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ORCIDMads Græsbøll Christensen
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- affiliation: Aalborg University, Denmark
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2020 – today
- 2024
[j82]Qinzheng Zhang, Haiyan Wang
, Jesper Rindom Jensen, Shuai Tao, Mads Græsbøll Christensen:
Time-Frequency Bins Selection for Direction of Arrival Estimation Based on Speech Presence Probability Learning. Circuits Syst. Signal Process. 43(5): 2961-2981 (2024)- [j81]Usama Saqib, Mads Græsbøll Christensen, Jesper Rindom Jensen:
Robust acoustic reflector localization using a modified EM algorithm. EURASIP J. Audio Speech Music. Process. 2024(1): 22 (2024) - [j80]Debang Liu, Tianqi Zhang, Mads Græsbøll Christensen, Chen Yi, Ying Wei:
Multi-layer encoder-decoder time-domain single channel speech separation. Pattern Recognit. Lett. 181: 86-91 (2024) - [j79]Zonglong Bai, Junyan Zhang, Liming Shi, Mads Græsbøll Christensen:
Approximating the zero-norm penalized sparse signal recovery using a hierarchical Bayesian framework. Signal Process. 218: 109361 (2024) - [j78]Vinal Patel, Sankha Subhra Bhattacharjee, Jesper Rindom Jensen, Mads Græsbøll Christensen, Jacob Benesty:
Nonlinear acoustic echo cancellation using low-complexity low-rank recursive least-squares algorithms. Signal Process. 225: 109623 (2024) - [j77]Yingying Zhu, Haiquan Zhao, Mads Græsbøll Christensen:
Laguerre Kernel Adaptive Filter With Arctangent Criterion for Nonlinear System Identification. IEEE Signal Process. Lett. 31: 2085-2089 (2024) - [j76]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training. IEEE ACM Trans. Audio Speech Lang. Process. 32: 164-177 (2024) - [c182]Srikanth Burra, Asutosh Kar, Mads Græsbøll Christensen:
Conjugate Gradient Based Adaptive Algorithm for Nonlinear AEC. ICASSP 2024: 556-560 - [c181]Sankha Subhra Bhattacharjee, Srikanth Burra, Jesper Rindom Jensen, Liming Shi, Guoli Ping, Jingkai Weng, Mads Græsbøll Christensen:
Broadband Personal Sound Zone Control in the Presence of Nonlinearities. ICASSP 2024: 1351-1355 - [c180]Yurii Iotov, Sidsel Marie Nørholm, Peter John McCutcheon, Mads Græsbøll Christensen:
Improving Speech Attenuation in Headphones using Harmonic Model Decomposition and Multiple-Frequency ANC. ICASSP 2024: 1376-1380 - [i16]Wenrui Yu, Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Mads Græsbøll Christensen, Richard Heusdens:
Provable Privacy Advantages of Decentralized Federated Learning via Distributed Optimization. CoRR abs/2407.09324 (2024) - 2023
- [j75]Zonglong Bai, Liming Shi, Jinwei Sun, Mads Græsbøll Christensen:
Space alternating variational estimation based sparse Bayesian learning for complex-value sparse signal recovery using adaptive Laplace priors. IET Signal Process. 17(3) (2023) - [j74]Lei Li, Yi-Fei Pu, Sankha Subhra Bhattacharjee, Mads Græsbøll Christensen:
Widely linear complex-valued hyperbolic secant adaptive filtering algorithm and its performance analysis. Signal Process. 212: 109146 (2023) - [j73]Constantin Paleologu, Jacob Benesty, Cristian Lucian Stanciu, Jesper Rindom Jensen, Mads Græsbøll Christensen, Silviu Ciochina:
Recursive least-squares algorithm based on a third-order tensor decomposition for low-rank system identification. Signal Process. 213: 109216 (2023) - [j72]Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
An adaptive autoregressive pre-whitener for speech and acoustic signals based on parametric NMF. Speech Commun. 151: 9-23 (2023) - [j71]Vinal Patel, Sankha Subhra Bhattacharjee, Mads Græsbøll Christensen:
Generalized Soft-Root-Sign Based Robust Sparsity-Aware Adaptive Filters. IEEE Signal Process. Lett. 30: 200-204 (2023) - [j70]Wenzhao Zhu, Lei Luo, Jinwei Sun, Mads Græsbøll Christensen:
A New Virtual Tracking Sub-Algorithm Based Hybrid Active Control System for Narrowband Noise With Impulsive Interference. IEEE ACM Trans. Audio Speech Lang. Process. 31: 915-926 (2023) - [j69]Jesper Kjær Nielsen, Mads Græsbøll Christensen, Jesper Bünsow Boldt:
An Analysis of Traditional Noise Power Spectral Density Estimators Based on the Gaussian Stochastic Volatility Model. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2299-2313 (2023) - [j68]Junqing Zhang, Liming Shi, Mads Græsbøll Christensen, Wen Zhang, Lijun Zhang, Jingdong Chen:
CGMM-Based Sound Zone Generation Using Robust Pressure Matching With ATF Perturbation Constraints. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3331-3345 (2023) - [c179]Yurii Iotov, Sidsel Marie Nørholm, Valiantsin Belyi, Mads Græsbøll Christensen:
Non-Stationary Prediction for Addressing the Non-Causality Problem in Fixed-Filter ANC Headphones for Speech Reduction. EUSIPCO 2023: 101-105 - [c178]Sankha Subhra Bhattacharjee, Mads Græsbøll Christensen, Jacob Benesty:
Study of Sparsity Emanating from NKPD and its Utilization to Enhance NKPD based Adaptive Algorithms. EUSIPCO 2023: 361-365 - [c177]Sankha Subhra Bhattacharjee, Liming Shi, Guoli Ping, Xiaoxiang Shen, Mads Græsbøll Christensen:
Study And Design Of Robust Personal Sound Zones With Vast Using Low Rank Rirs. ICASSP 2023: 1-5 - [c176]Yuhan Li, Jesper Rindom Jensen, Maozhong Fu, Zhenmiao Deng, Mads Græsbøll Christensen:
Sparse Bayesian Learning Based Three-Dimensional Imaging for Antenna Array Radar. ICASSP 2023: 1-5 - [c175]Shuai Tao, Himavanth Reddy, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Frequency Bin-Wise Single Channel Speech Presence Probability Estimation Using Multiple DNNS. ICASSP 2023: 1-5 - [c174]Debang Liu, Tianqi Zhang, Mads Græsbøll Christensen, Ying Wei, Zeliang An:
Audio-Visual Fusion using Multiscale Temporal Convolutional Attention for Time-Domain Speech Separation. INTERSPEECH 2023: 3694-3698 - [c173]Yurii Iotov, Sidsel Marie Nørholm, Valiantsin Belyi, Mads Græsbøll Christensen:
Adaptive Sparse Linear Prediction in Fixed-Filter ANC Headphone Applications for Multi-Speaker Speech Reduction. WASPAA 2023: 1-5 - [c172]Shuai Tao, Yang Xiang, Himavanth Reddy, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Single Channel Speech Presence Probability Estimation based on Hybrid Global-Local Information. WASPAA 2023: 1-5 - [i15]Shuai Tao, Himavanth Reddy, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Frequency bin-wise single channel speech presence probability estimation using multiple DNNs. CoRR abs/2302.12048 (2023) - 2022
- [j67]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A speech enhancement algorithm based on a non-negative hidden Markov model and Kullback-Leibler divergence. EURASIP J. Audio Speech Music. Process. 2022(1): 22 (2022) - [j66]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization. Signal Process. 194: 108456 (2022) - [j65]Zhenhua Zhou, Lei Huang, Mads Græsbøll Christensen, Shengli Zhang:
Robust Spectral Analysis of Multi-Channel Sinusoidal Signals in Impulsive Noise Environments. IEEE Trans. Signal Process. 70: 919-935 (2022) - [j64]Maozhong Fu, Yuhan Li, Zhenmiao Deng, Haixin Sun, Mads Græsbøll Christensen:
High-Resolution and Accurate RV Map Estimation by Spare Bayesian Learning. IEEE Trans. Veh. Technol. 71(9): 9613-9624 (2022) - [c171]Srikanth Burra, Asutosh Kar, Mads Græsbøll Christensen:
An Improved Functional Link Architecture for Nonlinear AEC. EUSIPCO 2022: 75-79 - [c170]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A deep representation learning speech enhancement method using β-VAE. EUSIPCO 2022: 359-363 - [c169]Qiongxiu Li, Milan Lopuhaä-Zwakenberg, Richard Heusdens, Mads Græsbøll Christensen:
Two for the price of one: communication efficient and privacy-preserving distributed average consensus using quantization. EUSIPCO 2022: 2166-2170 - [c168]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Bayesian Permutation Training Deep Representation Learning Method for Speech Enhancement with Variational Autoencoder. ICASSP 2022: 381-385 - [c167]Maozhong Fu, Jesper Rindom Jensen, Yuhan Li, Mads Græsbøll Christensen:
Sparse Modeling of The Early Part of Noisy Room Impulse Responses with Sparse Bayesian Learning. ICASSP 2022: 586-590 - [c166]Yurii Iotov, Sidsel Marie Nørholm, Valiantsin Belyi, Mads Dyrholm, Mads Græsbøll Christensen:
Computationally Efficient Fixed-Filter ANC for Speech Based on Long-Term Prediction for Headphone Applications. ICASSP 2022: 761-765 - [c165]Liming Shi, Guoli Ping, Xiaoxiang Shen, Mads Græsbøll Christensen:
Generation of Personal Sound Fields in Reverberant Environments Using Interframe Correlation. ICASSP 2022: 1066-1070 - [c164]Qiongxiu Li, Jaron Skovsted Gundersen, Katrine Tjell, Rafal Wisniewski, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model Using Subspace Perturbation. ICASSP 2022: 4263-4267 - [c163]Junqing Zhang, Liming Shi, Mads Græsbøll Christensen, Wen Zhang, Lijun Zhang, Jingdong Chen:
Robust Pressure Matching with ATF Perturbation Constraints for Sound Field Control. ICASSP 2022: 8712-8716 - [c162]Junqing Zhang, Liming Shi, Mads Græsbøll Christensen, Wen Zhang, Lijun Zhang, Jingdong Chen:
Robust Acoustic Contrast Control with Positive Semidefinite Constraint Using Iterative POTDC Algorithm. IWAENC 2022: 1-5 - [i14]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Bayesian Permutation training deep representation learning method for speech enhancement with variational autoencoder. CoRR abs/2201.09875 (2022) - [i13]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A deep representation learning speech enhancement method using β-VAE. CoRR abs/2205.05581 (2022) - [i12]Qiongxiu Li, Jaron Skovsted Gundersen, Katrine Tjell, Rafal Wisniewski, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Expectation Maximization for Gaussian Mixture Model using Subspace Perturbation. CoRR abs/2209.07833 (2022) - [i11]Yang Xiang, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Two-Stage Deep Representation Learning-Based Speech Enhancement Method Using Variational Autoencoder and Adversarial Training. CoRR abs/2211.09166 (2022) - 2021
- [j63]Yuki Saishu, Amir Hossein Poorjam, Mads Græsbøll Christensen:
A CNN-based approach to identification of degradations in speech signals. EURASIP J. Audio Speech Music. Process. 2021(1): 1-10 (2021) - [j62]Zonglong Bai, Liming Shi, Jesper Rindom Jensen, Jinwei Sun, Mads Græsbøll Christensen:
Acoustic DOA estimation using space alternating sparse Bayesian learning. EURASIP J. Audio Speech Music. Process. 2021(1): 14 (2021) - [j61]Barry G. Quinn, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Fast algorithms for fundamental frequency estimation in autoregressive noise. Signal Process. 180: 107860 (2021) - [j60]Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi, Yordan P. Raykov, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen:
Automatic quality control and enhancement for voice-based remote Parkinson's disease detection. Speech Commun. 127: 1-16 (2021) - [j59]Taewoong Lee, Liming Shi, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Fast Generation of Sound Zones Using Variable Span Trade-Off Filters in the DFT-Domain. IEEE ACM Trans. Audio Speech Lang. Process. 29: 363-378 (2021) - [j58]Liming Shi, Taewoong Lee, Lijun Zhang, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Generation of Personal Sound Zones With Physical Meaningful Constraints and Conjugate Gradient Method. IEEE ACM Trans. Audio Speech Lang. Process. 29: 823-837 (2021) - [j57]Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Processing: Metrics, Bounds and Algorithms. IEEE Trans. Inf. Forensics Secur. 16: 2090-2103 (2021) - [c161]Antonio Jesús Muñoz-Montoro, Pedro Vera-Candeas, Mads Græsbøll Christensen:
A Coherence-based Clustering Method for Multichannel Speech Enhancement in Wireless Acoustic Sensor Networks. EUSIPCO 2021: 1130-1134 - [c160]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Novel NMF-HMM Speech Enhancement Algorithm Based on Poisson Mixture Model. ICASSP 2021: 721-725 - [c159]Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation. Interspeech 2021: 1164-1168 - [i10]Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Speech Decomposition Based on a Hybrid Speech Model and Optimal Segmentation. CoRR abs/2105.01302 (2021) - [i9]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Communication efficient privacy-preserving distributed optimization using adaptive differential quantization. CoRR abs/2105.14416 (2021) - 2020
- [j56]Jesper Rindom Jensen, Sam Karimian-Azari, Mads Græsbøll Christensen, Jacob Benesty:
Harmonic beamformers for speech enhancement and dereverberation in the time domain. Speech Commun. 116: 1-11 (2020) - [j55]Taewoong Lee, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Signal-Adaptive and Perceptually Optimized Sound Zones With Variable Span Trade-Off Filters. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2412-2426 (2020) - [j54]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework. IEEE Trans. Signal Process. 68: 5983-5996 (2020) - [c158]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Convex optimization-based Privacy-Preserving Distributed Least Squares via Subspace Perturbation. EUSIPCO 2020: 2110-2114 - [c157]Qiongxiu Li, Mario Coutino, Geert Leus, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Graph Filtering. EUSIPCO 2020: 2155-2159 - [c156]Liming Shi, Taewoong Lee, Lijun Zhang, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
A Fast Reduced-Rank Sound Zone Control Algorithm Using The Conjugate Gradient Method. ICASSP 2020: 436-440 - [c155]Alfredo Esquivel Jaramillo, Andreas Jakobsson, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Robust Fundamental Frequency Estimation in Coloured Noise. ICASSP 2020: 741-745 - [c154]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Convex Optimisation-Based Privacy-Preserving Distributed Average Consensus in Wireless Sensor Networks. ICASSP 2020: 5895-5899 - [c153]Zihao Cui, Changchun Bao, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Autoregressive Parameter Estimation with Dnn-Based Pre-Processing. ICASSP 2020: 6759-6763 - [c152]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
An NMF-HMM Speech Enhancement Method Based on Kullback-Leibler Divergence. INTERSPEECH 2020: 2667-2671 - [i8]Qiongxiu Li, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Optimization via Subspace Perturbation: A General Framework. CoRR abs/2004.13999 (2020) - [i7]Yang Xiang, Liming Shi, Jesper Lisby Højvang, Morten Højfeldt Rasmussen, Mads Græsbøll Christensen:
A Speech Enhancement Algorithm based on Non-negative Hidden Markov Model and Kullback-Leibler Divergence. CoRR abs/2006.16689 (2020) - [i6]Qiongxiu Li, Jaron Skovsted Gundersen, Richard Heusdens, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Processing: Metrics, Bounds, and Algorithms. CoRR abs/2009.01098 (2020)
2010 – 2019
- 2019
- [j53]Zhenhua Zhou, Mads Græsbøll Christensen, Jesper Rindom Jensen, Shengli Zhang:
Parametric Modeling for Two-Dimensional Harmonic Signals With Missing Harmonics. IEEE Access 7: 48671-48688 (2019) - [j52]Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Quality Control in Remote Speech Data Collection. IEEE J. Sel. Top. Signal Process. 13(2): 236-243 (2019) - [j51]Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Jesper Bünsow Boldt, Mads Græsbøll Christensen:
Model-Based Speech Enhancement for Intelligibility Improvement in Binaural Hearing Aids. IEEE ACM Trans. Audio Speech Lang. Process. 27(1): 99-113 (2019) - [j50]Martin Weiss Hansen, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Estimation of Fundamental Frequencies in Stereophonic Music Mixtures. IEEE ACM Trans. Audio Speech Lang. Process. 27(2): 296-310 (2019) - [j49]Liming Shi, Jesper Kjær Nielsen, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen:
Robust Bayesian Pitch Tracking Based on the Harmonic Model. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1737-1751 (2019) - [c151]Bjarke Skogstad Larsen, Simon Winther, Louise Nissen, Axel Diederichsen, Morten Bøttcher, Johannes J. Struijk, Mads Græsbøll Christensen, Samuel Emil Schmidt:
Autoregressive Whitening Filtering of Phonocardiography Signals for Detection of Coronary Artery Disease. CinC 2019: 1-4 - [c150]Zonglong Bai, Jinwei Sun, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Indoor Sound Source Localization based on Sparse Bayesian Learning and Compressed Data. EUSIPCO 2019: 1-5 - [c149]Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Adaptive Pre-whitening Based on Parametric NMF. EUSIPCO 2019: 1-5 - [c148]Qiongxiu Li, Mads Græsbøll Christensen:
A Privacy-Preserving Asynchronous Averaging Algorithm based on Shamir's Secret Sharing. EUSIPCO 2019: 1-5 - [c147]Qiongxiu Li, Ignacio Cascudo, Mads Græsbøll Christensen:
Privacy-Preserving Distributed Average Consensus based on Additive Secret Sharing. EUSIPCO 2019: 1-5 - [c146]Taewoong Lee, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Towards Perceptually Optimized Sound Zones: A Proof-of-concept Study. ICASSP 2019: 136-140 - [c145]Jacob Møller Hjerrild, Mads Græsbøll Christensen:
Estimation of Guitar String, Fret and Plucking Position Using Parametric Pitch Estimation. ICASSP 2019: 151-155 - [c144]Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Mads Græsbøll Christensen, Jesper Bünsow Boldt:
Hearing Aid-controlled Beamformer for Binaural Speech Enhancement Using a Model-based Approach. ICASSP 2019: 321-325 - [c143]Amir Hossein Poorjam, Yordan P. Raykov, Reham Badawy, Jesper Rindom Jensen, Mads Græsbøll Christensen, Max A. Little:
Quality Control of Voice Recordings in Remote Parkinson's Disease Monitoring Using the Infinite Hidden Markov Model. ICASSP 2019: 805-809 - [c142]Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
A Study on How Pre-whitening Influences Fundamental Frequency Estimation. ICASSP 2019: 6495-6499 - [c141]Charlotte Sørensen, Jesper Bünsow Boldt, Mads Græsbøll Christensen:
Harmonic Beamformers for Non-Intrusive Speech Intelligibility Prediction. INTERSPEECH 2019: 4260-4264 - [c140]Charlotte Sørensen, Jesper Bünsow Boldt, Mads Græsbøll Christensen:
Validation of the Non-Intrusive Codebook-Based Short Time Objective Intelligibility Metric for Processed Speech. INTERSPEECH 2019: 4270-4274 - [c139]Jacob Møller Hjerrild, Silvin Willemsen, Mads Græsbøll Christensen:
Physical Models For Fast Estimation Of Guitar String, Fret And Plucking Position. WASPAA 2019: 155-159 - [c138]Zonglong Bai, Jesper Rindom Jensen, Jinwei Sun, Mads Græsbøll Christensen:
A Sparse Bayesian Learning Based RIR Reconstruction Method for Acoustic Toa And DOA Estimation. WASPAA 2019: 393-397 - [i5]Liming Shi, Jesper Kjær Nielsen, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen:
Bayesian Pitch Tracking Based on the Harmonic Model. CoRR abs/1905.08557 (2019) - [i4]Amir Hossein Poorjam, Mathew Shaji Kavalekalam, Liming Shi, Yordan P. Raykov, Jesper Rindom Jensen, Max A. Little, Mads Græsbøll Christensen:
Automatic Quality Control and Enhancement for Voice-Based Remote Parkinson's Disease Detection. CoRR abs/1905.11785 (2019) - 2018
- [j48]Charlotte Sorensen, Mathew Shaji Kavalekalam, Angeliki Xenaki, Jesper Bünsow Boldt, Mads Græsbøll Christensen:
Non-intrusive codebook-based intelligibility prediction. Speech Commun. 101: 85-93 (2018) - [c137]Jesper Kjær Nielsen, Taewoong Lee, Jesper Rindom Jensen, Mads Græsbøll Christensen:
Sound Zones As An Optimal Filtering Problem. ACSSC 2018: 1075-1079 - [c136]Daniele Giacobello, Manohar N. Murthi, Tobias Lindstrøm Jensen, Mads Græsbøll Christensen:
Revisiting the Linear Prediction Analysis-by-Synthesis Speech Coding Paradigm Using Real-Time Convex Optimization. ACSSC 2018: 1947-1952 - [c135]Mahmoud Fakhry, Amir Hossein Poorjam, Mads Græsbøll Christensen:
Speech Enhancement by Classification of Noisy Signals Decomposed Using NMF and Wiener Filtering. EUSIPCO 2018: 16-20 - [c134]Yingke Zhao, Jesper Kjær Nielsen, Mads Græsbøll Christensen, Jinzdona Chen:
Model-Based Voice Activity Detection in Wireless Acoustic Sensor Networks. EUSIPCO 2018: 425-429 - [c133]Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Liming Shi, Mads Græsbøll Christensen, Jesper Bünsow Boldt:
Online Parametric NMF for Speech Enhancement. EUSIPCO 2018: 2320-2324 - [c132]Alfredo Esquivel Jaramillo, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
On Optimal Filtering for Speech Decomposition. EUSIPCO 2018: 2325-2329 - [c131]Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Mads Græsbøll Christensen, Jesper Bünsow Boldt:
Model Based Estimation of STP Parameters for Binaural Speech Enhancement. EUSIPCO 2018: 2479-2483 - [c130]Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen:
A Parametric Approach for Classification of Distortions in Pathological Voices. ICASSP 2018: 286-290 - [c129]Amir Hossein Poorjam, Max A. Little, Jesper Rindom Jensen, Mads Græsbøll Christensen:
A Supervised Approach to Global Signal-to-Noise Ratio Estimation for Whispered and Pathological Voices. ICASSP 2018: 296-300 - [c128]Jacob Moller Hjerrild, Mads Græsbøll Christensen:
Estimation of Source Panning Parameters and Segmentation of Stereophonic Mixtures. ICASSP 2018: 426-430 - [c127]Taewoong Lee, Jesper Kjær Nielsen, Jesper Rindom Jensen, Mads Græsbøll Christensen:
A Unified Approach to Generating Sound Zones Using Variable Span Linear Filters. ICASSP 2018: 491-495 - [c126]Liming Shi, Jesper Rindom Jensen, Jesper Kjær Nielsen, Mads Græsbøll Christensen:
Multipitch Estimation Using Block Sparse Bayesian Learning and Intra-Block Clustering. ICASSP 2018: 666-670 - [c125]Jesper Kjær Nielsen, Mathew Shaji Kavalekalam, Mads Græsbøll Christensen, Jesper Bünsow Boldt:
Model-Based Noise PSD Estimation from Speech in Non-Stationary Noise. ICASSP 2018: 5424-5428 - [c124]Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Mads Græsbøll Christensen, Jesper Bünsow Boldt:
A Study of Noise PSD Estimators for Single Channel Speech Enhancement. ICASSP 2018: 5464-5468 - [i3]Mathew Shaji Kavalekalam, Jesper Kjær Nielsen, Jesper Bünsow Boldt, Mads Græsbøll Christensen:
Model-based Speech Enhancement for Intelligibility Improvement in Binaural Hearing Aids. CoRR abs/1806.04885 (2018) - 2017
- [j47]Jesper Kjær Nielsen, Tobias Lindstrøm Jensen, Jesper Rindom Jensen, Mads Græsbøll Christensen, Søren Holdt Jensen:
Fast fundamental frequency estimation: Making a statistically efficient estimator computationally efficient. Signal Process. 135: 188-197 (2017) - [j46]