Timo Gerkmann - RankMe

232 papers A* 2A 24B 4C 3Misc 42Journal 112Unranked 44

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Rotary Steering with Joint Autoregression for Robust Extraction of Closely Moving Speakers in Dynamic Scenarios. CoRR Jakob Kienegger, Timo Gerkmann
2026	J	`jnl`	Autoregressive Guidance of Deep Spatially Selective Filters using Bayesian Tracking for Efficient Extraction of Moving Speakers. CoRR Jakob Kienegger, Timo Gerkmann
2026	J	`jnl`	Bone-conduction Guided Multimodal Speech Enhancement with Conditional Diffusion Models. CoRR Sina Khanagha, Bunlong Lay, Timo Gerkmann
2026	J	`jnl`	Dynamics of Collective Group Affect: Group-Level Annotations and the Multimodal Modeling of Convergence and Divergence. IEEE Trans. Affect. Comput. Navin Raj Prabhu, Maria Tsfasman, Catharine Oertel, Timo Gerkmann, Nale Lehmann-Willenbrock
2025	J	`jnl`	Are Modern Speech Enhancement Systems Vulnerable to Adversarial Attacks? CoRR Rostislav Makarov, Lea Schönherr, Timo Gerkmann
2025	J	`jnl`	Are These Even Words? Quantifying the Gibberishness of Generative Speech Models. CoRR Danilo de Oliveira, Tal Peer, Jonas Rochdi, Timo Gerkmann
2025	J	`jnl`	Diffusion Buffer for Online Generative Speech Enhancement. CoRR Bunlong Lay, Rostislav Makarov, Simon Welker, Maris Hillemann, Timo Gerkmann
2025	A	`conf`	Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency. INTERSPEECH Bunlong Lay, Rostilav Makarov, Timo Gerkmann
2025	J	`jnl`	Diffusion Buffer: Online Diffusion-based Speech Enhancement with Sub-Second Latency. CoRR Bunlong Lay, Rostilav Makarov, Timo Gerkmann
2025	C	`conf`	Enhancing In-the-Wild Speech Emotion Conversion with Resynthesis-based Duration Modeling. ASRU Navin Raj Prabhu, Danilo de Oliveira, Nale Lehmann-Willenbrock, Timo Gerkmann
2025	A*	`conf`	FlowDec: A flow-based full-band general audio codec with high perceptual quality. ICLR Simon Welker, Matthew Le, Ricky T. Q. Chen, Wei-Ning Hsu, Timo Gerkmann, Alexander Richard, Yi-Chiao Wu
2025	J	`jnl`	FlowDec: A flow-based full-band general audio codec with high perceptual quality. CoRR Simon Welker, Matthew Le, Ricky T. Q. Chen, Wei-Ning Hsu, Timo Gerkmann, Alexander Richard, Yi-Chiao Wu
2025	Misc	`conf`	HRTF Estimation using a Score-based Prior. ICASSP Etienne Thuillier, Jean-Marie Lemercier, Eloi Moliner, Timo Gerkmann, Vesa Välimäki
2025	Misc	`conf`	Investigating Training Objectives for Generative Speech Enhancement. ICASSP Julius Richter, Danilo de Oliveira, Timo Gerkmann
2025	J	`jnl`	LipDiffuser: Lip-to-Speech Generation with Conditional Diffusion Models. CoRR Danilo de Oliveira, Julius Richter, Tal Peer, Timo Gerkmann
2025	Misc	`conf`	Mask-Weighted Spatial Likelihood Coding for Speaker-Independent Joint Localization and Mask Estimation. ICASSP Jakob Kienegger, Alina Mannanova, Timo Gerkmann
2025	A	`conf`	Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech. INTERSPEECH Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann
2025	J	`jnl`	Normalize Everything: A Preconditioned Magnitude-Preserving Architecture for Diffusion-Based Speech Enhancement. CoRR Julius Richter, Danilo de Oliveira, Timo Gerkmann
2025	J	`jnl`	Position-Blind Ptychography: Viability of image reconstruction via data-driven variational inference. CoRR Simon Welker, Lorenz Kuger, Tim Roith, Berthy Feng, Martin Burger, Timo Gerkmann, Henry N. Chapman
2025	A	`conf`	Real-Time Diffusion Buffer for Speech Enhancement On A Laptop. INTERSPEECH Bunlong Lay, Rostilav Makarov, Timo Gerkmann
2025	J	`jnl`	Real-Time Streamable Generative Speech Restoration with Flow Matching. CoRR Simon Welker, Bunlong Lay, Maris Hillemann, Tal Peer, Timo Gerkmann
2025	J	`jnl`	Real-Time Streaming Mel Vocoding with Generative Flow Matching. CoRR Simon Welker, Tal Peer, Timo Gerkmann
2025	J	`jnl`	ReverbFX: A Dataset of Room Impulse Responses Derived from Reverb Effect Plugins for Singing Voice Dereverberation. CoRR Julius Richter, Till Svajda, Timo Gerkmann
2025	—	`conf`	Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance. WASPAA Jakob Kienegger, Alina Mannanova, Huajian Fang, Timo Gerkmann
2025	J	`jnl`	Self-Steering Deep Non-Linear Spatially Selective Filters for Efficient Extraction of Moving Speakers under Weak Guidance. CoRR Jakob Kienegger, Alina Mannanova, Huajian Fang, Timo Gerkmann
2025	A	`conf`	Steering Deep Non-Linear Spatially Selective Filters for Weakly Guided Extraction of Moving Speakers in Dynamic Scenarios. INTERSPEECH Jakob Kienegger, Timo Gerkmann
2025	J	`jnl`	Steering Deep Non-Linear Spatially Selective Filters for Weakly Guided Extraction of Moving Speakers in Dynamic Scenarios. CoRR Jakob Kienegger, Timo Gerkmann
2024	Misc	`conf`	A Flexible Online Framework for Projection-Based Stft Phase Retrieval. ICASSP Tal Peer, Simon Welker, Johannes Kolhoff, Timo Gerkmann
2024	A	`conf`	An Analysis of the Variance of Diffusion-based Speech Enhancement. INTERSPEECH Bunlong Lay, Timo Gerkmann
2024	J	`jnl`	An Analysis of the Variance of Diffusion-based Speech Enhancement. CoRR Bunlong Lay, Timo Gerkmann
2024	—	`conf`	BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models. IWAENC Eloi Moliner, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann, Vesa Välimäki
2024	J	`jnl`	BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models. CoRR Eloi Moliner, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann, Vesa Välimäki
2024	J	`jnl`	Diffusion Models for Audio Restoration. CoRR Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa Välimäki, Timo Gerkmann
2024	J	`jnl`	Diffusion Models for Audio Restoration: A review [Special Issue On Model-Based and Data-Driven Audio Signal Processing]. IEEE Signal Process. Mag. Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa Välimäki, Timo Gerkmann
2024	Misc	`conf`	Distilling Hubert with LSTMs via Decoupled Knowledge Distillation. ICASSP Danilo de Oliveira, Timo Gerkmann
2024	J	`jnl`	DriftRec: Adapting Diffusion Models to Blind JPEG Restoration. IEEE Trans. Image Process. Simon Welker, Henry N. Chapman, Timo Gerkmann
2024	J	`jnl`	Dynamics of Collective Group Affect: Group-level Annotations and the Multimodal Modeling of Convergence and Divergence. CoRR Navin Raj Prabhu, Maria Tsfasman, Catharine Oertel, Timo Gerkmann, Nale Lehmann-Willenbrock
2024	A	`conf`	EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation. INTERSPEECH Julius Richter, Yi-Chiao Wu, Steven Krenn, Simon Welker, Bunlong Lay, Shinji Watanabe, Alexander Richard, Timo Gerkmann
2024	J	`jnl`	EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation. CoRR Julius Richter, Yi-Chiao Wu, Steven Krenn, Simon Welker, Bunlong Lay, Shinji Watanabe, Alexander Richard, Timo Gerkmann
2024	Misc	`conf`	EMOCONV-Diff: Diffusion-Based Speech Emotion Conversion for Non-Parallel and in-the-Wild Data. ICASSP Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
2024	J	`jnl`	End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning. IEEE Trans. Affect. Comput. Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2024	J	`jnl`	HRTF Estimation using a Score-based Prior. CoRR Etienne Thuillier, Jean-Marie Lemercier, Eloi Moliner, Timo Gerkmann, Vesa Välimäki
2024	J	`jnl`	Investigating Training Objectives for Generative Speech Enhancement. CoRR Julius Richter, Danilo de Oliveira, Timo Gerkmann
2024	—	`conf`	LASER: Language-Queried Speech Enhancer. IWAENC Danilo de Oliveira, Eric Grinstein, Patrick A. Naylor, Timo Gerkmann
2024	Misc	`conf`	Live Iterative Ptychography with Projection-Based Algorithms. ICASSP Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
2024	J	`jnl`	Mask-Weighted Spatial Likelihood Coding for Speaker-Independent Joint Localization and Mask Estimation. CoRR Jakob Kienegger, Alina Mannanova, Timo Gerkmann
2024	—	`conf`	Meta-Learning For Variable Array Configurations in End-to-End Few-Shot Multichannel Speech Enhancement. IWAENC Alina Mannanova, Kristina Tesch, Jean-Marie Lemercier, Timo Gerkmann
2024	J	`jnl`	Multi-Channel Speech Separation Using Spatially Selective Deep Non-Linear Filters. IEEE ACM Trans. Audio Speech Lang. Process. Kristina Tesch, Timo Gerkmann
2024	J	`jnl`	Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech. CoRR Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann
2024	—	`conf`	Robustness of Speech Separation Models for Similar-Pitch Speakers. IWAENC Bunlong Lay, Sebastian Zaczek, Kristina Tesch, Timo Gerkmann
2024	J	`jnl`	Robustness of Speech Separation Models for Similar-pitch Speakers. CoRR Bunlong Lay, Sebastian Zaczek, Kristina Tesch, Timo Gerkmann
2024	Misc	`conf`	Single and Few-Step Diffusion for Generative Speech Enhancement. ICASSP Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann
2024	A	`conf`	The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement. INTERSPEECH Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann
2024	J	`jnl`	The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement. CoRR Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann
2024	—	`conf`	Uncertainty-Based Remixing for Unsupervised Domain Adaptation in Deep Speech Enhancement. IWAENC Huajian Fang, Timo Gerkmann
2024	J	`jnl`	Unsupervised Blind Joint Dereverberation and Room Acoustics Estimation with Diffusion Models. CoRR Jean-Marie Lemercier, Eloi Moliner, Simon Welker, Vesa Välimäki, Timo Gerkmann
2023	J	`jnl`	A Flexible Online Framework for Projection-Based STFT Phase Retrieval. CoRR Tal Peer, Simon Welker, Johannes Kolhoff, Timo Gerkmann
2023	J	`jnl`	A neural network-supported two-stage algorithm for lightweight dereverberation on hearing devices. EURASIP J. Audio Speech Music. Process. Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
2023	B	`conf`	Acoustic and Visual Knowledge Distillation for Contrastive Audio-Visual Localization. ICMI Ehsan Yaghoubi, André Peter Kelm, Timo Gerkmann, Simone Frintrop
2023	Misc	`conf`	Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration. ICASSP Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
2023	J	`jnl`	Audio-Visual Speech Enhancement with Score-Based Generative Models. CoRR Julius Richter, Simone Frintrop, Timo Gerkmann
2023	A	`conf`	Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. INTERSPEECH Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
2023	J	`jnl`	Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. CoRR Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
2023	Misc	`conf`	DiffPhase: Generative Diffusion-Based STFT Phase Retrieval. ICASSP Tal Peer, Simon Welker, Timo Gerkmann
2023	—	`conf`	Diffusion Posterior Sampling for Informed Single-Channel Dereverberation. WASPAA Jean-Marie Lemercier, Simon Welker, Timo Gerkmann
2023	J	`jnl`	Diffusion Posterior Sampling for Informed Single-Channel Dereverberation. CoRR Jean-Marie Lemercier, Simon Welker, Timo Gerkmann
2023	J	`jnl`	Distilling HuBERT with LSTMs via Decoupled Knowledge Distillation. CoRR Danilo de Oliveira, Timo Gerkmann
2023	J	`jnl`	EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data. CoRR Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
2023	A	`conf`	Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation. INTERSPEECH Jean-Marie Lemercier, Julian Tobergte, Timo Gerkmann
2023	J	`jnl`	Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation. CoRR Jean-Marie Lemercier, Julian Tobergte, Timo Gerkmann
2023	J	`jnl`	In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis. CoRR Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2023	J	`jnl`	Insights Into Deep Non-Linear Filters for Improved Multi-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Kristina Tesch, Timo Gerkmann
2023	J	`jnl`	Integrating Uncertainty Into Neural Network-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Huajian Fang, Dennis Becker, Stefan Wermter, Timo Gerkmann
2023	J	`jnl`	Integrating Uncertainty into Neural Network-based Speech Enhancement. CoRR Huajian Fang, Dennis Becker, Stefan Wermter, Timo Gerkmann
2023	A	`conf`	Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models. INTERSPEECH Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
2023	J	`jnl`	Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models. CoRR Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
2023	J	`jnl`	Multi-channel Speech Separation Using Spatially Selective Deep Non-linear Filters. CoRR Kristina Tesch, Timo Gerkmann
2023	J	`jnl`	On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings. CoRR Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Tal Peer, Timo Gerkmann
2023	Misc	`conf`	Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise. ICASSP Huajian Fang, Niklas Wittmer, Johannes Twiefel, Stefan Wermter, Timo Gerkmann
2023	J	`jnl`	Partially Adaptive Multichannel Joint Reduction of Ego-noise and Environmental Noise. CoRR Huajian Fang, Niklas Wittmer, Johannes Twiefel, Stefan Wermter, Timo Gerkmann
2023	A	`conf`	Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. INTERSPEECH Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
2023	J	`jnl`	Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. CoRR Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
2023	J	`jnl`	Single and Few-step Diffusion for Generative Speech Enhancement. CoRR Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann
2023	Misc	`conf`	Spatially Selective Deep Non-Linear Filters For Speaker Extraction. ICASSP Kristina Tesch, Timo Gerkmann
2023	J	`jnl`	Speech Enhancement and Dereverberation With Diffusion-Based Generative Models. IEEE ACM Trans. Audio Speech Lang. Process. Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann
2023	Misc	`conf`	Speech Signal Improvement Using Causal Generative Diffusion Models. ICASSP Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
2023	J	`jnl`	Speech Signal Improvement Using Causal Generative Diffusion Models. CoRR Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
2023	J	`jnl`	StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
2023	Misc	`conf`	Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models. ICASSP Huajian Fang, Timo Gerkmann
2023	J	`jnl`	Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model. CoRR Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
2022	J	`jnl`	Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration. CoRR Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
2022	—	`conf`	Beyond Griffin-LIM: Improved Iterative Phase Retrieval for Speech. IWAENC Tal Peer, Simon Welker, Timo Gerkmann
2022	J	`jnl`	Beyond Griffin-Lim: Improved Iterative Phase Retrieval for Speech. CoRR Tal Peer, Simon Welker, Timo Gerkmann
2022	B	`conf`	Continuous Phoneme Recognition based on Audio-Visual Modality Fusion. IJCNN Julius Richter, Jeanine Liebold, Timo Gerkmann
2022	Misc	`conf`	Customizable End-To-End Optimization Of Online Neural Network-Supported Dereverberation For Hearing Devices. ICASSP Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
2022	J	`jnl`	Customizable End-to-end Optimization of Online Neural Network-supported Dereverberation for Hearing Devices. CoRR Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
2022	Misc	`conf`	Deep Iterative Phase Retrieval for Ptychography. ICASSP Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
2022	J	`jnl`	Deep Iterative Phase Retrieval for Ptychography. CoRR Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
2022	J	`jnl`	DiffPhase: Generative Diffusion-based STFT Phase Retrieval. CoRR Tal Peer, Simon Welker, Timo Gerkmann
2022	J	`jnl`	DriftRec: Adapting diffusion models to blind image restoration tasks. CoRR Simon Welker, Henry N. Chapman, Timo Gerkmann
2022	A	`conf`	Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes. INTERSPEECH Danilo de Oliveira, Tal Peer, Timo Gerkmann
2022	J	`jnl`	Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes. CoRR Danilo de Oliveira, Tal Peer, Timo Gerkmann
2022	A	`conf`	End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks. INTERSPEECH Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
2022	J	`jnl`	End-To-End Optimization of Online Neural Network-supported Two-Stage Dereverberation for Hearing Devices. CoRR Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
2022	J	`jnl`	End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning. CoRR Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2022	J	`jnl`	Insights into Deep Non-linear Filters for Improved Multi-channel Speech Enhancement. CoRR Kristina Tesch, Timo Gerkmann
2022	Misc	`conf`	Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. ICASSP Huajian Fang, Tal Peer, Stefan Wermter, Timo Gerkmann
2022	J	`jnl`	Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. CoRR Huajian Fang, Tal Peer, Stefan Wermter, Timo Gerkmann
2022	B	`conf`	Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions. ACII Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2022	J	`jnl`	Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions. CoRR Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
2022	A	`conf`	Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments. INTERSPEECH Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
2022	J	`jnl`	Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments. CoRR Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
2022	A	`conf`	On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement. INTERSPEECH Kristina Tesch, Nils-Hendrik Mohrmann, Timo Gerkmann
2022	J	`jnl`	On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement. CoRR Kristina Tesch, Nils-Hendrik Mohrmann, Timo Gerkmann
2022	J	`jnl`	Phase-Aware Deep Speech Enhancement: It's All About The Frame Length. CoRR Tal Peer, Timo Gerkmann
2022	J	`jnl`	Spatially Selective Deep Non-linear Filters for Speaker Extraction. CoRR Kristina Tesch, Timo Gerkmann
2022	C	`conf`	Speech Enhancement Regularized by a Speaker Verification Model. MMSP Bunlong Lay, Timo Gerkmann
2022	J	`jnl`	Speech Enhancement and Dereverberation with Diffusion-based Generative Models. CoRR Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann
2022	A	`conf`	Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. INTERSPEECH Simon Welker, Julius Richter, Timo Gerkmann
2022	J	`jnl`	Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. CoRR Simon Welker, Julius Richter, Timo Gerkmann
2022	J	`jnl`	StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. CoRR Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
2022	J	`jnl`	Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models. CoRR Huajian Fang, Timo Gerkmann
2021	—	`conf`	An Integrated Deep Clustering-Based System for Speaker Count Agnostic Speech Separation. ITG Conference on Speech Communication Jean-Marie Lemercier, Leroy Bartel, David Ditter, Timo Gerkmann
2021	—	`conf`	Dictionary-Based Background Signal Estimation For Magnetic Particle Imaging. ISBI Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel
2021	—	`conf`	Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. WASPAA Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021	J	`jnl`	Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. CoRR Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021	J	`jnl`	Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging Using a Dictionary Approach. IEEE Trans. Medical Imaging Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel
2021	J	`jnl`	End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks. CoRR Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
2021	J	`jnl`	Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier. CoRR Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021	Misc	`conf`	Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier. ICASSP Guillaume Carbajal, Julius Richter, Timo Gerkmann
2021	—	`conf`	Intelligibility Prediction of Speech Reconstructed From Its Magnitude or Phase. ITG Conference on Speech Communication Tal Peer, Timo Gerkmann
2021	—	`conf`	Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary. ITG Conference on Speech Communication Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
2021	J	`jnl`	Nonlinear Spatial Filtering in Multichannel Speech Enhancement. CoRR Kristina Tesch, Timo Gerkmann
2021	J	`jnl`	Nonlinear Spatial Filtering in Multichannel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Kristina Tesch, Timo Gerkmann
2021	—	`conf`	Plosive Enhancement Using Phase Linearization and Smoothing. ITG Conference on Speech Communication Tal Peer, Klaus-Johan Ziegert, Timo Gerkmann
2021	J	`jnl`	SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Robert Rehr, Timo Gerkmann
2021	C	`conf`	See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion. ICVS Danu Caus, Guillaume Carbajal, Timo Gerkmann, Simone Frintrop
2021	A*	`conf`	Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. NeurIPS Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
2021	J	`jnl`	Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. CoRR Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
2021	Misc	`conf`	Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. ICASSP Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
2021	J	`jnl`	Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. CoRR Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
2020	Misc	`conf`	A Multi-Phase Gammatone Filterbank for Speech Separation Via Tasnet. ICASSP David Ditter, Timo Gerkmann
2020	J	`jnl`	A Survey on Probabilistic Models in Human Perception and Machines. Frontiers Robotics AI Lux Li, Robert Rehr, Patrick Bruns, Timo Gerkmann, Brigitte Röder
2020	B	`conf`	Improving mix-and-separate training in audio-visual sound source separation with an object prior. ICPR Quan Nguyen, Julius Richter, Mikko Lauri, Timo Gerkmann, Simone Frintrop
2020	Misc	`conf`	Nonlinear Spatial Filtering for Multichannel Speech Enhancement in Inhomogeneous Noise Fields. ICASSP Kristina Tesch, Timo Gerkmann
2020	J	`jnl`	Reinforcement Learning with Time-dependent Goals for Robotic Musicians. CoRR Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen, Timo Gerkmann, Stefan Wermter
2020	A	`conf`	Robust Robotic Pouring using Audition and Haptics. IROS Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Marcus Stoffel, Jianwei Zhang
2020	J	`jnl`	Robust Robotic Pouring using Audition and Haptics. CoRR Hongzhuo Liang, Chuangchuang Zhou, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Jianwei Zhang
2020	J	`jnl`	SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement. CoRR Robert Rehr, Timo Gerkmann
2020	A	`conf`	Speech Enhancement with Stochastic Temporal Convolutional Networks. INTERSPEECH Julius Richter, Guillaume Carbajal, Timo Gerkmann
2019	J	`jnl`	A Multi-Phase Gammatone Filterbank for Speech Separation via TasNet. CoRR David Ditter, Timo Gerkmann
2019	Misc	`conf`	An Analysis of Noise-aware Features in Combination with the Size and Diversity of Training Data for DNN-based Speech Enhancement. ICASSP Robert Rehr, Timo Gerkmann
2019	A	`conf`	Influence of Speaker-Specific Parameters on Speech Separation Systems. INTERSPEECH David Ditter, Timo Gerkmann
2019	A	`conf`	Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring. IROS Hongzhuo Liang, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Fuchun Sun, Jianwei Zhang
2019	J	`jnl`	Making Sense of Audio Vibration for Liquid Height Estimation in Robotic Pouring. CoRR Hongzhuo Liang, Shuang Li, Xiaojian Ma, Norman Hendrich, Timo Gerkmann, Jianwei Zhang
2019	A	`conf`	On Nonlinear Spatial Filtering in Multichannel Speech Enhancement. INTERSPEECH Kristina Tesch, Robert Rehr, Timo Gerkmann
2018	—	`conf`	A Study on the Benefits of Phase-Aware Speech Enhancement in Challenging Noise Scenarios. LVA/ICA Martin Krawczyk-Becker, Timo Gerkmann
2018	Misc	`conf`	Nonlinear Speech Enhancement Under Speech PSD Uncertainty. ICASSP Martin Krawczyk-Becker, Timo Gerkmann
2018	J	`jnl`	On Speech Enhancement Under PSD Uncertainty. IEEE ACM Trans. Audio Speech Lang. Process. Martin Krawczyk-Becker, Timo Gerkmann
2018	J	`jnl`	On the Importance of Super-Gaussian Speech Priors for Machine-Learning Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Robert Rehr, Timo Gerkmann
2018	—	`conf`	Robust DNN-Based Speech Enhancement with Limited Training Data. ITG Symposium on Speech Communication Robert Rehr, Timo Gerkmann
2018	Misc	`conf`	Weighted and Multi-Task Loss for Rare Audio Event Detection. ICASSP Huy Phan, Martin Krawczyk-Becker, Timo Gerkmann, Alfred Mertins
2017	J	`jnl`	An Analysis of Adaptive Recursive Smoothing with Applications to Noise PSD Estimation. IEEE ACM Trans. Audio Speech Lang. Process. Robert Rehr, Timo Gerkmann
2017	J	`jnl`	DNN and CNN with Weighted and Multi-task Loss Functions for Audio Event Detection. CoRR Huy Phan, Martin Krawczyk-Becker, Timo Gerkmann, Alfred Mertins
2017	J	`jnl`	Improving the Generalizability of Deep Neural Network Based Speech Enhancement. CoRR Robert Rehr, Timo Gerkmann
2017	A	`conf`	MixMax Approximation as a Super-Gaussian Log-Spectral Amplitude Estimator for Speech Enhancement. INTERSPEECH Robert Rehr, Timo Gerkmann
2017	J	`jnl`	On the Importance of Super-Gaussian Speech Priors for Pre-Trained Speech Enhancement. CoRR Robert Rehr, Timo Gerkmann
2016	—	`conf`	A Combination of Pre-Trained Approaches and Generic Methods for an Improved Speech Enhancement. ITG Symposium on Speech Communication Robert Rehr, Timo Gerkmann
2016	Misc	`conf`	BIAS correction methods for adaptive recursive smoothing with applications in noise PSD estimation. ICASSP Robert Rehr, Timo Gerkmann
2016	—	`conf`	Combined Single-Microphone Wiener and MVDR Filtering based on Speech Interframe Correlations and Speech Presence Probability. ITG Symposium on Speech Communication Dörte Fischer, Simon Doclo, Emanuël A. P. Habets, Timo Gerkmann
2016	—	`conf`	Constrained multi-channel linear prediction for adaptive speech dereverberation. IWAENC Ante Jukic, Zichao Wang, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
2016	J	`jnl`	Fundamental Frequency Informed Speech Enhancement in a Flexible Statistical Framework. IEEE ACM Trans. Audio Speech Lang. Process. Martin Krawczyk-Becker, Timo Gerkmann
2016	J	`jnl`	On MMSE-Based Estimation of Amplitude and Complex Speech Spectral Coefficients Under Phase-Uncertainty. IEEE ACM Trans. Audio Speech Lang. Process. Martin Krawczyk-Becker, Timo Gerkmann
2016	Misc	`conf`	Perceptual and instrumental evaluation of the perceived level of reverberation. ICASSP Benjamin Cauchi, Hamza A. Javed, Timo Gerkmann, Simon Doclo, Stefan Goetze, Patrick A. Naylor
2016	Misc	`conf`	Single-microphone speech enhancement using MVDR filtering and Wiener post-filtering. ICASSP Dörte Fischer, Timo Gerkmann
2016	Misc	`conf`	Sparse reconstruction of quantized speech signals. ICASSP Christoph Brauer, Timo Gerkmann, Dirk A. Lorenz
2015	Misc	`conf`	Cepstral noise subtraction for robust automatic speech recognition. ICASSP Robert Rehr, Timo Gerkmann
2015	J	`jnl`	Combination of MVDR beamforming and single-channel spectral processing for enhancing noisy and reverberant speech. EURASIP J. Adv. Signal Process. Benjamin Cauchi, Ina Kodrasi, Robert Rehr, Stephan Gerlach, Ante Jukic, Timo Gerkmann, Simon Doclo, Stefan Goetze
2015	J	`jnl`	Front-end technologies for robust ASR in reverberant environments - spectral enhancement-based dereverberation and auditory modulation filterbank features. EURASIP J. Adv. Signal Process. Feifei Xiong, Bernd T. Meyer, Niko Moritz, Robert Rehr, Jörn Anemüller, Timo Gerkmann, Simon Doclo, Stefan Goetze
2015	—	`conf`	Group sparsity for mimo speech dereverberation. WASPAA Ante Jukic, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
2015	—	`conf`	Late reverberant spectral variance estimation using acoustic channel equalization. EUSIPCO Benjamin Cauchi, Patrick A. Naylor, Timo Gerkmann, Simon Doclo, Stefan Goetze
2015	A	`conf`	Least squares estimate of the initial phases in STFT based speech enhancement. INTERSPEECH Sidsel Marie Nørholm, Martin Krawczyk-Becker, Timo Gerkmann, Steven van de Par, Jesper Rindom Jensen, Mads Græsbøll Christensen
2015	—	`conf`	MMSE-optimal combination of wiener filtering and harmonic model based speech enhancement in a general framework. WASPAA Martin Krawczyk-Becker, Timo Gerkmann
2015	J	`jnl`	Multi-Channel Linear Prediction-Based Speech Dereverberation With Sparse Priors. IEEE ACM Trans. Audio Speech Lang. Process. Ante Jukic, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
2015	Misc	`conf`	Multi-channel PSD estimators for speech dereverberation - A theoretical and experimental comparison. ICASSP Adam Kuklasinski, Simon Doclo, Timo Gerkmann, Søren Holdt Jensen, Jesper Jensen
2015	Misc	`conf`	Multi-channel linear prediction-based speech dereverberation with low-rank power spectrogram approximation. ICASSP Ante Jukic, Nasser Mohammadiha, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
2015	J	`jnl`	Noise Power Spectral Density Estimation Using MaxNSR Blocking Matrix. IEEE ACM Trans. Audio Speech Lang. Process. Lin Wang, Timo Gerkmann, Simon Doclo
2015	—	`conf`	On the bias of adaptive first-order recursive smoothing. WASPAA Robert Rehr, Timo Gerkmann
2015	J	`jnl`	Phase Processing for Single-Channel Speech Enhancement: History and recent advances. IEEE Signal Process. Mag. Timo Gerkmann, Martin Krawczyk-Becker, Jonathan Le Roux
2015	J	`jnl`	Two-Stage Filter-Bank System for Improved Single-Channel Noise Reduction in Hearing Aids. IEEE ACM Trans. Audio Speech Lang. Process. Alexander Schasse, Timo Gerkmann, Rainer Martin, Wolfgang Sörgel, Thomas Pilgrim, Henning Puder
2015	Misc	`conf`	Utilizing spectro-temporal correlations for an improved speech presence probability based noise power estimation. ICASSP Martin Krawczyk-Becker, Dörte Fischer, Timo Gerkmann
2014	—	`conf`	A posteriori speech presence probability estimation based on averaged observations and a super-Gaussian speech model. IWAENC Balázs Fodor, Timo Gerkmann
2014	Misc	`conf`	A posteriori voiced/unvoiced probability estimation based on a sinusoidal model. ICASSP Robert Rehr, Martin Krawczyk, Timo Gerkmann
2014	—	`conf`	A speech presence probability estimator based on fixed priors and a heavy-tailed speech model. EUSIPCO Balázs Fodor, Timo Gerkmann
2014	—	`conf`	A study on speech quality and speech intelligibility measures for quality assessment of single-channel dereverberation algorithms. IWAENC Stefan Goetze, Anna Warzybok, Ina Kodrasi, Jan Ole Jungmann, Benjamin Cauchi, Jan Rennies, Emanuël A. P. Habets, Alfred Mertins, Timo Gerkmann, Simon Doclo, Birger Kollmeier
2014	J	`jnl`	Bayesian Estimation of Clean Speech Spectral Coefficients Given a Priori Knowledge of the Phase. IEEE Trans. Signal Process. Timo Gerkmann
2014	—	`conf`	Efficient Multi-Channel Acoustic Echo Cancellation Using Constrained Sparse Filter Updates in the Subband Domain. ITG Symposium on Speech Communication Naveen Kumar Desiraju, Simon Doclo, Timo Gerkmann, Tobias Wolff
2014	Misc	`conf`	Frequency-domain single-channel inverse filtering for speech dereverberation: Theory and practice. ICASSP Ina Kodrasi, Timo Gerkmann, Simon Doclo
2014	—	`conf`	Generalization of supervised learning for binary mask estimation. IWAENC Tobias May, Timo Gerkmann
2014	Misc	`conf`	MMSE-optimal enhancement of complex speech coefficients with uncertain prior knowledge of the clean speech phase. ICASSP Timo Gerkmann
2014	J	`jnl`	STFT phase reconstruction in voiced speech for an improved single-channel speech enhancement. IEEE ACM Trans. Audio Speech Lang. Process. Martin Krawczyk, Timo Gerkmann
2014	—	`conf`	Single channel noise reduction based on an auditory filterbank. IWAENC Steffen Kortlang, Stephan Dieter Ewert, Timo Gerkmann
2014	—	`conf`	Speech dereverberation with convolutive transfer function approximation using map and variational deconvolution approaches. IWAENC Ante Jukic, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
2014	—	`conf`	Speech dereverberation with multi-channel linear prediction and sparse priors for the desired signal. HSCMA Ante Jukic, Toon van Waterschoot, Timo Gerkmann, Simon Doclo
2014	—	`conf`	Subjective speech quality and speech intelligibility evaluation of single-channel dereverberation algorithms. IWAENC Anna Warzybok, Ina Kodrasi, Jan Ole Jungmann, Emanuël A. P. Habets, Timo Gerkmann, Alfred Mertins, Simon Doclo, Birger Kollmeier, Stefan Goetze
2013	—	`book`	DFT-Domain Based Single-Microphone Noise Reduction for Speech Enhancement Richard C. Hendriks, Timo Gerkmann, Jesper Jensen
2013	J	`jnl`	MMSE-Optimal Spectral Amplitude Estimation Given the STFT-Phase. IEEE Signal Process. Lett. Timo Gerkmann, Martin Krawczyk
2013	Misc	`conf`	On the relation between speech corruption models in the spectral and the cepstral domain. ICASSP Ramón Fernandez Astudillo, Timo Gerkmann
2013	—	`conf`	Phase-sensitive real-time capable speech enhancement under voiced-unvoiced uncertainty. EUSIPCO Martin Krawczyk, Robert Rehr, Timo Gerkmann
2013	—	`conf`	Privacy preserving distributed beamforming based on homomorphic encryption. EUSIPCO Richard C. Hendriks, Zekeriya Erkin, Timo Gerkmann
2013	Misc	`conf`	Privacy-preserving distributed speech enhancement forwireless sensor networks by processing in the encrypted domain. ICASSP Richard C. Hendriks, Zekeriya Erkin, Timo Gerkmann
2012	Misc	`conf`	Improved mmse-based noise PSD tracking using temporal cepstrum smoothing. ICASSP Timo Gerkmann, Richard C. Hendriks
2012	J	`jnl`	Noise Correlation Matrix Estimation for Multi-Microphone Speech Enhancement. IEEE Trans. Speech Audio Process. Richard C. Hendriks, Timo Gerkmann
2012	—	`conf`	Noise PSD Estimation Using Blind Source Separation in a Diffuse Noise Field. IWAENC Lin Wang, Timo Gerkmann, Simon Doclo
2012	—	`conf`	STFT Phase Improvement for Single Channel Speech Enhancement. IWAENC Martin Krawczyk, Timo Gerkmann
2012	J	`jnl`	Unbiased MMSE-Based Noise Power Estimation With Low Complexity and Low Tracking Delay. IEEE Trans. Speech Audio Process. Timo Gerkmann, Richard C. Hendriks
2011	—	`conf`	A new approach for speech enhancement based on a constrained Nonnegative Matrix Factorization. ISPACS Nasser Mohammadiha, Timo Gerkmann, Arne Leijon
2011	—	`conf`	A new linear MMSE filter for single channel speech enhancement based on Nonnegative Matrix Factorization. WASPAA Nasser Mohammadiha, Timo Gerkmann, Arne Leijon
2011	—	`conf`	Blind source separation of nondisjoint sources in the time-frequency domain with model-based determination of source contribution. ISSPIT Jalil Taghia, Timo Gerkmann, Arne Leijon
2011	—	`conf`	Cepstral weighting for speech dereverberation without musical noise. EUSIPCO Timo Gerkmann
2011	Misc	`conf`	Estimation of the noise correlation matrix. ICASSP Richard C. Hendriks, Timo Gerkmann
2011	—	`conf`	Noise power estimation based on the probability of speech presence. WASPAA Timo Gerkmann, Richard C. Hendriks
2010	—	`conf`	Cepstral Smoothing with Reduced Computational Complexity. Sprachkommunikation Timo Gerkmann, Rainer Martin
2010	—	`conf`	Musical genre classification based on a highly-resolved cepstral modulation spectrum. EUSIPCO Anil M. Nagathil, Timo Gerkmann, Rainer Martin
2010	Misc	`conf`	Speech presence probability estimation based on temporal cepstrum smoothing. ICASSP Timo Gerkmann, Martin Krawczyk, Rainer Martin
2009	Misc	`conf`	Multi-microphone maximum a posteriori fundamental frequency estimation in the cepstral domain. ICASSP Timo Gerkmann, Rainer Martin, Derya Dalga
2009	J	`jnl`	On the statistics of spectral amplitudes after variance reduction by temporal cepstrum smoothing and cepstral nulling. IEEE Trans. Signal Process. Timo Gerkmann, Rainer Martin
2008	Misc	`conf`	A novel a priori SNR estimation approach based on selective cepstro-temporal smoothing. ICASSP Colin Breithaupt, Timo Gerkmann, Rainer Martin
2008	J	`jnl`	Improved A Posteriori Speech Presence Probability Estimation Based on a Likelihood Ratio With Fixed Priors. IEEE Trans. Speech Audio Process. Timo Gerkmann, Colin Breithaupt, Rainer Martin
2007	J	`jnl`	Cepstral Smoothing of Spectral Filter Gains for Speech Enhancement Without Musical Noise. IEEE Signal Process. Lett. Colin Breithaupt, Timo Gerkmann, Rainer Martin
2006	A	`conf`	Soft decision combining for dual channel noise reduction. INTERSPEECH Timo Gerkmann, Rainer Martin
2006	—	`conf`	Statistical Inference of Missing Speech Data in the ICA Domain. ICASSP (5) Justinian Rosca, Timo Gerkmann, Doru-Cristian Balcan