Implementation aspects of the GSM half-rate speech codec. - Tim Fingscheidt; Thomas Wiechers; Eckhard Delfs (EUROSPEECH, 1995)

Robust speech decoding: a universal approach to bit error concealment. - Tim Fingscheidt; Peter Vary (ICASSP, 1997)

Robust GSM speech decoding using the channel decoder's soft output. - Tim Fingscheidt; Olaf Scheufen (EUROSPEECH, 1997)

Robust speech decoding: can error concealment be better than error correction? - Tim Fingscheidt; Peter Vary; Jesús A. Andonegui (ICASSP, 1998)

Von der Soft-Decision-Kanaldecodierung zur Softbit-Sprachdecodierung. - Peter Vary; Tim Fingscheidt (Informationstechnik Tech. Inform., 1999)

Combined Source/Channel (De-)Coding: Can a Priori Information be Used Twice?. - Thomas Hindelang; Tim Fingscheidt; Nambi Seshadri; Richard V. Cox (ICC (3), 2000)

A candidate proposal for a 3GPP adaptive multi-rate wideband speech codec. - Christoph Erdmann; Peter Vary; Kyrill A. Fischer; Wen Xu; Matthias Marke; Tim Fingscheidt; Imre Varga; Markus Kaindl; Catherine Quinquis; Balázs Kövesi; Dominique Massaloux (ICASSP, 2001)

Softbit speech decoding: a new approach to error concealment. - Tim Fingscheidt; Peter Vary (IEEE Trans. Speech Audio Process., 2001)

Network-based vs. distributed speech recognition in adaptive multi-rate wireless systems. - Tim Fingscheidt; Stefanie Aalburg; Sorel Stan; Christophe Beaugeant (INTERSPEECH, 2002)

Joint source-channel (de-)coding for mobile communications. - Tim Fingscheidt; Thomas Hindelang; Richard V. Cox; Nambi Seshadri (IEEE Trans. Commun., 2002)

An evaluation of VTS and IMM for speaker verification in noise. - Suhadi Suhadi; Sorel Stan; Tim Fingscheidt; Christophe Beaugeant (INTERSPEECH, 2003)

Generalized stochastic principle for microphone array speech enhancement and applications to car environments. - Radu Balan; Justinian Rosca; Christophe Beaugeant; Virginie Gilg; Tim Fingscheidt (EUSIPCO, 2004)

Revisiting some model-based and data-driven denoising algorithms in Aurora 2 context. - Panji Setiawan; Sorel Stan; Tim Fingscheidt (INTERSPEECH, 2004)

Evaluation of a small-footprint text and language independent speaker recognition system on forensic data. - Suhadi; Stephan Grashey; Sorel Stan; Tim Fingscheidt (Odyssey, 2004)

Overcoming the Statistical Independence Assumption w.r.t. Frequency in Speech Enhancement. - Tim Fingscheidt; Christophe Beaugeant; Suhadi Suhadi (ICASSP (1), 2005)

Robust speech recognition for mobile devices in car noise. - Panji Setiawan; Suhadi Suhadi; Tim Fingscheidt; Sorel Stan (INTERSPEECH, 2005)

A novel environment-dependent speech enhancement method with optimized memory footprint. - Suhadi Suhadi; Sorel Stan; Tim Fingscheidt (INTERSPEECH, 2006)

Quality assessment of speech enhancement systems by separation of enhanced speech, noise, and echo. - Tim Fingscheidt; Suhadi Suhadi (INTERSPEECH, 2007)

Speech enhancement with improved a posteriori SNR computation. - Suhadi Suhadi; Tim Fingscheidt (INTERSPEECH, 2007)

A Particle Filtering Algorithm for Audiovisual Speaker Localisation. - Christoph Voges; Patrick Bauer; Tim Fingscheidt (WPNC, 2007)

Joint source and channel coding: from the beginning until the 'EXIT'. - Thomas Hindelang; Marc Adrat; Tim Fingscheidt; Stefan Heinen (Eur. Trans. Telecommun., 2007)

An HMM-based artificial bandwidth extension evaluated by cross-language training and test. - Patrick Bauer; Tim Fingscheidt (ICASSP, 2008)

Towards objective quality assessment of speech enhancement systems in a black box approach. - Tim Fingscheidt; Suhadi Suhadi; Kai Steinert (ICASSP, 2008)

Hands-free system with low-delay subband acoustic echo control and noise reduction. - Kai Steinert; Martin Schönle; Christophe Beaugeant; Tim Fingscheidt (ICASSP, 2008)

Environment-Optimized Speech Enhancement. - Tim Fingscheidt; Suhadi Suhadi; Sorel Stan (IEEE Trans. Speech Audio Process., 2008)

A statistical framework for artificial bandwidth extension exploiting speech waveform and phonetic transcription. - Patrick Bauer; Tim Fingscheidt (EUSIPCO, 2009)

Entropy-based feature analysis for speech recognition. - Panji Setiawan; Harald Höge; Tim Fingscheidt (INTERSPEECH, 2009)

Investigations on Offline Artificial Bandwidth Extension of Telephone Speech Databases. - Patrick Bauer; Marc-André Jung; Tim Fingscheidt (Sprachkommunikation, 2010)

WTIMIT: The TIMIT Speech Corpus Transmitted Over the 3G AMR Wideband Mobile Network. - Patrick Bauer; David Scheler; Tim Fingscheidt (Sprachkommunikation, 2010)

A Priori SNR Estimation Using an Artificial Neural Network. - Suhadi Suhadi; Carsten Last; Tim Fingscheidt (Sprachkommunikation, 2010)

A New Hybrid Post-Filter using a Multichannel Decision-Directed Approach for A Priori SNR Estimation. - Huajun Yu; Tim Fingscheidt (Sprachkommunikation, 2010)

Performance Evaluation of Iterative Channel Codes for Digital Data Storage on Microfilm. - Florian Pflug; Christoph Voges; Tim Fingscheidt (GLOBECOM, 2010)

MMSE speech spectral amplitude estimation assuming non-Gaussian noise. - Balázs Fodor; Tim Fingscheidt (EUSIPCO, 2011)

Robust acoustic speaker localization with distributed microphones. - Frithjof Hummes; Junge Qi; Tim Fingscheidt (EUSIPCO, 2011)

Delayless soft-decision decoding of high-quality audio with adaptively shaped priors. - Florian Pflug; Tim Fingscheidt (EUSIPCO, 2011)

Speech enhancement using a joint map estimator with Gaussian mixture model for (non-)stationary noise. - Balázs Fodor; Tim Fingscheidt (ICASSP, 2011)

Delayless soft-decision decoding of high-quality audio transmitted over awgn channels. - Florian Pflug; Tim Fingscheidt (ICASSP, 2011)

A data-driven post-filter design based on spatially and temporally smoothed a priori SNR. - Huajun Yu; Tim Fingscheidt (ICASSP, 2011)

On-line Detection of Imperfections in Laser-brazed Joints. - Daniel Fecker; Volker Märgner; Tim Fingscheidt (MVA, 2011)

A Data-Driven Approach to A Priori SNR Estimation. - Suhadi Suhadi; Carsten Last; Tim Fingscheidt (IEEE Trans. Speech Audio Process., 2011)

A Two-Dimensional Channel Model for Digital Data Storage on Microfilm. - Christoph Voges; Tim Fingscheidt (IEEE Trans. Commun., 2011)

On Improving Telephone Speech Intelligibility for Hearing Impaired Persons. - Patrick Bauer; Rosa-Linde Fischer; Martina Bellanova; Henning Puder; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

Comparison and Signal-Component-Wise Instrumental Evaluation of MMSE Log-Spectral Amplitude Estimation Under Speech Presence Uncertainty. - Balázs Fodor; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

Reference-free SNR Measurement for Narrowband and Wideband Speech Signals in Car Noise. - Balázs Fodor; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

A Multi-Channel Quality Assessment Setup Applied to a Distributed Microphone Speech Enhancement SystemWith Spectral Boosting. - Timo Matheja; Markus Buck; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

NLMS-Supported Decoding of High-Quality Speech for Burst Channels. - Florian Pflug; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

A Measurement Methodology for Automotive Teleconferencing. - David Scheler; Marc-André Jung; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

On Iterative Exchange of Soft State Information in Two-Channel Automatic Speech Recognition. - David Scheler; Simon Walz; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

Survey of Speech Enhancement Supported by a Bone Conduction Microphone. - Ho Seon Shin; Hong-Goo Kang; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

A Beamformer Post-Filter with Hybrid Noise Coherence Functions Instrumentally Optimized Using a Figure of Merit. - Huajun Yu; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

A Weighted Log Kurtosis Ratio Measure for Instrumental Musical Tones Assessment in Wideband Speech. - Huajun Yu; Tim Fingscheidt (ITG Conference on Speech Communication, 2012)

Training of Classifiers for Quality Control of On-Line Laser Brazing Processes with Highly Imbalanced Datasets. - Daniel Fecker; Volker Märgner; Tim Fingscheidt (DAGM/OAGM Symposium, 2012)

MMSE speech enhancement under speech presence uncertainty assuming (generalized) gamma speech priors throughout. - Balázs Fodor; Tim Fingscheidt (ICASSP, 2012)

Black box measurement of musical tones produced by noise reduction systems. - Huajun Yu; Tim Fingscheidt (ICASSP, 2012)

MMSE Log-Spectral Amplitude Estimation Under Speech Presence Uncertainty Using Generalized Γ Speech Priors. - Balázs Fodor; Tim Fingscheidt (IWAENC, 2012)

Density-induced oversampling for highly imbalanced datasets. - Daniel Fecker; Volker Märgner; Tim Fingscheidt (Image Processing: Machine Vision Applications, 2013)

Improved amr wideband error concealment for mobile communications. - Sai Han; Florian Pflug; Tim Fingscheidt (EUSIPCO, 2013)

Impact of hearing impairment on fricative intelligibility for artificially bandwidth-extended telephone speech in noise. - Patrick Bauer; Jennifer Jones; Tim Fingscheidt (ICASSP, 2013)

Towards reproducible evaluation of automotive hands-free systems in dynamic conditions. - Marc-André Jung; Lucca Richter; Tim Fingscheidt (ICASSP, 2013)

On the use of explicit redundancy for delayless soft-decision audio decoding. - Florian Pflug; Tim Fingscheidt (ICASSP, 2013)

On Evaluation of Segmentation-Free Word Spotting Approaches without Hard Decisions. - Werner Pantke; Volker Märgner; Tim Fingscheidt (ICDAR, 2013)

Speech quality prediction for artificial bandwidth extension algorithms. - Sebastian Möller 001; Emilia Kelaidi; Friedemann Köster; Nicolas Côté; Patrick Bauer; Tim Fingscheidt; Thomas Schlien; Hannu Pulakka; Paavo Alku (INTERSPEECH, 2013)

A dynamic multi-channel speech enhancement system for distributed microphones in a car environment. - Timo Matheja; Markus Buck; Tim Fingscheidt (EURASIP J. Adv. Signal Process., 2013)

Robust Ultra-Low Latency Soft-Decision Decoding of Linear PCM Audio. - Florian Pflug; Tim Fingscheidt (IEEE Trans. Speech Audio Process., 2013)

A Wideband Automotive Hands-Free System for Mobile HD Voice Services. - Marc-André Jung; Tim Fingscheidt (Smart Mobile In-Vehicle Systems, 2014)

Scalar Quantization With Optimized Receiver-Sided Adaptive Codebook Reconstruction Levels Controlled by a Predictor. - Sai Han; Tim Fingscheidt (ITG Symposium on Speech Communication, 2014)

A New Evaluation Methodology for Speech Emotion Recognition With Confidence Output. - Patrick Meyer; Tim Fingscheidt (ITG Symposium on Speech Communication, 2014)

Multimodal ASR by Turbo Decoding vs. Feature Concatenation: Where to Perform Information Integration? - Simon Receveur; Robin Weiss; Tim Fingscheidt (ITG Symposium on Speech Communication, 2014)

Towards Acoustic Event Detection for Surveillance in Cars. - Peter Transfeld; Simon Receveur; Tim Fingscheidt (ITG Symposium on Speech Communication, 2014)

Automatic recognition of wideband telephone speech with limited amount of matched training data. - Patrick Bauer; Johannes Abel; Volker Fischer 002; Tim Fingscheidt (EUSIPCO, 2014)

Improving scalar quantization for correlated processes using adaptive codebooks only at the receiver. - Sai Han; Tim Fingscheidt (EUSIPCO, 2014)

An automotive wideband stereo acoustic echo canceler using frequency-domain adaptive filtering. - Marc-André Jung; Samy Elshamy; Tim Fingscheidt (EUSIPCO, 2014)

On speech quality assessment of artificial bandwidth extension. - Patrick Bauer; Cyril Guillaume; Wouter Tirry; Tim Fingscheidt (ICASSP, 2014)

Variable-length versus fixed-length coding: On tradeoffs for soft-decision decoding. - Sai Han; Tim Fingscheidt (ICASSP, 2014)

A compact formulation of turbo audio-visual speech recognition. - Simon Receveur; Patrick Meyer; Tim Fingscheidt (ICASSP, 2014)

Document Writer Analysis with Rejection for Historical Arabic Manuscripts. - Daniel Fecker; Abedelkadir Asi; Werner Pantke; Volker Märgner; Jihad El-Sana; Tim Fingscheidt (ICFHR, 2014)

An Historical Handwritten Arabic Dataset for Segmentation-Free Word Spotting - HADARA80P. - Werner Pantke; Martin Dennhardt; Daniel Fecker; Volker Märgner; Tim Fingscheidt (ICFHR, 2014)

Writer Identification for Historical Arabic Documents. - Daniel Fecker; Abedelkadir Asi; Volker Märgner; Jihad El-Sana; Tim Fingscheidt (ICPR, 2014)

HMM-based artificial bandwidth extension supported by neural networks. - Patrick Bauer; Johannes Abel; Tim Fingscheidt (IWAENC, 2014)

A Turbo-Decoding Weighted Forward-Backward Algorithm for Multimodal Speech Recognition. - Simon Receveur; David Scheler; Tim Fingscheidt (IWSDS, 2014)

An improved adpcm decoder by adaptively controlled quantization interval centroids. - Sai Han; Tim Fingscheidt (EUSIPCO, 2015)

Acoustic event source localization for surveillance in reverberant environments supported by an event onset detection. - Peter Transfeld; Uwe Martens; Harald Binder; Thomas Schypior; Tim Fingscheidt (ICASSP, 2015)

An iterative speech model-based a priori SNR estimator. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2015)

An acoustic event detection framework and evaluation metric for surveillance in cars. - Peter Transfeld; Simon Receveur; Tim Fingscheidt (INTERSPEECH, 2015)

Linking speech enhancement and error concealment based on recursive MMSE estimation. - Balázs Fodor; Florian Pflug; Tim Fingscheidt (EURASIP J. Adv. Signal Process., 2015)

A computational analysis of the neural bases of Bayesian inference. - Antonio Kolossa; Bruno Kopp; Tim Fingscheidt (NeuroImage, 2015)

A Priori SNR Estimation Using Air- and Bone-Conduction Microphones. - Ho Seon Shin; Tim Fingscheidt; Hong-Goo Kang (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Objective Assessment of Artificial Speech Bandwidth Extension Approaches. - Johannes Abel; Magdalena Kaniewska; Cyril Guillaume; Wouter Tirry; Tim Fingscheidt (ITG Symposium on Speech Communication, 2016)

EXIT Charts for Turbo Automatic Speech Recognition: A Case Study. - Timo Lohrenz; Simon Receveur; Tim Fingscheidt (ITG Symposium on Speech Communication, 2016)

Introducing Block-Wise Processing into Turbo Viterbi ASR. - Simon Receveur; Timo Lohrenz; Tim Fingscheidt (ITG Symposium on Speech Communication, 2016)

Improving Vector Quantization-Based Decoders for Correlated Processes in Error-Free Transmission. - Ziyue Zhao; Sai Han; Tim Fingscheidt (ITG Symposium on Speech Communication, 2016)

A subjective listening test of six different artificial bandwidth extension approaches in English, Chinese, German, and Korean. - 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; et al. (ICASSP, 2016)

Evaluating instrumental measures of speech quality using Bayesian model selection: Correlations can be misleading! - Antonio Kolossa; Johannes Abel; Tim Fingscheidt (ICASSP, 2016)

System-compatible robustness improvement for new generation dect decoders by G.722 soft-decision decoding. - Domingo López-Oller; Sai Han; Angel M. Gomez; José Luis Pérez-Córdoba; Tim Fingscheidt (ICASSP, 2016)

Soft linear discriminant analysis (SLDA) for pattern recognition with ambiguous reference labels: Application to social signal processing. - Patrick Meyer; Tim Fingscheidt (ICASSP, 2016)

Artificial bandwidth extension using deep neural networks for spectral envelope estimation. - Johannes Abel; Maximilian Strake; Tim Fingscheidt (IWAENC, 2016)

Turbo Automatic Speech Recognition. - Simon Receveur; Robin Weib; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Turbo fusion of magnitude and phase information for DNN-based phoneme recognition. - Timo Lohrenz; Tim Fingscheidt (ASRU, 2017)

Two-stage speech enhancement with manipulation of the cepstral excitation. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (HSCMA, 2017)

A Delay-Flexible Stereo Acoustic Echo Cancellation for DFT-Based In-Car Communication (ICC) Systems. - Jan Franzen; Tim Fingscheidt (INTERSPEECH, 2017)

A DNN regression approach to speech enhancement by artificial bandwidth extension. - Johannes Abel; Tim Fingscheidt (WASPAA, 2017)

An Instrumental Quality Measure for Artificially Bandwidth-Extended Speech Signals. - Johannes Abel; Magdalena Kaniewska; Cyril Guillaume; Wouter Tirry; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

Instantaneous A Priori SNR Estimation by Cepstral Excitation Manipulation. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2017)

On the Benefit of a Stereo Acoustic Echo Cancellation in an In-Car Communication System. - Jan Franzen; Inka Meyer zum Alten Borgloh; Tim Fingscheidt (ITG Symposium on Speech Communication, 2018)

DNN/CNN Acoustic Model Turbo Fusion for Phoneme Recognition. - Timo Lohrenz; Wei Li 174; Tim Fingscheidt (ITG Symposium on Speech Communication, 2018)

On the Effects of Speaker Gender in Emotion Recognition Training Data. - Ziyi Xu; Patrick Meyer; Tim Fingscheidt (ITG Symposium on Speech Communication, 2018)

Enhancement of G.711-Coded Speech Providing Quality Higher Than Uncoded. - Ziyue Zhao; Huijun Liu 001; Tim Fingscheidt (ITG Symposium on Speech Communication, 2018)

Nonlinear Prediction of Speech by Echo State Networks. - Ziyue Zhao; Huijun Liu 001; Tim Fingscheidt (EUSIPCO, 2018)

A Simple Cepstral Domain DNN Approach to Artificial Speech Bandwidth Extension. - Johannes Abel; Maximilian Strake; Tim Fingscheidt (ICASSP, 2018)

An Efficient Residual Echo Suppression for Multi-Channel Acoustic Echo Cancellation Based on the Frequency-Domain Adaptive Kalman Filter. - Jan Franzen; Tim Fingscheidt (ICASSP, 2018)

Multichannel Speaker Activity Detection for Meetings. - Patrick Meyer; Rolf Jongebloed; Tim Fingscheidt (ICASSP, 2018)

A Priori SNR Estimation Using Discriminative Non-Negative Matrix Factorization. - Ziyi Xu; Samy Elshamy; Tim Fingscheidt (ICASSP, 2018)

What Do Classifiers Actually Learn? a Case Study on Emotion Recognition Datasets. - Patrick Meyer; Eric Buschermöhle; Tim Fingscheidt (INTERSPEECH, 2018)

Enhancing the EVS Codec in Wideband Mode by Blind Artificial Bandwidth Extension to Superwideband. - Johannes Abel; Ernst Seidel; Tim Fingscheidt (IWAENC, 2018)

A Priori SNR Computation for Speech Enhancement Based on Cepstral Envelope Estimation. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (IWAENC, 2018)

A CNN Postprocessor to Enhance Coded Speech. - Ziyue Zhao; Samy Elshamy; Huijun Liu 001; Tim Fingscheidt (IWAENC, 2018)

A New Timit Benchmark for Context-Independent Phone Recognition Using Turbo Fusion. - Timo Lohrenz; Wei Li 174; Tim Fingscheidt (SLT, 2018)

Densenet Blstm for Acoustic Modeling in Robust ASR. - Maximilian Strake; Pascal Behr; Timo Lohrenz; Tim Fingscheidt (SLT, 2018)

Artificial Speech Bandwidth Extension Using Deep Neural Networks for Wideband Spectral Envelope Estimation. - Johannes Abel; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

DNN-Supported Speech Enhancement With Cepstral Estimation of Both Excitation and Envelope. - Samy Elshamy; Nilesh Madhu; Wouter Tirry; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

On Temporal Context Information for Hybrid BLSTM-Based Phoneme Recognition. - Timo Lohrenz; Maximilian Strake; Tim Fingscheidt (ASRU, 2019)

On the Robustness of Redundant Teacher-Student Frameworks for Semantic Segmentation. - Andreas Bär; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2019)

Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain. - Jan-Aike Bolte; Markus Kamp; Antonia Breuer; Silviu Homoceanu; Peter Schlicht; Fabian Hüger; Daniel Lipinski; Tim Fingscheidt (CVPR Workshops, 2019)

Concatenated Identical DNN (CI-DNN) to Reduce Noise-Type Dependence in DNN-Based Speech Enhancement. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (EUSIPCO, 2019)

Learning to Dequantize Speech Signals by Primal-dual Networks: an Approach for Acoustic Sensor Networks. - Christoph Brauer; Ziyue Zhao; Dirk A. Lorenz; Tim Fingscheidt (ICASSP, 2019)

Improved Measurement Noise Covariance Estimation for N-channel Feedback Cancellation Based on the Frequency Domain Adaptive Kalman Filter. - Jan Franzen; Tim Fingscheidt (ICASSP, 2019)

Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction. - Antonia Breuer; Sven Elflein; Tim Joseph; Jan-Aike Bolte; Silviu Homoceanu; Tim Fingscheidt (ITSC, 2019)

Towards Corner Case Detection for Autonomous Driving. - Jan-Aike Bolte; Andreas Bär; Daniel Lipinski; Tim Fingscheidt (IV, 2019)

Towards Tactical Maneuver Detection for Autonomous Driving Based on Vision Only. - Antonia Breuer; Jana Kirschner; Silviu Homoceanu; Tim Fingscheidt (IV, 2019)

On Low-Bitrate Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. - Jonas Löhdefink; Andreas Bär; Nico M. Schmidt; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IV, 2019)

Improvement of Speech Residuals for Speech Enhancement. - Samy Elshamy; Tim Fingscheidt (WASPAA, 2019)

Separated Noise Suppression and Speech Restoration: Lstm-Based Speech Enhancement in Two Stages. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (WASPAA, 2019)

A Perceptual Weighting Filter Loss for DNN Training In Speech Enhancement. - Ziyue Zhao; Samy Elshamy; Tim Fingscheidt (WASPAA, 2019)

GAN- vs. JPEG2000 Image Compression for Distributed Automotive Perception: Higher Peak SNR Does Not Mean Better Semantic Segmentation. - Jonas Löhdefink; Andreas Bär; Nico M. Schmidt; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CoRR, 2019)

Sinusoidal-Based Lowband Synthesis for Artificial Speech Bandwidth Extension. - Johannes Abel; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

DNN-Based Cepstral Excitation Manipulation for Speech Enhancement. - Samy Elshamy; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

Convolutional Neural Networks to Enhance Coded Speech. - Ziyue Zhao; Huijun Liu 001; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2019)

A Self-Supervised Feature Map Augmentation (FMA) Loss and Combined Augmentations Finetuning to Efficiently Improve the Robustness of CNNs. - Nikhil Kapoor; Chun Yuan; Jonas Löhdefink; Roland Zimmermann 002; Serin Varghese; Fabian Hüger; Nico M. Schmidt; Peter Schlicht; Tim Fingscheidt (CSCS, 2020)

Robust Semantic Segmentation by Redundant Networks With a Layer-Specific Loss Contribution and Majority Vote. - Andreas Bär; Marvin Klingner; Serin Varghese; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2020)

Improved Noise and Attack Robustness for Semantic Segmentation by Using Multi-Task Training with Self-Supervised Depth Estimation. - Marvin Klingner; Andreas Bär; Tim Fingscheidt (CVPR Workshops, 2020)

Self-Supervised Domain Mismatch Estimation for Autonomous Perception. - Jonas Löhdefink; Justin Fehrling; Marvin Klingner; Fabian Hüger; Peter Schlicht; Nico M. Schmidt; Tim Fingscheidt (CVPR Workshops, 2020)

Unsupervised Temporal Consistency Metric for Video Segmentation in Highly-Automated Driving. - Serin Varghese; Yasin Bayzidi; Andreas Bär; Nikhil Kapoor; Sounak Lahiri; Jan David Schneider; Nico M. Schmidt; Peter Schlicht; Fabian Hüger; Tim Fingscheidt (CVPR Workshops, 2020)

Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. - Marvin Klingner; Jan-Aike Termöhlen; Jonas Mikolajczyk; Tim Fingscheidt (ECCV (20), 2020)

Multichannel Acoustic Echo Cancellation Applied to Microphone Leakage Reduction in Meetings. - Patrick Meyer; Samy Elshamy; Jan Franzen; Tim Fingscheidt (EUSIPCO, 2020)

Beyond the Dcase 2017 Challenge on Rare Sound Event Detection: A Proposal for a More Realistic Training and Test Framework. - Jan Baumann; Timo Lohrenz; Alexander Roy; Tim Fingscheidt (ICASSP, 2020)

A Multichannel Kalman-Based Wiener Filter Approach for Speaker Interference Reduction in Meetings. - Patrick Meyer; Samy Elshamy; Tim Fingscheidt (ICASSP, 2020)

Fully Convolutional Recurrent Networks for Speech Enhancement. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (ICASSP, 2020)

Using Separate Losses for Speech and Noise in Mask-Based Speech Enhancement. - Ziyi Xu; Samy Elshamy; Tim Fingscheidt (ICASSP, 2020)

BLSTM-Driven Stream Fusion for Automatic Speech Recognition: Novel Methods and a Multi-Size Window Fusion Example. - Timo Lohrenz; Tim Fingscheidt (INTERSPEECH, 2020)

INTERSPEECH 2020 Deep Noise Suppression Challenge: A Fully Convolutional Recurrent Network (FCRN) for Joint Dereverberation and Denoising. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2020)

openDD: A Large-Scale Roundabout Drone Dataset. - Antonia Breuer; Jan-Aike Termöhlen; Silviu Homoceanu; Tim Fingscheidt (ITSC, 2020)

Class-Incremental Learning for Semantic Segmentation Re-Using Neither Old Data Nor Old Labels. - Marvin Klingner; Andreas Bär; Philipp Donn; Tim Fingscheidt (ITSC, 2020)

Scalar and Vector Quantization for Learned Image Compression: A Study on the Effects of MSE and GAN Loss in Various Spaces. - Jonas Löhdefink; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (ITSC, 2020)

Systematization of Corner Cases for Visual Perception in Automated Driving. - Jasmin Breitenstein; Jan-Aike Termöhlen; Daniel Lipinski; Tim Fingscheidt (IV, 2020)

Focussing Learned Image Compression to Semantic Classes for V2X Applications. - Jonas Löhdefink; Andreas Bär; Nico M. Schmidt; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IV, 2020)

Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles. - Christopher Plachetka; Niels Maier; Jenny Fricke; Jan-Aike Termöhlen; Tim Fingscheidt (IV, 2020)

Transferable Universal Adversarial Perturbations Using Generative Models. - Atiye Sadat Hashemi; Andreas Bär; Saeed Mozaffari; Tim Fingscheidt (CoRR, 2020)

Multichannel speaker interference reduction using frequency domain adaptive filtering. - Patrick Meyer; Samy Elshamy; Tim Fingscheidt (EURASIP J. Audio Speech Music. Process., 2020)

Speech enhancement by LSTM-based noise suppression followed by CNN-based speech restoration. - Maximilian Strake; Bruno Defraene; Kristoff Fluyt; Wouter Tirry; Tim Fingscheidt (EURASIP J. Adv. Signal Process., 2020)

Multi-Head Fusion Attention for Transformer-Based End-to-End Automatic Speech Recognition. - Timo Lohrenz; Patrick Schwarz; Zhengyang Li; Tim Fingscheidt (ITG Conference on Speech Communication, 2021)

Relaxed Attention: A Simple Method to Boost Performance of End-to-End Automatic Speech Recognition. - Timo Lohrenz; Patrick Schwarz; Zhengyang Li; Tim Fingscheidt (ASRU, 2021)

Improving Online Performance Prediction for Semantic Segmentation. - Marvin Klingner; Andreas Bär; Marcel Mross; Tim Fingscheidt (CVPR Workshops, 2021)

An Unsupervised Temporal Consistency (TC) Loss To Improve the Performance of Semantic Segmentation Networks. - Serin Varghese; Sharat Gujamagadi; Marvin Klingner; Nikhil Kapoor; Andreas Bär; Jan David Schneider; Kira Maag; Peter Schlicht; Fabian Hüger; Tim Fingscheidt (CVPR Workshops, 2021)

A New DCASE 2017 Rare Sound Event Detection Benchmark Under Equal Training Data: CRNN With Multi-Width Kernels. - Jan Baumann; Patrick Meyer; Timo Lohrenz; Alexander Roy; Michael Papendieck; Tim Fingscheidt (ICASSP, 2021)

AEC in A Netshell: on Target and Topology Choices for FCRN Acoustic Echo Cancellation. - Jan Franzen; Ernst Seidel; Tim Fingscheidt (ICASSP, 2021)

Description of Corner Cases in Automated Driving: Goals and Challenges. - Daniel Bogdoll; Jasmin Breitenstein; Florian Heidecker; Maarten Bieshaar; Bernhard Sick; Tim Fingscheidt; J. Marius Zöllner (ICCVW, 2021)

From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation. - Nikhil Kapoor; Andreas Bär; Serin Varghese; Jan David Schneider; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IJCNN, 2021)

Multi-Encoder Learning and Stream Fusion for Transformer-Based End-to-End Automatic Speech Recognition. - Timo Lohrenz; Zhengyang Li; Tim Fingscheidt (Interspeech, 2021)

Y2-Net FCRN for Acoustic Echo and Noise Suppression. - Ernst Seidel; Jan Franzen; Maximilian Strake; Tim Fingscheidt (Interspeech, 2021)

Deep Noise Suppression with Non-Intrusive PESQNet Supervision Enabling the Use of Real Training Data. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (Interspeech, 2021)

Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving. - Antonia Breuer; Quy Le Xuan; Jan-Aike Termöhlen; Silviu Homoceanu; Tim Fingscheidt (ITSC, 2021)

DNN-Based Recognition of Pole-Like Objects in LiDAR Point Clouds. - Christopher Plachetka; Jenny Fricke; Marvin Klingner; Tim Fingscheidt (ITSC, 2021)

Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer. - Jan-Aike Termöhlen; Marvin Klingner; Leon J. Brettin; Nico M. Schmidt; Tim Fingscheidt (ITSC, 2021)

Detection of Collective Anomalies in Images for Automated Driving Using an Earth Mover's Deviation (EMDEV) Measure. - Jasmin Breitenstein; Andreas Bär; Daniel Lipinski; Tim Fingscheidt (IV Workshops, 2021)

An Application-Driven Conceptualization of Corner Cases for Perception in Highly Automated Driving. - Florian Heidecker; Jasmin Breitenstein; Kevin Rösch; Jonas Löhdefink; Maarten Bieshaar; Christoph Stiller; Tim Fingscheidt; Bernhard Sick (IV, 2021)

Improving Convolutional Recurrent Neural Networks for Speech Emotion Recognition. - Patrick Meyer; Ziyi Xu; Tim Fingscheidt (SLT, 2021)

SynDistNet: Self-Supervised Monocular Fisheye Camera Distance Estimation Synergized with Semantic Segmentation for Autonomous Driving. - Varun Ravi Kumar; Marvin Klingner; Senthil Kumar Yogamani; Stefan Milz; Tim Fingscheidt; Patrick Mäder (WACV, 2021)

Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches. - Jasmin Breitenstein; Jan-Aike Termöhlen; Daniel Lipinski; Tim Fingscheidt (CoRR, 2021)

Y$^2$-Net FCRN for Acoustic Echo and Noise Suppression. - Ernst Seidel; Jan Franzen; Maximilian Strake; Tim Fingscheidt (CoRR, 2021)

Inspect, Understand, Overcome: A Survey of Practical Methods for AI Safety. - 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; et al. (CoRR, 2021)

Components loss for neural networks in mask-based speech enhancement. - Ziyi Xu; Samy Elshamy; Ziyue Zhao; Tim Fingscheidt (EURASIP J. Audio Speech Music. Process., 2021)

The Vulnerability of Semantic Segmentation Networks to Adversarial Attacks in Autonomous Driving: Enhancing Extensive Environment Sensing. - Andreas Bär; Jonas Löhdefink; Nikhil Kapoor; Serin Varghese; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (IEEE Signal Process. Mag., 2021)

Online Performance Prediction of Perception DNNs by Multi-Task Learning With Depth Estimation. - Marvin Klingner; Tim Fingscheidt (IEEE Trans. Intell. Transp. Syst., 2021)

Performance Prediction for Semantic Segmentation by a Self-Supervised Image Reconstruction Decoder. - Andreas Bär; Marvin Klingner; Jonas Löhdefink; Fabian Hüger; Peter Schlicht; Tim Fingscheidt (CVPR Workshops, 2022)

On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. - Marvin Klingner; Konstantin Müller; Mona Mirzaie; Jasmin Breitenstein; Jan-Aike Termöhlen; Tim Fingscheidt (CVPR Workshops, 2022)

Adaptive Bitrate Quantization Scheme Without Codebook for Learned Image Compression. - Jonas Löhdefink; Jonas Sitzmann; Andreas Bär; Tim Fingscheidt (CVPR Workshops, 2022)

Joint Prediction of Amodal and Visible Semantic Segmentation for Automated Driving. - Jasmin Breitenstein; Jonas Löhdefink; Tim Fingscheidt (ECCV Workshops (1), 2022)

Deep Residual Echo Suppression and Noise Reduction: A Multi-Input FCRN Approach in a Hybrid Speech Enhancement System. - Jan Franzen; Tim Fingscheidt (ICASSP, 2022)

Detecting Adversarial Perturbations in Multi-Task Perception. - Marvin Klingner; Varun Ravi Kumar; Senthil Kumar Yogamani; Andreas Bär; Tim Fingscheidt (IROS, 2022)

3DHD CityScenes: High-Definition Maps in High-Density Point Clouds. - Christopher Plachetka; Benjamin Sertolli; Jenny Fricke; Marvin Klingner; Tim Fingscheidt (ITSC, 2022)

Amodal Cityscapes: A New Dataset, its Generation, and an Amodal Semantic Segmentation Challenge Baseline. - Jasmin Breitenstein; Tim Fingscheidt (IV, 2022)

Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering. - Ernst Seidel; Rasmus Kongsgaard Olsson; Karim Haddad; Zhengyang Li; Pejman Mowlaee; Tim Fingscheidt (IWAENC, 2022)

Self-Attention With Restricted Time Context And Resolution In Dnn Speech Enhancement. - Maximilian Strake; Adrian Behlke; Tim Fingscheidt (IWAENC, 2022)

Does a PESQNet (Loss) Require a Clean Reference Input? The Original PESQ Does, But ACR Listening Tests Don't. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (IWAENC, 2022)

Transformer-Based Lip-Reading with Regularized Dropout and Relaxed Attention. - Zhengyang Li; Timo Lohrenz; Matthias Dunkelberg; Tim Fingscheidt (SLT, 2022)

Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. - Marvin Klingner; Jan-Aike Termöhlen; Jacob Ritterbach; Tim Fingscheidt (WACV (Workshops), 2022)

Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network. - Bile Peng; Jan-Aike Termöhlen; Cong Sun 002; Danping He; Ke Guan; Tim Fingscheidt; Eduard A. Jorswieck (CoRR, 2022)

Improving Performance of Semantic Segmentation CycleGANs by Noise Injection into the Latent Segmentation Space. - Jonas Löhdefink; Tim Fingscheidt (CoRR, 2022)

Deep Noise Suppression Maximizing Non-Differentiable PESQ Mediated by a Non-Intrusive PESQNet. - Ziyi Xu; Maximilian Strake; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation. - Marvin Klingner; Mouadh Ayache; Tim Fingscheidt (IEEE Trans. Intell. Transp. Syst., 2022)

SVDistNet: Self-Supervised Near-Field Distance Estimation on Surround View Fisheye Cameras. - Varun Ravi Kumar; Marvin Klingner; Senthil Kumar Yogamani; Markus Bach; Stefan Milz; Tim Fingscheidt; Patrick Mäder (IEEE Trans. Intell. Transp. Syst., 2022)

Deep Long Term Prediction for Semantic Segmentation in Autonomous Driving. - Bidya Dash; Shreyas Bilagi; Jasmin Breitenstein; Volker Schomerus; Thorsten Bagdonat; Tim Fingscheidt (AALTD@ECML/PKDD, 2023)

Parameter-Efficient Cross-Language Transfer Learning for a Language-Modular Audiovisual Speech Recognition. - Zhengyang Li; Thomas Graave; Jing Liu; Timo Lohrenz; Siegfried Kunzmann; Tim Fingscheidt (ASRU, 2023)

End-to-end Amodal Video Instance Segmentation. - Jasmin Breitenstein; Kangdong Jin; Aziz Hakiri; Marvin Klingner; Tim Fingscheidt (BMVC Workshop, 2023)

Improvements to Image Reconstruction-Based Performance Prediction for Semantic Segmentation in Highly Automated Driving. - Andreas Bär; Daniel Kusuma; Tim Fingscheidt (CVPR Workshops, 2023)

A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection. - Andreas Bär; Jonas Uhrig; Jeethesh Pai Umesh; Marius Cordts; Tim Fingscheidt (CVPR Workshops, 2023)

A Super-Resolution Training Paradigm Based on Low-Resolution Data Only to Surpass the Technical Limits of STEM and STM Microscopy. - Björn Möller; Jan Pirklbauer; Marvin Klingner; Peer Kasten; Markus Etzkorn; Tim J. Seifert; Uta Schlickum; Tim Fingscheidt (CVPR Workshops, 2023)

What Does Really Count? Estimating Relevance of Corner Cases for Semantic Segmentation in Automated Driving. - Jasmin Breitenstein; Florian Heidecker; Maria Lyssenko; Daniel Bogdoll; Maarten Bieshaar; J. Marius Zöllner; Bernhard Sick; Tim Fingscheidt (ICCV (Workshops), 2023)

A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation. - Jan-Aike Termöhlen; Timo Bartels; Tim Fingscheidt (ICCV (Workshops), 2023)

Relaxed Attention for Transformer Models. - Timo Lohrenz; Björn Möller; Zhengyang Li; Tim Fingscheidt (IJCNN, 2023)

An Efficient and Noise-Robust Audiovisual Encoder for Audiovisual Speech Recognition. - Zhengyang Li; Chenwei Liang; Timo Lohrenz; Marvin Sach; Björn Möller; Tim Fingscheidt (INTERSPEECH, 2023)

EffCRN: An Efficient Convolutional Recurrent Network for High-Performance Speech Enhancement. - Marvin Sach; Jan Franzen; Bruno Defraene; Kristoff Fluyt; Maximilian Strake; Wouter Tirry; Tim Fingscheidt (INTERSPEECH, 2023)

Efficient Deep Acoustic Echo Suppression with Condition-Aware Training. - Ernst Seidel; Pejman Mowlaee; Tim Fingscheidt (WASPAA, 2023)

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. - Manuel Schwonberg; Joshua Niemeijer; Jan-Aike Termöhlen; Jörg P. Schäfer; Nico M. Schmidt; Hanno Gottschalk; Tim Fingscheidt (IEEE Access, 2023)

Coded Speech Quality Measurement by a Non-Intrusive PESQ-DNN. - Ziyi Xu; Ziyue Zhao; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Low-Resolution-Only Microscopy Super-Resolution Models Generalizing to Non-Periodicities at Atomic Scale. - Björn Möller; Zhengyang Li; Markus Etzkorn; Tim Fingscheidt (CVPR Workshops, 2024)

Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding. - Danish Nazir; Timo Bartels; Jan Piewek; Thorsten Bagdonat; Tim Fingscheidt (ECCV (88), 2024)

On Camera and LiDAR Positions in End-to-End Autonomous Driving. - Malte Stelzer; Jan Pirklbauer; Jan Bickerdt; Volker Schomerus; Jan Piewek; Thorsten Bagdonat; Tim Fingscheidt (ECCV Workshops (7), 2024)

Efficient High-Performance Bark-Scale Neural Network for Residual Echo and Noise Suppression. - Ernst Seidel; Pejman Mowlaee; Tim Fingscheidt (ICASSP, 2024)

Employing Real Training Data for Deep Noise Suppression. - Ziyi Xu; Marvin Sach; Jan Pirklbauer; Tim Fingscheidt (ICASSP, 2024)

Mixed Children/Adult/Childrenized Fine-Tuning for Children's ASR: How to Reduce Age Mismatch and Speaking Style Mismatch. - Thomas Graave; Zhengyang Li; Timo Lohrenz; Tim Fingscheidt (INTERSPEECH, 2024)

Interleaved Audio/Audiovisual Transfer Learning for AV-ASR in Low-Resourced Languages. - Zhengyang Li; Patrick Blumenberg; Jing Liu; Thomas Graave; Timo Lohrenz; Siegfried Kunzmann; Tim Fingscheidt (INTERSPEECH, 2024)

URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. - Wangyou Zhang; Robin Scheibler; Kohei Saijo; Samuele Cornell; Chenda Li; Zhaoheng Ni; Jan Pirklbauer; Marvin Sach; Shinji Watanabe 001; Tim Fingscheidt; Yanmin Qian (INTERSPEECH, 2024)

Non-Causal to Causal SSL-Supported Transfer Learning: Towards A High-Performance Low-Latency Speech Vocoder. - Renzheng Shi; Andreas Bär; Marvin Sach; Wouter Tirry; Tim Fingscheidt (IWAENC, 2024)

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. - Joshua Niemeijer; Manuel Schwonberg; Jan-Aike Termöhlen; Nico M. Schmidt; Tim Fingscheidt (WACV, 2024)

URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement. - Wangyou Zhang; Robin Scheibler; Kohei Saijo; Samuele Cornell; Chenda Li; Zhaoheng Ni; Anurag Kumar 003; Jan Pirklbauer; Marvin Sach; Shinji Watanabe 001; Tim Fingscheidt; Yanmin Qian (CoRR, 2024)

Foundation Models for Amodal Video Instance Segmentation in Automated Driving. - Jasmin Breitenstein; Franz Jünger; Andreas Bär; Tim Fingscheidt (CoRR, 2024)

Convergence and Performance Analysis of Classical, Hybrid, and Deep Acoustic Echo Control. - Ernst Seidel; Pejman Mowlaee; Tim Fingscheidt (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

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]. - Ernst Seidel; Gerald Enzner; Pejman Mowlaee; Tim Fingscheidt (IEEE Signal Process. Mag., 2024)

Neural Kalman Filters for Acoustic Echo Cancellation. - Ernst Seidel; Gerald Enzner; Pejman Mowlaee; Tim Fingscheidt (CoRR, 2025)

A Lightweight Image Super-Resolution Transformer Trained on Low-Resolution Images Only. - Björn Möller; Lucas Görnhardt; Tim Fingscheidt (CoRR, 2025)

Improving Block-Wise LLM Quantization by 4-bit Block-Wise Optimal Float (BOF4): Analysis and Variations. - Patrick Blumenberg; Thomas Graave; Tim Fingscheidt (CoRR, 2025)

Lessons Learned from the URGENT 2024 Speech Enhancement Challenge. - Wangyou Zhang; Kohei Saijo; Samuele Cornell; Robin Scheibler; Chenda Li; Zhaoheng Ni; Anurag Kumar 003; Marvin Sach; Wei Wang 010; Yihui Fu; Shinji Watanabe 001; Tim Fingscheidt; et al. (CoRR, 2025)

Less is More: Data Curation Matters in Scaling Speech Enhancement. - Chenda Li; Wangyou Zhang; Wei Wang 010; Robin Scheibler; Kohei Saijo; Samuele Cornell; Yihui Fu; Marvin Sach; Zhaoheng Ni; Anurag Kumar 003; Tim Fingscheidt; Shinji Watanabe 001; et al. (CoRR, 2025)

URGENT-PK: Perceptually-Aligned Ranking Model Designed for Speech Enhancement Competition. - Jiahe Wang; Chenda Li; Wei Wang 010; Wangyou Zhang; Samuele Cornell; Marvin Sach; Robin Scheibler; Kohei Saijo; Yihui Fu; Zhaoheng Ni; Anurag Kumar 003; Tim Fingscheidt; et al. (CoRR, 2025)