Process. 15(6): 1741-1752 (2007) - [c29]Jan S. Erkelens, Jesper Jensen, Richard Heusdens:
Speech enhancement based on Rayleigh mixture modeling of speech spectral amplitude distributions. EUSIPCO 2007: 65-69 - [c28]Richard C. Hendriks, Jesper Jensen, Richard Heusdens:
DFT domain subspace based noise tracking for speech enhancement. INTERSPEECH 2007: 830-833 - 2006
- [j7]Christoffer Asgaard Rødbro, Jesper Jensen, Richard Heusdens:
Rate-distortion optimal time-segmentation and redundancy selection for VoIP. IEEE Trans. Speech Audio Process. 14(3): 752-763 (2006) - [j6]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Adaptive Time Segmentation for Improved Speech Enhancement. IEEE Trans. Speech Audio Process. 14(6): 2064-2074 (2006) - [j5]Jan Østergaard, Jesper Jensen, Richard Heusdens:
n-channel entropy-constrained multiple-description lattice vector quantization. IEEE Trans. Inf. Theory 52(5): 1956-1973 (2006) - [c27]Jan S. Erkelens, Jesper Jensen, Richard Heusdens:
A general optimization procedure for spectral speech enhancement methods. EUSIPCO 2006: 1-5 - [c26]Jesper Jensen, Richard Heusdens:
A numerical approach for estimating optimal gain functions in single-channel DFT based speech enhancement. EUSIPCO 2006: 1-5 - [c25]Pim Korten, Jesper Jensen, Richard Heusdens:
High Resolution Spherical Quantization of Sinusoids with Harmonically Related Frequencies. ICASSP (5) 2006: 65-68 - [c24]Jan Østergaard, Omar Aziz Niamut, Jesper Jensen, Richard Heusdens:
Perceptual Audio Coding Using N-Channel Lattice Vector Quantization. ICASSP (5) 2006: 197-200 - [c23]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Speech Enhancement Under a Combined Stochastic-Deterministic Model. ICASSP (1) 2006: 453-456 - [c22]Ivo Batina, Jesper Jensen, Richard Heusdens:
Noise Power Spectrum Estimation for Speech Enhancement Using an Autoregressive Model for Speech Power Spectrum Dynamics. ICASSP (3) 2006: 1064-1067 - [c21]Jesper Jensen, Richard C. Hendriks, Jan S. Erkelens, Richard Heusdens:
MMSE estimation of complex-valued discrete Fourier coefficients with generalized gamma priors. INTERSPEECH 2006 - [c20]Jan Østergaard, Richard Heusdens, Jesper Jensen:
Source-Channel Erasure Codes with Lattice Codebooks for Multiple Description Coding. ISIT 2006: 2324-2328 - [i2]Jan Østergaard, Jesper Jensen, Richard Heusdens:
n-Channel Entropy-Constrained Multiple-Description Lattice Vector Quantization. CoRR abs/cs/0602035 (2006) - 2005
- [j4]Steven van de Par, Armin Kohlrausch, Richard Heusdens, Jesper Jensen, Søren Holdt Jensen:
A Perceptual Model for Sinusoidal Audio Coding Based on Spectral Integration. EURASIP J. Adv. Signal Process. 2005(9): 1292-1304 (2005) - [c19]Jan Østergaard, Jesper Jensen, Richard Heusdens:
n-Channel Symmetric Multiple-Description Lattice Vector Quantization. DCC 2005: 378-387 - [c18]Ivo Batina, Jesper Jensen, Richard Heusdens:
Kalman filtering based noise power spectral density estimation for speech enhancement. EUSIPCO 2005: 1-4 - [c17]Jesper Jensen, Richard C. Hendriks, Richard Heusdens, Søren Holdt Jensen:
Smoothed subspace based noise suppression with application to speech enhancement. EUSIPCO 2005: 1-4 - [c16]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Adaptive Time Segmentation of Noisy Speech for Improved Speech Enhancement. ICASSP (1) 2005: 153-156 - [c15]Pim Korten, Jesper Jensen, Richard Heusdens:
High resolution spherical quantization of sinusoidal parameters using a perceptual distortion measure. ICASSP (3) 2005: 177-180 - [c14]Richard Heusdens, Jesper Jensen:
Jointly optimal time segmentation, component selection and quantization for sinusoidal coding of audio and speech. ICASSP (3) 2005: 193-196 - [c13]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Improved decision directed approach for speech enhancement using an adaptive time segmentation. INTERSPEECH 2005: 2101-2104 - [c12]Jan Østergaard, Richard Heusdens, Jesper Jensen:
n-channel asymmetric multiple-description lattice vector quantization. ISIT 2005: 1793-1797 - [i1]Jan Østergaard, Richard Heusdens, Jesper Jensen:
n-Channel Asymmetric Multiple-Description Lattice Vector Quantization. CoRR abs/cs/0508012 (2005) - 2004
- [j3]Jesper Jensen, Richard Heusdens, Søren Holdt Jensen:
A perceptual subspace approach for modeling of speech and audio signals with damped sinusoids. IEEE Trans. Speech Audio Process. 12(2): 121-132 (2004) - [c11]Pim Korten, Jesper Jensen, Richard Heusdens:
High rate spherical quantization of sinusoidal parameters. EUSIPCO 2004: 1757-1760 - [c10]Jesper Jensen, Richard Heusdens:
Time-differential encoding of sinusoidal model parameters for multiple successive segments. EUSIPCO 2004: 2275-2278 - [c9]Richard C. Hendriks, Richard Heusdens, Jesper Jensen:
Perceptual linear predictive noise modelling for sinusoid-plus-noise audio coding. ICASSP (4) 2004: 189-192 - [c8]Christoffer Rødbro, Jesper Jensen, Richard Heusdens:
Adaptive time-segmentation for speech coding with limited delay. ICASSP (1) 2004: 465-468 - [c7]Jan Østergaard, Jesper Jensen, Richard Heusdens:
Entropy constrained multiple description lattice vector quantization. ICASSP (4) 2004: 601-604 - 2003
- [j2]Jesper Jensen, Richard Heusdens:
Schemes for optimal frequency-differential encoding of sinusoidal model parameters. Signal Process. 83(8): 1721-1735 (2003) - [c6]Jesper Jensen, Richard Heusdens, Søren Holdt Jensen:
A perceptual subspace method for sinusoidal speech and audio modeling. ICASSP (5) 2003: 401-404 - 2002
- [c5]Jesper Jensen, Richard Heusdens:
A comparison of sinusoidal model variants for speech and audio representation. EUSIPCO 2002: 1-4 - [c4]Jesper Jensen, Richard Heusdens:
Optimal frequency-differential encoding of sinusoidal model parameters. ICASSP 2002: 2497-2500 - 2001
- [j1]Jesper Jensen, John H. L. Hansen:
Speech enhancement using a constrained iterative sinusoidal model. IEEE Trans. Speech Audio Process. 9(7): 731-740 (2001) - 2000
- [c3]Jesper Jensen, Søren Holdt Jensen, Egon Hansen:
Harmonic exponential modeling of transitional speech segments. ICASSP 2000: 1439-1442 - [c2]Jesper Jensen, John H. L. Hansen:
Speech enhancement based on a constrained sinusoidal model. INTERSPEECH 2000: 214-217
1990 – 1999
- 1999
- [c1]Jesper Jensen, Søren Holdt Jensen, Egon Hansen:
Exponential sinusoidal modeling of transitional speech segments. ICASSP 1999: 473-476
Coauthor Index
Richard C. Hendriks
aka: Richard Christian Hendriks
aka: Richard Christian Hendriks
[j48] [j45] [j42] [j40] [j38] [c83] [c80] [c76] [c75] [i12] [i10] [j33] [c72] [c71] [c65] [c64] [c63] [c60] [i4] [j19] [j16] [c37] [c36] [c35] [i3] [j15] [j14] [c33] [c32] [c31] [c30] [j13] [j12] [j11] [j10] [j9] [j8] [c29] [c28] [j7] [j6] [j5] [c27] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i2] [j4] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [i1] [j3] [c11] [c10] [c9] [c8] [c7] [j2] [c6] [c5] [c4]
Morten Kolbæk
aka: Morten Kolbaek
aka: Morten Kolbaek
[j59] [j58] [j57] [c101] [c100] [i31] [i30] [i29] [i28] [i27] [j56] [j55] [j54] [j53] [c97] [i26] [i25] [j51] [j50] [c94] [c93] [c91] [i24] [i23] [i22] [j47] [j46] [j44] [c89] [c87] [c84] [i21] [i20] [i19] [i18] [j43] [j41] [c82] [c81] [c79] [c77] [i17] [i16] [i15] [j37] [j35] [j34] [c74] [i14] [i11] [i9] [i8] [j32] [j31] [j30] [c70] [c69] [c67] [c66] [i7] [i6] [j28] [c63] [c61] [c58] [c57] [i5] [j26] [c56] [c55] [c52] [c49]
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