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2020 – today
- 2024
[j32]Ernst Seidel
, Gerald Enzner, Pejman Mowlaee, Tim Fingscheidt:
Neural Kalman Filters for Acoustic Echo Cancellation: Comparison of deep neural network-based extensions [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. IEEE Signal Process. Mag. 41(6): 24-38 (2024)- [j31]Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt:
Convergence and Performance Analysis of Classical, Hybrid, and Deep Acoustic Echo Control. IEEE ACM Trans. Audio Speech Lang. Process. 32: 2857-2870 (2024) - [c184]Björn Möller, Zhengyang Li, Markus Etzkorn, Tim Fingscheidt:
Low-Resolution-Only Microscopy Super-Resolution Models Generalizing to Non-Periodicities at Atomic Scale. CVPR Workshops 2024: 6936-6945 - [c183]Danish Nazir, Timo Bartels, Jan Piewek, Thorsten Bagdonat, Tim Fingscheidt:
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding. ECCV (88) 2024: 195-212 - [c182]Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt:
Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression. ICASSP 2024: 1386-1390 - [c181]Ziyi Xu, Marvin Sach, Jan Pirklbauer, Tim Fingscheidt:
Employing Real Training Data for Deep Noise Suppression. ICASSP 2024: 10731-10735 - [c180]Renzheng Shi, Andreas Bär, Marvin Sach, Wouter Tirry, Tim Fingscheidt:
Non-Causal to Causal SSL-Supported Transfer Learning: Towards A High-Performance Low-Latency Speech Vocoder. IWAENC 2024: 359-363 - [c179]Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt:
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. WACV 2024: 2818-2828 - [i43]Wangyou Zhang, Robin Scheibler, Kohei Saijo, Samuele Cornell, Chenda Li, Zhaoheng Ni, Anurag Kumar, Jan Pirklbauer, Marvin Sach, Shinji Watanabe, Tim Fingscheidt, Yanmin Qian:
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. CoRR abs/2406.04660 (2024) - [i42]Danish Nazir, Timo Bartels, Jan Piewek, Thorsten Bagdonat, Tim Fingscheidt:
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding. CoRR abs/2407.11224 (2024) - [i41]Jasmin Breitenstein, Franz Jünger, Andreas Bär, Tim Fingscheidt:
Foundation Models for Amodal Video Instance Segmentation in Automated Driving. CoRR abs/2409.14095 (2024) - 2023
- [j30]Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt:
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. IEEE Access 11: 54296-54336 (2023) - [j29]Ziyi Xu, Ziyue Zhao, Tim Fingscheidt:
Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3404-3417 (2023) - [c178]Bidya Dash, Shreyas Bilagi, Jasmin Breitenstein, Volker Schomerus, Thorsten Bagdonat, Tim Fingscheidt:
Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving. AALTD@ECML/PKDD 2023: 92-112 - [c177]Zhengyang Li, Thomas Graave, Jing Liu, Timo Lohrenz, Siegfried Kunzmann, Tim Fingscheidt:
Parameter-Efficient Cross-Language Transfer Learning for a Language-Modular Audiovisual Speech Recognition. ASRU 2023: 1-8 - [c176]Jasmin Breitenstein, Kangdong Jin, Aziz Hakiri, Marvin Klingner, Tim Fingscheidt:
End-to-end Amodal Video Instance Segmentation. BMVC Workshop 2023 - [c175]Andreas Bär, Daniel Kusuma, Tim Fingscheidt:
Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving. CVPR Workshops 2023: 219-229 - [c174]Andreas Bär, Jonas Uhrig, Jeethesh Pai Umesh, Marius Cordts, Tim Fingscheidt:
A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection. CVPR Workshops 2023: 3851-3860 - [c173]Björn Möller, Jan Pirklbauer, Marvin Klingner, Peer Kasten, Markus Etzkorn, Tim J. Seifert, Uta Schlickum, Tim Fingscheidt:
A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy. CVPR Workshops 2023: 4263-4272 - [c172]Jasmin Breitenstein, Florian Heidecker, Maria Lyssenko, Daniel Bogdoll, Maarten Bieshaar, J. Marius Zöllner, Bernhard Sick, Tim Fingscheidt:
What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. ICCV (Workshops) 2023: 3993-4002 - [c171]Jan-Aike Termöhlen, Timo Bartels, Tim Fingscheidt:
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation. ICCV (Workshops) 2023: 4378-4387 - [c170]Timo Lohrenz, Björn Möller, Zhengyang Li, Tim Fingscheidt:
Relaxed Attention for Transformer Models. IJCNN 2023: 1-10 - [c169]Zhengyang Li, Chenwei Liang, Timo Lohrenz, Marvin Sach, Björn Möller, Tim Fingscheidt:
An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition. INTERSPEECH 2023: 1583-1587 - [c168]Marvin Sach, Jan Franzen, Bruno Defraene, Kristoff Fluyt, Maximilian Strake, Wouter Tirry, Tim Fingscheidt:
EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. INTERSPEECH 2023: 2508-2512 - [c167]Ernst Seidel, Pejman Mowlaee, Tim Fingscheidt:
Efficient Deep Acoustic Echo Suppression with Condition-Aware Training. WASPAA 2023: 1-5 - [i40]Ziyi Xu, Ziyue Zhao, Tim Fingscheidt:
Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN. CoRR abs/2304.09226 (2023) - [i39]Manuel Schwonberg, Joshua Niemeijer, Jan-Aike Termöhlen, Jörg P. Schäfer, Nico M. Schmidt, Hanno Gottschalk, Tim Fingscheidt:
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. CoRR abs/2304.11928 (2023) - [i38]Jan-Aike Termöhlen, Timo Bartels, Tim Fingscheidt:
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation. CoRR abs/2308.13331 (2023) - [i37]Ziyi Xu, Marvin Sach, Jan Pirklbauer, Tim Fingscheidt:
Employing Real Training Data for Deep Noise Suppression. CoRR abs/2309.02432 (2023) - [i36]Joshua Niemeijer, Manuel Schwonberg, Jan-Aike Termöhlen, Nico M. Schmidt, Tim Fingscheidt:
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. CoRR abs/2312.01850 (2023) - 2022
- [j28]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1572-1585 (2022) - [j27]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. IEEE Trans. Intell. Transp. Syst. 23(8): 10252-10261 (2022) - [j26]Marvin Klingner, Mouadh Ayache, Tim Fingscheidt:
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. IEEE Trans. Intell. Transp. Syst. 23(11): 20899-20911 (2022) - [c166]Jonas Löhdefink, Jonas Sitzmann, Andreas Bär, Tim Fingscheidt:
Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. CVPR Workshops 2022: 1731-1736 - [c165]Andreas Bär, Marvin Klingner, Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. CVPR Workshops 2022: 4398-4407 - [c164]Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein, Jan-Aike Termöhlen, Tim Fingscheidt:
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. CVPR Workshops 2022: 4802-4811 - [c163]Jasmin Breitenstein, Jonas Löhdefink, Tim Fingscheidt:
Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving. ECCV Workshops (1) 2022: 633-645 - [c162]Jan Franzen, Tim Fingscheidt:
Deep Residual Echo Suppression and Noise Reduction: A Multi-Input FCRN Approach in a Hybrid Speech Enhancement System. ICASSP 2022: 666-670 - [c161]Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt:
Detecting Adversarial Perturbations in Multi-Task Perception. IROS 2022: 13050-13057 - [c160]Christopher Plachetka, Benjamin Sertolli, Jenny Fricke, Marvin Klingner, Tim Fingscheidt:
3DHD CityScenes: High-Definition Maps in High-Density Point Clouds. ITSC 2022: 627-634 - [c159]Jasmin Breitenstein, Tim Fingscheidt:
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline. IV 2022: 1018-1025 - [c158]Ernst Seidel, Rasmus Kongsgaard Olsson, Karim Haddad, Zhengyang Li, Pejman Mowlaee, Tim Fingscheidt:
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering. IWAENC 2022: 1-5 - [c157]Maximilian Strake, Adrian Behlke, Tim Fingscheidt:
Self-Attention With Restricted Time Context And Resolution In Dnn Speech Enhancement. IWAENC 2022: 1-5 - [c156]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. IWAENC 2022: 1-5 - [c155]Zhengyang Li, Timo Lohrenz, Matthias Dunkelberg, Tim Fingscheidt:
Transformer-Based Lip-Reading with Regularized Dropout and Relaxed Attention. SLT 2022: 723-730 - [c154]Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt:
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. WACV (Workshops) 2022: 210-220 - [i35]Bile Peng, Jan-Aike Termöhlen, Cong Sun, Danping He, Ke Guan, Tim Fingscheidt, Eduard A. Jorswieck:
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network. CoRR abs/2201.02834 (2022) - [i34]Jonas Löhdefink, Tim Fingscheidt:
Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space. CoRR abs/2201.06415 (2022) - [i33]Marvin Klingner, Mouadh Ayache, Tim Fingscheidt:
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. CoRR abs/2203.01074 (2022) - [i32]Marvin Klingner, Varun Ravi Kumar, Senthil Kumar Yogamani, Andreas Bär, Tim Fingscheidt:
Detecting Adversarial Perturbations in Multi-Task Perception. CoRR abs/2203.01177 (2022) - [i31]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. CoRR abs/2205.02085 (2022) - [i30]Ernst Seidel, Rasmus Kongsgaard Olsson, Karim Haddad, Zhengyang Li, Pejman Mowlaee, Tim Fingscheidt:
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering. CoRR abs/2205.04276 (2022) - [i29]Jasmin Breitenstein, Tim Fingscheidt:
Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline. CoRR abs/2206.00527 (2022) - [i28]Marvin Klingner, Konstantin Müller, Mona Mirzaie, Jasmin Breitenstein, Jan-Aike Termöhlen, Tim Fingscheidt:
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. CoRR abs/2206.00608 (2022) - [i27]Timo Lohrenz, Björn Möller, Zhengyang Li, Tim Fingscheidt:
Relaxed Attention for Transformer Models. CoRR abs/2209.09735 (2022) - 2021
- [j25]Ziyi Xu, Samy Elshamy, Ziyue Zhao, Tim Fingscheidt:
Components loss for neural networks in mask-based speech enhancement. EURASIP J. Audio Speech Music. Process. 2021(1): 24 (2021) - [j24]Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. IEEE Signal Process. Mag. 38(1): 42-52 (2021) - [j23]Marvin Klingner, Tim Fingscheidt:
Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation. IEEE Trans. Intell. Transp. Syst. 22(7): 4670-4683 (2021) - [c153]Timo Lohrenz, Patrick Schwarz, Zhengyang Li, Tim Fingscheidt:
Multi-Head Fusion Attention for Transformer-Based End-to-End Automatic Speech Recognition. ITG Conference on Speech Communication 2021: 1-5 - [c152]Timo Lohrenz, Patrick Schwarz, Zhengyang Li, Tim Fingscheidt:
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition. ASRU 2021: 177-184 - [c151]Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt:
Improving Online Performance Prediction for Semantic Segmentation. CVPR Workshops 2021: 1-11 - [c150]Serin Varghese, Sharat Gujamagadi, Marvin Klingner, Nikhil Kapoor, Andreas Bär, Jan David Schneider, Kira Maag, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. CVPR Workshops 2021: 12-20 - [c149]Jan Franzen, Ernst Seidel, Tim Fingscheidt:
AEC in A Netshell: on Target and Topology Choices for FCRN Acoustic Echo Cancellation. ICASSP 2021: 156-160 - [c148]Jan Baumann, Patrick Meyer, Timo Lohrenz, Alexander Roy, Michael Papendieck, Tim Fingscheidt:
A New DCASE 2017 Rare Sound Event Detection Benchmark Under Equal Training Data: CRNN With Multi-Width Kernels. ICASSP 2021: 865-869 - [c147]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. ICCVW 2021: 1023-1028 - [c146]Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. IJCNN 2021: 1-8 - [c145]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data. Interspeech 2021: 2806-2810 - [c144]Timo Lohrenz, Zhengyang Li, Tim Fingscheidt:
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition. Interspeech 2021: 2846-2850 - [c143]Ernst Seidel, Jan Franzen, Maximilian Strake, Tim Fingscheidt:
Y2-Net FCRN for Acoustic Echo and Noise Suppression. Interspeech 2021: 4763-4767 - [c142]Antonia Breuer, Quy Le Xuan, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt:
Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving. ITSC 2021: 637-644 - [c141]Jan-Aike Termöhlen, Marvin Klingner, Leon J. Brettin, Nico M. Schmidt, Tim Fingscheidt:
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer. ITSC 2021: 2881-2888 - [c140]Christopher Plachetka, Jenny Fricke, Marvin Klingner, Tim Fingscheidt:
DNN-Based Recognition of Pole-Like Objects in LiDAR Point Clouds. ITSC 2021: 2889-2896 - [c139]Jasmin Breitenstein, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure. IV Workshops 2021: 90-97 - [c138]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. IV 2021: 644-651 - [c137]Patrick Meyer, Ziyi Xu, Tim Fingscheidt:
Improving Convolutional Recurrent Neural Networks for Speech Emotion Recognition. SLT 2021: 365-372 - [c136]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. WACV 2021: 61-71 - [i26]Andreas Bär, Jonas Löhdefink, Nikhil Kapoor, Serin J. Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. CoRR abs/2101.03924 (2021) - [i25]Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt:
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches. CoRR abs/2102.05897 (2021) - [i24]Florian Heidecker, Jasmin Breitenstein, Kevin Rösch, Jonas Löhdefink, Maarten Bieshaar, Christoph Stiller, Tim Fingscheidt, Bernhard Sick:
An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. CoRR abs/2103.03678 (2021) - [i23]Ernst Seidel, Jan Franzen, Maximilian Strake, Tim Fingscheidt:
Y$^2$-Net FCRN for Acoustic Echo and Noise Suppression. CoRR abs/2103.17189 (2021) - [i22]Timo Lohrenz, Zhengyang Li, Tim Fingscheidt:
Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition. CoRR abs/2104.00120 (2021) - [i21]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Markus Bach, Stefan Milz, Tim Fingscheidt, Patrick Mäder:
SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. CoRR abs/2104.04420 (2021) - [i20]Marvin Klingner, Andreas Bär, Marcel Mross, Tim Fingscheidt:
Improving Online Performance Prediction for Semantic Segmentation. CoRR abs/2104.05255 (2021) - [i19]Sebastian Houben, Stephanie Abrecht, Maram Akila, Andreas Bär, Felix Brockherde, Patrick Feifel, Tim Fingscheidt, Sujan Sai Gannamaneni, Seyed Eghbal Ghobadi, Ahmed Hammam, Anselm Haselhoff, Felix Hauser, Christian Heinzemann, Marco Hoffmann, Nikhil Kapoor, Falk Kappel, Marvin Klingner, Jan Kronenberger, Fabian Küppers, Jonas Löhdefink, Michael Mlynarski, Michael Mock, Firas Mualla, Svetlana Pavlitskaya, Maximilian Poretschkin, Alexander Pohl, Varun Ravi Kumar, Julia Rosenzweig, Matthias Rottmann, Stefan Rüping, Timo Sämann, Jan David Schneider, Elena Schulz, Gesina Schwalbe, Joachim Sicking, Toshika Srivastava, Serin Varghese, Michael Weber, Sebastian Wirkert, Tim Wirtz, Matthias Woehrle:
Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. CoRR abs/2104.14235 (2021) - [i18]Timo Lohrenz, Patrick Schwarz, Zhengyang Li, Tim Fingscheidt:
Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition. CoRR abs/2107.01275 (2021) - [i17]Daniel Bogdoll, Jasmin Breitenstein, Florian Heidecker, Maarten Bieshaar, Bernhard Sick, Tim Fingscheidt, J. Marius Zöllner:
Description of Corner Cases in Automated Driving: Goals and Challenges. CoRR abs/2109.09607 (2021) - [i16]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. CoRR abs/2111.03847 (2021) - 2020
- [j22]Patrick Meyer, Samy Elshamy, Tim Fingscheidt:
Multichannel speaker interference reduction using frequency domain adaptive filtering. EURASIP J. Audio Speech Music. Process. 2020(1): 1-17 (2020) - [j21]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration. EURASIP J. Adv. Signal Process. 2020(1): 49 (2020) - [c135]Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CSCS 2020: 3:1-3:8 - [c134]Marvin Klingner, Andreas Bär, Tim Fingscheidt:
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CVPR Workshops 2020: 1299-1309 - [c133]Andreas Bär, Marvin Klingner, Serin Varghese, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. CVPR Workshops 2020: 1348-1358 - [c132]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CVPR Workshops 2020: 1359-1368 - [c131]Serin Varghese, Yasin Bayzidi, Andreas Bär, Nikhil Kapoor, Sounak Lahiri, Jan David Schneider, Nico M. Schmidt, Peter Schlicht, Fabian Hüger, Tim Fingscheidt:
Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. CVPR Workshops 2020: 1369-1378 - [c130]Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt:
Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. ECCV (20) 2020: 582-600 - [c129]Patrick Meyer, Samy Elshamy, Jan Franzen, Tim Fingscheidt:
Multichannel Acoustic Echo Cancellation Applied to Microphone Leakage Reduction in Meetings. EUSIPCO 2020: 201-205 - [c128]Patrick Meyer, Samy Elshamy, Tim Fingscheidt:
A Multichannel Kalman-Based Wiener Filter Approach for Speaker Interference Reduction in Meetings. ICASSP 2020: 451-455 - [c127]Jan Baumann, Timo Lohrenz, Alexander Roy, Tim Fingscheidt:
Beyond the Dcase 2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework. ICASSP 2020: 611-615 - [c126]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Fully Convolutional Recurrent Networks for Speech Enhancement. ICASSP 2020: 6674-6678 - [c125]Ziyi Xu, Samy Elshamy, Tim Fingscheidt:
Using Separate Losses for Speech and Noise in Mask-Based Speech Enhancement. ICASSP 2020: 7519-7523 - [c124]Timo Lohrenz, Tim Fingscheidt:
BLSTM-Driven Stream Fusion for Automatic Speech Recognition: Novel Methods and a Multi-Size Window Fusion Example. INTERSPEECH 2020: 26-30 - [c123]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising. INTERSPEECH 2020: 2467-2471 - [c122]Antonia Breuer, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt:
openDD: A Large-Scale Roundabout Drone Dataset. ITSC 2020: 1-6 - [c121]Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt:
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. ITSC 2020: 1-8 - [c120]Jonas Löhdefink, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces. ITSC 2020: 1-8 - [c119]Christopher Plachetka, Niels Maier, Jenny Fricke, Jan-Aike Termöhlen, Tim Fingscheidt:
Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles. IV 2020: 63-70 - [c118]Jasmin Breitenstein, Jan-Aike Termöhlen, Daniel Lipinski, Tim Fingscheidt:
Systematization of Corner Cases for Visual Perception in Automated Driving. IV 2020: 1257-1264 - [c117]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
Focussing Learned Image Compression to Semantic Classes for V2X Applications. IV 2020: 1641-1648 - [i15]Marvin Klingner, Andreas Bär, Tim Fingscheidt:
Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. CoRR abs/2004.11072 (2020) - [i14]Marvin Klingner, Andreas Bär, Philipp Donn, Tim Fingscheidt:
Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. CoRR abs/2005.06050 (2020) - [i13]Jonas Löhdefink, Justin Fehrling, Marvin Klingner, Fabian Hüger, Peter Schlicht, Nico M. Schmidt, Tim Fingscheidt:
Self-Supervised Domain Mismatch Estimation for Autonomous Perception. CoRR abs/2006.08613 (2020) - [i12]Marvin Klingner, Jan-Aike Termöhlen, Jonas Mikolajczyk, Tim Fingscheidt:
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. CoRR abs/2007.06936 (2020) - [i11]Antonia Breuer, Jan-Aike Termöhlen, Silviu Homoceanu, Tim Fingscheidt:
openDD: A Large-Scale Roundabout Drone Dataset. CoRR abs/2007.08463 (2020) - [i10]Varun Ravi Kumar, Marvin Klingner, Senthil Kumar Yogamani, Stefan Milz, Tim Fingscheidt, Patrick Maeder:
SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. CoRR abs/2008.04017 (2020) - [i9]Atiye Sadat Hashemi, Andreas Bär, Saeed Mozaffari, Tim Fingscheidt:
Transferable Universal Adversarial Perturbations Using Generative Models. CoRR abs/2010.14919 (2020) - [i8]Marvin Klingner, Jan-Aike Termöhlen, Jacob Ritterbach, Tim Fingscheidt:
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. CoRR abs/2011.08502 (2020) - [i7]Nikhil Kapoor, Chun Yuan, Jonas Löhdefink, Roland Zimmermann, Serin Varghese, Fabian Hüger, Nico M. Schmidt, Peter Schlicht, Tim Fingscheidt:
A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. CoRR abs/2012.01386 (2020) - [i6]Nikhil Kapoor, Andreas Bär, Serin Varghese, Jan David Schneider, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. CoRR abs/2012.01558 (2020)
2010 – 2019
- 2019
- [j20]Ziyue Zhao, Huijun Liu, Tim Fingscheidt:
Convolutional Neural Networks to Enhance Coded Speech. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 663-678 (2019) - [j19]Johannes Abel, Tim Fingscheidt:
Sinusoidal-Based Lowband Synthesis for Artificial Speech Bandwidth Extension. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 765-776 (2019) - [j18]Samy Elshamy, Tim Fingscheidt:
DNN-Based Cepstral Excitation Manipulation for Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 27(11): 1803-1814 (2019) - [c116]Timo Lohrenz, Maximilian Strake, Tim Fingscheidt:
On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition. ASRU 2019: 516-523 - [c115]Andreas Bär, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation. CVPR Workshops 2019: 1380-1388 - [c114]Jan-Aike Bolte, Markus Kamp, Antonia Breuer, Silviu Homoceanu, Peter Schlicht, Fabian Hüger, Daniel Lipinski, Tim Fingscheidt:
Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain. CVPR Workshops 2019: 1404-1413 - [c113]Ziyi Xu, Maximilian Strake, Tim Fingscheidt:
Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement. EUSIPCO 2019: 1-5 - [c112]Jan Franzen, Tim Fingscheidt:
Improved Measurement Noise Covariance Estimation for N-channel Feedback Cancellation Based on the Frequency Domain Adaptive Kalman Filter. ICASSP 2019: 965-969 - [c111]Christoph Brauer, Ziyue Zhao, Dirk A. Lorenz, Tim Fingscheidt:
Learning to Dequantize Speech Signals by Primal-dual Networks: an Approach for Acoustic Sensor Networks. ICASSP 2019: 7000-7004 - [c110]Antonia Breuer, Sven Elflein, Tim Joseph, Jan-Aike Bolte, Silviu Homoceanu, Tim Fingscheidt:
Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction. ITSC 2019: 2728-2735 - [c109]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. IV 2019: 424-431 - [c108]Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Towards Corner Case Detection for Autonomous Driving. IV 2019: 438-445 - [c107]Antonia Breuer, Jana Kirschner, Silviu Homoceanu, Tim Fingscheidt:
Towards Tactical Maneuver Detection for Autonomous Driving Based on Vision Only. IV 2019: 941-948 - [c106]Samy Elshamy, Tim Fingscheidt:
Improvement of Speech Residuals for Speech Enhancement. WASPAA 2019: 219-223 - [c105]Ziyue Zhao, Samy Elshamy, Tim Fingscheidt:
A Perceptual Weighting Filter Loss for DNN Training In Speech Enhancement. WASPAA 2019: 229-233 - [c104]Maximilian Strake, Bruno Defraene, Kristoff Fluyt, Wouter Tirry, Tim Fingscheidt:
Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages. WASPAA 2019: 239-243 - [i5]Jonas Löhdefink, Andreas Bär, Nico M. Schmidt, Fabian Hüger, Peter Schlicht, Tim Fingscheidt:
GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. CoRR abs/1902.04311 (2019) - [i4]Jan-Aike Bolte, Andreas Bär, Daniel Lipinski, Tim Fingscheidt:
Towards Corner Case Detection for Autonomous Driving. CoRR abs/1902.09184 (2019) - [i3]Ziyue Zhao, Samy Elshamy, Tim Fingscheidt:
A Perceptual Weighting Filter Loss for DNN Training in Speech Enhancement. CoRR abs/1905.09754 (2019) - [i2]Ziyi Xu, Samy Elshamy, Ziyue Zhao, Tim Fingscheidt:
Components Loss for Neural Networks in Mask-Based Speech Enhancement. CoRR abs/1908.05087 (2019) - 2018
- [j17]Johannes Abel, Tim Fingscheidt:
Artificial Speech Bandwidth Extension Using Deep Neural Networks for Wideband Spectral Envelope Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 26(1): 71-83 (2018) - [j16]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
DNN-Supported Speech Enhancement With Cepstral Estimation of Both Excitation and Envelope. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2460-2474 (2018) - [c103]Jan Franzen, Inka Meyer zum Alten Borgloh, Tim Fingscheidt:
On the Benefit of a Stereo Acoustic Echo Cancellation in an In-Car Communication System. ITG Symposium on Speech Communication 2018: 1-5 - [c102]Timo Lohrenz, Wei Li, Tim Fingscheidt:
DNN/CNN Acoustic Model Turbo Fusion for Phoneme Recognition. ITG Symposium on Speech Communication 2018: 1-5 - [c101]Ziyi Xu, Patrick Meyer, Tim Fingscheidt:
On the Effects of Speaker Gender in Emotion Recognition Training Data. ITG Symposium on Speech Communication 2018: 1-5 - [c100]Ziyue Zhao, Huijun Liu, Tim Fingscheidt:
Enhancement of G.711-Coded Speech Providing Quality Higher Than Uncoded. ITG Symposium on Speech Communication 2018: 1-5 - [c99]Ziyue Zhao, Huijun Liu, Tim Fingscheidt:
Nonlinear Prediction of Speech by Echo State Networks. EUSIPCO 2018: 2085-2089 - [c98]Jan Franzen, Tim Fingscheidt:
An Efficient Residual Echo Suppression for Multi-Channel Acoustic Echo Cancellation Based on the Frequency-Domain Adaptive Kalman Filter. ICASSP 2018: 226-230 - [c97]Ziyi Xu, Samy Elshamy, Tim Fingscheidt:
A Priori SNR Estimation Using Discriminative Non-Negative Matrix Factorization. ICASSP 2018: 661-665 - [c96]Johannes Abel, Maximilian Strake, Tim Fingscheidt:
A Simple Cepstral Domain DNN Approach to Artificial Speech Bandwidth Extension. ICASSP 2018: 5469-5473 - [c95]Patrick Meyer, Rolf Jongebloed, Tim Fingscheidt:
Multichannel Speaker Activity Detection for Meetings. ICASSP 2018: 5539-554 - [c94]Patrick Meyer, Eric Buschermöhle, Tim Fingscheidt:
What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets. INTERSPEECH 2018: 262-266 - [c93]Johannes Abel, Ernst Seidel, Tim Fingscheidt:
Enhancing the EVS Codec in Wideband Mode by Blind Artificial Bandwidth Extension to Superwideband. IWAENC 2018: 281-285 - [c92]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
A Priori SNR Computation for Speech Enhancement Based on Cepstral Envelope Estimation. IWAENC 2018: 351-355 - [c91]Ziyue Zhao, Samy Elshamy, Huijun Liu, Tim Fingscheidt:
A CNN Postprocessor to Enhance Coded Speech. IWAENC 2018: 406-410 - [c90]Maximilian Strake, Pascal Behr, Timo Lohrenz, Tim Fingscheidt:
Densenet Blstm for Acoustic Modeling in Robust ASR. SLT 2018: 6-12 - [c89]Timo Lohrenz, Wei Li, Tim Fingscheidt:
A New Timit Benchmark for Context-Independent Phone Recognition Using Turbo Fusion. SLT 2018: 498-505 - [i1]Ziyue Zhao, Huijun Liu, Tim Fingscheidt:
Convolutional Neural Networks to Enhance Coded Speech. CoRR abs/1806.09411 (2018) - 2017
- [j15]Johannes Abel, Magdalena Kaniewska, Cyril Guillaume, Wouter Tirry, Tim Fingscheidt:
An Instrumental Quality Measure for Artificially Bandwidth-Extended Speech Signals. IEEE ACM Trans. Audio Speech Lang. Process. 25(2): 384-396 (2017) - [j14]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation. IEEE ACM Trans. Audio Speech Lang. Process. 25(8): 1592-1605 (2017) - [c88]Timo Lohrenz, Tim Fingscheidt:
Turbo fusion of magnitude and phase information for DNN-based phoneme recognition. ASRU 2017: 118-125 - [c87]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
Two-stage speech enhancement with manipulation of the cepstral excitation. HSCMA 2017: 106-110 - [c86]Jan Franzen, Tim Fingscheidt:
A Delay-Flexible Stereo Acoustic Echo Cancellation for DFT-Based In-Car Communication (ICC) Systems. INTERSPEECH 2017: 181-185 - [c85]Johannes Abel, Tim Fingscheidt:
A DNN regression approach to speech enhancement by artificial bandwidth extension. WASPAA 2017: 219-223 - 2016
- [j13]Simon Receveur, Robin Weib, Tim Fingscheidt:
Turbo Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 24(5): 846-862 (2016) - [c84]Johannes Abel, Magdalena Kaniewska, Cyril Guillaume, Wouter Tirry, Tim Fingscheidt:
Objective Assessment of Artificial Speech Bandwidth Extension Approaches. ITG Symposium on Speech Communication 2016: 1-5 - [c83]Timo Lohrenz, Simon Receveur, Tim Fingscheidt:
EXIT Charts for Turbo Automatic Speech Recognition: A Case Study. ITG Symposium on Speech Communication 2016: 1-5 - [c82]Simon Receveur, Timo Lohrenz, Tim Fingscheidt:
Introducing Block-Wise Processing into Turbo Viterbi ASR. ITG Symposium on Speech Communication 2016: 1-5 - [c81]Ziyue Zhao, Sai Han, Tim Fingscheidt:
Improving Vector Quantization-Based Decoders for Correlated Processes in Error-Free Transmission. ITG Symposium on Speech Communication 2016: 1-5 - [c80]Antonio Kolossa, Johannes Abel, Tim Fingscheidt:
Evaluating instrumental measures of speech quality using Bayesian model selection: Correlations can be misleading! ICASSP 2016: 634-638 - [c79]Patrick Meyer, Tim Fingscheidt:
Soft linear discriminant analysis (SLDA) for pattern recognition with ambiguous reference labels: Application to social signal processing. ICASSP 2016: 5785-5789 - [c78]Johannes Abel, Magdalena Kaniewska, Cyril Guillaume, Wouter Tirry, Hannu Pulakka, Ville Myllylä, Jari Sjoberg, Paavo Alku, Itai Katsir, David Malah, Israel Cohen, M. A. Tugtekin Turan, Engin Erzin, Thomas Schlien, Peter Vary, Amr H. Nour-Eldin, Peter Kabal, Tim Fingscheidt:
A subjective listening test of six different artificial bandwidth extension approaches in English, Chinese, German, and Korean. ICASSP 2016: 5915-5919 - [c77]Domingo López-Oller, Sai Han, Angel M. Gomez, José Luis Pérez-Córdoba, Tim Fingscheidt:
System-compatible robustness improvement for new generation dect decoders by G.722 soft-decision decoding. ICASSP 2016: 5945-5949 - [c76]Johannes Abel, Maximilian Strake, Tim Fingscheidt:
Artificial bandwidth extension using deep neural networks for spectral envelope estimation. IWAENC 2016: 1-5 - 2015
- [j12]Balázs Fodor, Florian Pflug, Tim Fingscheidt:
Linking speech enhancement and error concealment based on recursive MMSE estimation. EURASIP J. Adv. Signal Process. 2015: 13 (2015) - [j11]Antonio Kolossa, Bruno Kopp, Tim Fingscheidt:
A computational analysis of the neural bases of Bayesian inference. NeuroImage 106: 222-237 (2015) - [j10]Ho Seon Shin, Tim Fingscheidt, Hong-Goo Kang:
A Priori SNR Estimation Using Air- and Bone-Conduction Microphones. IEEE ACM Trans. Audio Speech Lang. Process. 23(11): 2015-2025 (2015) - [c75]Sai Han, Tim Fingscheidt:
An improved adpcm decoder by adaptively controlled quantization interval centroids. EUSIPCO 2015: 335-339 - [c74]Peter Transfeld, Uwe Martens, Harald Binder, Thomas Schypior, Tim Fingscheidt:
Acoustic event source localization for surveillance in reverberant environments supported by an event onset detection. ICASSP 2015: 2629-2633 - [c73]Samy Elshamy, Nilesh Madhu, Wouter Tirry, Tim Fingscheidt:
An iterative speech model-based a priori SNR estimator. INTERSPEECH 2015: 1740-1744 - [c72]Peter Transfeld, Simon Receveur, Tim Fingscheidt:
An acoustic event detection framework and evaluation metric for surveillance in cars. INTERSPEECH 2015: 2927-2931 - 2014
- [c71]Sai Han, Tim Fingscheidt:
Scalar Quantization With Optimized Receiver-Sided Adaptive Codebook Reconstruction Levels Controlled by a Predictor. ITG Symposium on Speech Communication 2014: 1-4 - [c70]Patrick Meyer, Tim Fingscheidt:
A New Evaluation Methodology for Speech Emotion Recognition With Confidence Output. ITG Symposium on Speech Communication 2014: 1-4 - [c69]Simon Receveur, Robin Weiss, Tim Fingscheidt:
Multimodal ASR by Turbo Decoding vs. Feature Concatenation: Where to Perform Information Integration? ITG Symposium on Speech Communication 2014: 1-4 - [c68]Peter Transfeld, Simon Receveur, Tim Fingscheidt:
Towards Acoustic Event Detection for Surveillance in Cars. ITG Symposium on Speech Communication 2014: 1-4 - [c67]Sai Han, Tim Fingscheidt:
Improving scalar quantization for correlated processes using adaptive codebooks only at the receiver. EUSIPCO 2014: 386-390 - [c66]Patrick Bauer, Johannes Abel, Volker Fischer, Tim Fingscheidt:
Automatic recognition of wideband telephone speech with limited amount of matched training data. EUSIPCO 2014: 1232-1236 - [c65]Marc-André Jung, Samy Elshamy, Tim Fingscheidt:
An automotive wideband stereo acoustic echo canceler using frequency-domain adaptive filtering. EUSIPCO 2014: 1452-1456 - [c64]Sai Han, Tim Fingscheidt:
Variable-length versus fixed-length coding: On tradeoffs for soft-decision decoding. ICASSP 2014: 4269-4273 - [c63]Simon Receveur, Patrick Meyer, Tim Fingscheidt:
A compact formulation of turbo audio-visual speech recognition. ICASSP 2014: 5517-5521 - [c62]Patrick Bauer, Cyril Guillaume, Wouter Tirry, Tim Fingscheidt:
On speech quality assessment of artificial bandwidth extension. ICASSP 2014: 6082-6086 - [c61]Werner Pantke, Martin Dennhardt, Daniel Fecker, Volker Märgner, Tim Fingscheidt:
An Historical Handwritten Arabic Dataset for Segmentation-Free Word Spotting - HADARA80P. ICFHR 2014: 15-20 - [c60]Daniel Fecker, Abedelkadir Asi, Werner Pantke, Volker Märgner, Jihad El-Sana, Tim Fingscheidt:
Document Writer Analysis with Rejection for Historical Arabic Manuscripts. ICFHR 2014: 743-748 - [c59]Daniel Fecker, Abedelkadir Asi, Volker Märgner, Jihad El-Sana, Tim Fingscheidt:
Writer Identification for Historical Arabic Documents. ICPR 2014: 3050-3055 - [c58]Patrick Bauer, Johannes Abel, Tim Fingscheidt:
HMM-based artificial bandwidth extension supported by neural networks. IWAENC 2014: 1-5 - [c57]Simon Receveur, David Scheler, Tim Fingscheidt:
A Turbo-Decoding Weighted Forward-Backward Algorithm for Multimodal Speech Recognition. IWSDS 2014: 179-192 - [p1]Marc-André Jung, Tim Fingscheidt:
A Wideband Automotive Hands-Free System for Mobile HD Voice Services. Smart Mobile In-Vehicle Systems 2014: 81-96 - 2013
- [j9]Timo Matheja, Markus Buck, Tim Fingscheidt:
A dynamic multi-channel speech enhancement system for distributed microphones in a car environment. EURASIP J. Adv. Signal Process. 2013: 191 (2013) - [j8]Florian Pflug, Tim Fingscheidt:
Robust Ultra-Low Latency Soft-Decision Decoding of Linear PCM Audio. IEEE Trans. Speech Audio Process. 21(11): 2324-2336 (2013) - [c56]Daniel Fecker, Volker Märgner, Tim Fingscheidt:
Density-induced oversampling for highly imbalanced datasets. Image Processing: Machine Vision Applications 2013: 86610P - [c55]Sai Han, Florian Pflug, Tim Fingscheidt:
Improved amr wideband error concealment for mobile communications. EUSIPCO 2013: 1-5 - [c54]Florian Pflug, Tim Fingscheidt:
On the use of explicit redundancy for delayless soft-decision audio decoding. ICASSP 2013: 5118-5122 - [c53]Patrick Bauer, Jennifer Jones, Tim Fingscheidt:
Impact of hearing impairment on fricative intelligibility for artificially bandwidth-extended telephone speech in noise. ICASSP 2013: 7039-7043 - [c52]Marc-André Jung, Lucca Richter, Tim Fingscheidt:
Towards reproducible evaluation of automotive hands-free systems in dynamic conditions. ICASSP 2013: 8144-8148 - [c51]Werner Pantke, Volker Märgner, Tim Fingscheidt:
On Evaluation of Segmentation-Free Word Spotting Approaches without Hard Decisions. ICDAR 2013: 1300-1304 - [c50]Sebastian Möller, Emilia Kelaidi, Friedemann Köster, Nicolas Côté, Patrick Bauer, Tim Fingscheidt, Thomas Schlien, Hannu Pulakka, Paavo Alku:
Speech quality prediction for artificial bandwidth extension algorithms. INTERSPEECH 2013: 3439-3443 - 2012
- [c49]Patrick Bauer, Rosa-Linde Fischer, Martina Bellanova, Henning Puder, Tim Fingscheidt:
On Improving Telephone Speech Intelligibility for Hearing Impaired Persons. ITG Conference on Speech Communication 2012: 1-4 - [c48]Balázs Fodor, Tim Fingscheidt:
Comparison and Signal-Component-Wise Instrumental Evaluation of MMSE Log-Spectral Amplitude Estimation Under Speech Presence Uncertainty. ITG Conference on Speech Communication 2012: 1-4 - [c47]Balázs Fodor, Tim Fingscheidt:
Reference-free SNR Measurement for Narrowband and Wideband Speech Signals in Car Noise. ITG Conference on Speech Communication 2012: 1-4 - [c46]Timo Matheja, Markus Buck, Tim Fingscheidt:
A Multi-Channel Quality Assessment Setup Applied to a Distributed Microphone Speech Enhancement SystemWith Spectral Boosting. ITG Conference on Speech Communication 2012: 1-4 - [c45]Florian Pflug, Tim Fingscheidt:
NLMS-Supported Decoding of High-Quality Speech for Burst Channels. ITG Conference on Speech Communication 2012: 1-4 - [c44]David Scheler, Marc-André Jung, Tim Fingscheidt:
A Measurement Methodology for Automotive Teleconferencing. ITG Conference on Speech Communication 2012: 1-4 - [c43]David Scheler, Simon Walz, Tim Fingscheidt:
On Iterative Exchange of Soft State Information in Two-Channel Automatic Speech Recognition. ITG Conference on Speech Communication 2012: 1-4 - [c42]Ho Seon Shin, Hong-Goo Kang, Tim Fingscheidt:
Survey of Speech Enhancement Supported by a Bone Conduction Microphone. ITG Conference on Speech Communication 2012: 1-4 - [c41]Huajun Yu, Tim Fingscheidt:
A Beamformer Post-Filter with Hybrid Noise Coherence Functions Instrumentally Optimized Using a Figure of Merit. ITG Conference on Speech Communication 2012: 1-4 - [c40]Huajun Yu, Tim Fingscheidt:
A Weighted Log Kurtosis Ratio Measure for Instrumental Musical Tones Assessment in Wideband Speech. ITG Conference on Speech Communication 2012: 1-4 - [c39]Daniel Fecker, Volker Märgner, Tim Fingscheidt:
Training of Classifiers for Quality Control of On-Line Laser Brazing Processes with Highly Imbalanced Datasets. DAGM/OAGM Symposium 2012: 367-376 - [c38]Balázs Fodor, Tim Fingscheidt:
MMSE speech enhancement under speech presence uncertainty assuming (generalized) gamma speech priors throughout. ICASSP 2012: 4033-4036 - [c37]Huajun Yu, Tim Fingscheidt:
Black box measurement of musical tones produced by noise reduction systems. ICASSP 2012: 4573-4576 - [c36]Balázs Fodor, Tim Fingscheidt:
MMSE Log-Spectral Amplitude Estimation Under Speech Presence Uncertainty Using Generalized Γ Speech Priors. IWAENC 2012 - 2011
- [j7]Suhadi Suhadi, Carsten Last, Tim Fingscheidt:
A Data-Driven Approach to A Priori SNR Estimation. IEEE Trans. Speech Audio Process. 19(1): 186-195 (2011) - [j6]Christoph Voges, Tim Fingscheidt:
A Two-Dimensional Channel Model for Digital Data Storage on Microfilm. IEEE Trans. Commun. 59(8): 2046-2050 (2011) - [c35]Frithjof Hummes, Junge Qi, Tim Fingscheidt:
Robust acoustic speaker localization with distributed microphones. EUSIPCO 2011: 240-244 - [c34]Florian Pflug, Tim Fingscheidt:
Delayless soft-decision decoding of high-quality audio with adaptively shaped priors. EUSIPCO 2011: 2099-2103 - [c33]Balázs Fodor, Tim Fingscheidt:
MMSE speech spectral amplitude estimation assuming non-Gaussian noise. EUSIPCO 2011: 2314-2318 - [c32]Huajun Yu, Tim Fingscheidt:
A data-driven post-filter design based on spatially and temporally smoothed a priori SNR. ICASSP 2011: 137-140 - [c31]Florian Pflug, Tim Fingscheidt:
Delayless soft-decision decoding of high-quality audio transmitted over awgn channels. ICASSP 2011: 489-492 - [c30]Balázs Fodor, Tim Fingscheidt:
Speech enhancement using a joint map estimator with Gaussian mixture model for (non-)stationary noise. ICASSP 2011: 4768-4771 - [c29]Daniel Fecker, Volker Märgner, Tim Fingscheidt:
On-line Detection of Imperfections in Laser-brazed Joints. MVA 2011: 223-226 - 2010
- [c28]Patrick Bauer, Marc-André Jung, Tim Fingscheidt:
Investigations on Offline Artificial Bandwidth Extension of Telephone Speech Databases. Sprachkommunikation 2010: 1-4 - [c27]Patrick Bauer, David Scheler, Tim Fingscheidt:
WTIMIT: The TIMIT Speech Corpus Transmitted Over the 3G AMR Wideband Mobile Network. Sprachkommunikation 2010: 1-4 - [c26]Suhadi Suhadi, Carsten Last, Tim Fingscheidt:
A Priori SNR Estimation Using an Artificial Neural Network. Sprachkommunikation 2010: 1-4 - [c25]Huajun Yu, Tim Fingscheidt:
A New Hybrid Post-Filter using a Multichannel Decision-Directed Approach for A Priori SNR Estimation. Sprachkommunikation 2010: 1-4 - [c24]Florian Pflug, Christoph Voges, Tim Fingscheidt:
Performance Evaluation of Iterative Channel Codes for Digital Data Storage on Microfilm. GLOBECOM 2010: 1-5 - [c23]Patrick Bauer, David Scheler, Tim Fingscheidt:
WTIMIT: The TIMIT Speech Corpus Transmitted Over The 3G AMR Wideband Mobile Network. LREC 2010
2000 – 2009
- 2009
- [c22]Patrick Bauer, Tim Fingscheidt:
A statistical framework for artificial bandwidth extension exploiting speech waveform and phonetic transcription. EUSIPCO 2009: 1839-1843 - [c21]Panji Setiawan, Harald Höge, Tim Fingscheidt:
Entropy-based feature analysis for speech recognition. INTERSPEECH 2009: 2959-2962 - 2008
- [j5]Tim Fingscheidt, Suhadi Suhadi, Sorel Stan:
Environment-Optimized Speech Enhancement. IEEE Trans. Speech Audio Process. 16(4): 825-834 (2008) - [c20]Tim Fingscheidt, Suhadi Suhadi, Kai Steinert:
Towards objective quality assessment of speech enhancement systems in a black box approach. ICASSP 2008: 273-276 - [c19]Kai Steinert, Martin Schönle, Christophe Beaugeant, Tim Fingscheidt:
Hands-free system with low-delay subband acoustic echo control and noise reduction. ICASSP 2008: 1521-1524 - [c18]Patrick Bauer, Tim Fingscheidt:
An HMM-based artificial bandwidth extension evaluated by cross-language training and test. ICASSP 2008: 4589-4592 - 2007
- [j4]Thomas Hindelang, Marc Adrat, Tim Fingscheidt, Stefan Heinen:
Joint source and channel coding: from the beginning until the 'EXIT'. Eur. Trans. Telecommun. 18(8): 851-858 (2007) - [c17]Tim Fingscheidt, Suhadi Suhadi:
Quality assessment of speech enhancement systems by separation of enhanced speech, noise, and echo. INTERSPEECH 2007: 818-821 - [c16]Suhadi Suhadi, Tim Fingscheidt:
Speech enhancement with improved a posteriori SNR computation. INTERSPEECH 2007: 962-965 - [c15]Christoph Voges, Patrick Bauer, Tim Fingscheidt:
A Particle Filtering Algorithm for Audiovisual Speaker Localisation. WPNC 2007: 103-108 - 2006
- [c14]Suhadi Suhadi, Sorel Stan, Tim Fingscheidt:
A novel environment-dependent speech enhancement method with optimized memory footprint. INTERSPEECH 2006 - 2005
- [c13]Tim Fingscheidt, Christophe Beaugeant, Suhadi Suhadi:
Overcoming the Statistical Independence Assumption w.r.t. Frequency in Speech Enhancement. ICASSP (1) 2005: 1081-1084 - [c12]Panji Setiawan, Suhadi Suhadi, Tim Fingscheidt, Sorel Stan:
Robust speech recognition for mobile devices in car noise. INTERSPEECH 2005: 2673-2676 - 2004
- [c11]Radu Balan, Justinian Rosca, Christophe Beaugeant, Virginie Gilg, Tim Fingscheidt:
Generalized stochastic principle for microphone array speech enhancement and applications to car environments. EUSIPCO 2004: 2255-2258 - [c10]Panji Setiawan, Sorel Stan, Tim Fingscheidt:
Revisiting some model-based and data-driven denoising algorithms in Aurora 2 context. INTERSPEECH 2004: 145-148 - [c9]Suhadi, Stephan Grashey, Sorel Stan, Tim Fingscheidt:
Evaluation of a small-footprint text and language independent speaker recognition system on forensic data. Odyssey 2004: 117-122 - 2003
- [c8]Suhadi Suhadi, Sorel Stan, Tim Fingscheidt, Christophe Beaugeant:
An evaluation of VTS and IMM for speaker verification in noise. INTERSPEECH 2003: 1669-1672 - 2002
- [j3]Tim Fingscheidt, Thomas Hindelang, Richard V. Cox, Nambi Seshadri:
Joint source-channel (de-)coding for mobile communications. IEEE Trans. Commun. 50(2): 200-212 (2002) - [c7]Tim Fingscheidt, Stefanie Aalburg, Sorel Stan, Christophe Beaugeant:
Network-based vs. distributed speech recognition in adaptive multi-rate wireless systems. INTERSPEECH 2002: 2209-2212 - 2001
- [j2]Tim Fingscheidt, Peter Vary:
Softbit speech decoding: a new approach to error concealment. IEEE Trans. Speech Audio Process. 9(3): 240-251 (2001) - [c6]Christoph Erdmann, Peter Vary, Kyrill A. Fischer, Wen Xu, Matthias Marke, Tim Fingscheidt, Imre Varga, Markus Kaindl, Catherine Quinquis, Balázs Kövesi, Dominique Massaloux:
A candidate proposal for a 3GPP adaptive multi-rate wideband speech codec. ICASSP 2001: 757-760 - 2000
- [c5]Thomas Hindelang, Tim Fingscheidt, Nambi Seshadri, Richard V. Cox:
Combined Source/Channel (De-)Coding: Can a Priori Information be Used Twice?. ICC (3) 2000: 1208-1212
1990 – 1999
- 1999
- [j1]Peter Vary, Tim Fingscheidt:
Von der Soft-Decision-Kanaldecodierung zur Softbit-Sprachdecodierung. Informationstechnik Tech. Inform. 41(1): 19-24 (1999) - 1998
- [c4]Tim Fingscheidt, Peter Vary, Jesús A. Andonegui:
Robust speech decoding: can error concealment be better than error correction? ICASSP 1998: 373-376 - 1997
- [c3]Tim Fingscheidt, Peter Vary:
Robust speech decoding: a universal approach to bit error concealment. ICASSP 1997: 1667-1670 - [c2]Tim Fingscheidt, Olaf Scheufen:
Robust GSM speech decoding using the channel decoder's soft output. EUROSPEECH 1997: 1315-1318 - 1995
- [c1]Tim Fingscheidt, Thomas Wiechers, Eckhard Delfs:
Implementation aspects of the GSM half-rate speech codec. EUROSPEECH 1995: 723-726
Coauthor Index
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