| An algorithm for intelligibility prediction of time–frequency weighted noisy speech CH Taal, RC Hendriks, R Heusdens, J Jensen IEEE Transactions on audio, speech, and language processing 19 (7), 2125-2136, 2011 | 2381 | 2011 |
| A short-time objective intelligibility measure for time-frequency weighted noisy speech CH Taal, RC Hendriks, R Heusdens, J Jensen 2010 IEEE international conference on acoustics, speech and signal …, 2010 | 1151 | 2010 |
| Permutation invariant training of deep models for speaker-independent multi-talker speech separation D Yu, M Kolbæk, ZH Tan, J Jensen 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 975 | 2017 |
| Multitalker speech separation with utterance-level permutation invariant training of deep recurrent neural networks M Kolbæk, D Yu, ZH Tan, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (10 …, 2017 | 904 | 2017 |
| An Algorithm for Predicting the Intelligibility of Speech Masked by Modulated Noise Maskers. J Jensen, C Taal IEEE Trans. Audio, Speech, Language Process. 24 (11), 2009-2022, 2016 | 590 | 2016 |
| MMSE based noise PSD tracking with low complexity RC Hendriks, R Heusdens, J Jensen 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 337 | 2010 |
| Minimum mean-square error estimation of discrete Fourier coefficients with generalized Gamma priors JS Erkelens, RC Hendriks, R Heusdens, J Jensen IEEE Transactions on Audio, Speech, and Language Processing 15 (6), 1741-1752, 2007 | 337 | 2007 |
| An overview of deep-learning-based audio-visual speech enhancement and separation D Michelsanti, ZH Tan, SX Zhang, Y Xu, M Yu, D Yu, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 1368-1396, 2021 | 263 | 2021 |
| Speech intelligibility potential of general and specialized deep neural network based speech enhancement systems M Kolbæk, ZH Tan, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (1), 153-167, 2016 | 205 | 2016 |
| DFT-domain based single-microphone noise reduction for speech enhancement RC Hendriks, T Gerkmann, J Jensen Springer Nature, 2022 | 201 | 2022 |
| Prediction of future fading based on past measurements JB Andersen, J Jensen, SH Jensen, F Frederiksen Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th …, 1999 | 189 | 1999 |
| Self-calibration of multi-microphone noise reduction system for hearing assistance devices using an auxiliary device J Jensen, MS Pedersen US Patent 9,591,411, 2017 | 174 | 2017 |
| Speech enhancement using a constrained iterative sinusoidal model J Jensen, JHL Hansen IEEE Transactions on Speech and Audio Processing 9 (7), 731-740, 2001 | 151 | 2001 |
| On loss functions for supervised monaural time-domain speech enhancement M Kolbæk, ZH Tan, SH Jensen, J Jensen IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 825-838, 2020 | 149 | 2020 |
| Deep spoken keyword spotting: An overview I López-Espejo, ZH Tan, JHL Hansen, J Jensen IEEE Access 10, 4169-4199, 2021 | 117 | 2021 |
| Novel acoustic feedback cancellation approaches in hearing aid applications using probe noise and probe noise enhancement M Guo, SH Jensen, J Jensen IEEE Transactions on Audio, Speech, and Language Processing 20 (9), 2549-2563, 2012 | 115 | 2012 |
| Noise tracking using DFT domain subspace decompositions RC Hendriks, J Jensen, R Heusdens IEEE Transactions on Audio, Speech, and Language Processing 16 (3), 541-553, 2008 | 115 | 2008 |
| Noise estimation for use with noise reduction and echo cancellation in personal communication U Kjems, J Jensen US Patent 9,224,393, 2015 | 107 | 2015 |
| Hearing device comprising a keyword detector and an own voice detector and/or a transmitter NH Rohde, T Bentsen, AB Olsen, AH Andersen, MS Pedersen, ... US Patent 11,546,707, 2023 | 99 | 2023 |
| Maximum likelihood based noise covariance matrix estimation for multi-microphone speech enhancement U Kjems, J Jensen 2012 Proceedings of the 20th European signal processing conference (EUSIPCO …, 2012 | 95 | 2012 |
Richard HeusdensProfessor, Netherlands Defence Academy, Delft University of TechnologyGeverifieerd e-mailadres voor tudelft.nl
