Timo Gerkmann

ORCID

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 133

Top Venues

CoRR

ICASSP

IEEE ACM Trans. Audio Speech Lang. Process.

INTERSPEECH

Publications

Danilo de Oliveira, Simon Welker, Julius Richter, Timo Gerkmann
The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement. CoRR (2024)
Simon Welker, Henry N. Chapman, Timo Gerkmann
DriftRec: Adapting Diffusion Models to Blind JPEG Restoration. IEEE Trans. Image Process. 33 (2024)
Danilo de Oliveira, Timo Gerkmann
Distilling Hubert with LSTMs via Decoupled Knowledge Distillation. ICASSP (2024)
Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
Live Iterative Ptychography with Projection-Based Algorithms. ICASSP (2024)
Julius Richter, Yi-Chiao Wu, Steven Krenn, Simon Welker, Bunlong Lay, Shinji Watanabe, Alexander Richard, Timo Gerkmann
EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation. CoRR (2024)
Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
EMOCONV-Diff: Diffusion-Based Speech Emotion Conversion for Non-Parallel and in-the-Wild Data. ICASSP (2024)
Bunlong Lay, Sebastian Zaczek, Kristina Tesch, Timo Gerkmann
Robustness of Speech Separation Models for Similar-pitch Speakers. CoRR (2024)
Tal Peer, Simon Welker, Johannes Kolhoff, Timo Gerkmann
A Flexible Online Framework for Projection-Based Stft Phase Retrieval. ICASSP (2024)
Eloi Moliner, Jean-Marie Lemercier, Simon Welker, Timo Gerkmann, Vesa Välimäki
BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models. CoRR (2024)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa Välimäki, Timo Gerkmann
Diffusion Models for Audio Restoration. CoRR (2024)
Bunlong Lay, Timo Gerkmann
An Analysis of the Variance of Diffusion-based Speech Enhancement. CoRR (2024)
Kristina Tesch, Timo Gerkmann
Multi-Channel Speech Separation Using Spatially Selective Deep Non-Linear Filters. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann
Single and Few-Step Diffusion for Generative Speech Enhancement. ICASSP (2024)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition Using Bayesian Neural Networks and Label Distribution Learning. IEEE Trans. Affect. Comput. 15 (2) (2024)
Kristina Tesch, Timo Gerkmann
Multi-channel Speech Separation Using Spatially Selective Deep Non-linear Filters. CoRR (2023)
Kristina Tesch, Timo Gerkmann
Spatially Selective Deep Non-Linear Filters For Speaker Extraction. ICASSP (2023)
Huajian Fang, Timo Gerkmann
Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models. ICASSP (2023)
Julius Richter, Simone Frintrop, Timo Gerkmann
Audio-Visual Speech Enhancement with Score-Based Generative Models. CoRR (2023)
Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. CoRR (2023)
Jean-Marie Lemercier, Simon Welker, Timo Gerkmann
Diffusion Posterior Sampling for Informed Single-Channel Dereverberation. CoRR (2023)
Ehsan Yaghoubi, André Peter Kelm, Timo Gerkmann, Simone Frintrop
Acoustic and Visual Knowledge Distillation for Contrastive Audio-Visual Localization. ICMI (2023)
Jean-Marie Lemercier, Julian Tobergte, Timo Gerkmann
Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation. INTERSPEECH (2023)
Jean-Marie Lemercier, Simon Welker, Timo Gerkmann
Diffusion Posterior Sampling for Informed Single-Channel Dereverberation. WASPAA (2023)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models. CoRR (2023)
Bunlong Lay, Jean-Marie Lemercier, Julius Richter, Timo Gerkmann
Single and Few-step Diffusion for Generative Speech Enhancement. CoRR (2023)
Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. INTERSPEECH (2023)
Kristina Tesch, Timo Gerkmann
Insights Into Deep Non-Linear Filters for Improved Multi-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
Speech Signal Improvement Using Causal Generative Diffusion Models. CoRR (2023)
Tal Peer, Simon Welker, Johannes Kolhoff, Timo Gerkmann
A Flexible Online Framework for Projection-Based STFT Phase Retrieval. CoRR (2023)
Navin Raj Prabhu, Bunlong Lay, Simon Welker, Nale Lehmann-Willenbrock, Timo Gerkmann
EMOCONV-DIFF: Diffusion-based Speech Emotion Conversion for Non-parallel and In-the-wild Data. CoRR (2023)
Jean-Marie Lemercier, Julian Tobergte, Timo Gerkmann
Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation. CoRR (2023)
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
A neural network-supported two-stage algorithm for lightweight dereverberation on hearing devices. EURASIP J. Audio Speech Music. Process. 2023 (1) (2023)
Héctor Martel, Julius Richter, Kai Li, Xiaolin Hu, Timo Gerkmann
Audio-Visual Speech Separation in Noisy Environments with a Lightweight Iterative Model. INTERSPEECH (2023)
Huajian Fang, Dennis Becker, Stefan Wermter, Timo Gerkmann
Integrating Uncertainty into Neural Network-based Speech Enhancement. CoRR (2023)
Huajian Fang, Niklas Wittmer, Johannes Twiefel, Stefan Wermter, Timo Gerkmann
Partially Adaptive Multichannel Joint Reduction of Ego-Noise and Environmental Noise. ICASSP (2023)
Danilo de Oliveira, Timo Gerkmann
Distilling HuBERT with LSTMs via Decoupled Knowledge Distillation. CoRR (2023)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
In-the-wild Speech Emotion Conversion Using Disentangled Self-Supervised Representations and Neural Vocoder-based Resynthesis. CoRR (2023)
Danilo de Oliveira, Julius Richter, Jean-Marie Lemercier, Tal Peer, Timo Gerkmann
On the Behavior of Intrusive and Non-intrusive Speech Enhancement Metrics in Predictive and Generative Settings. CoRR (2023)
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann
Speech Enhancement and Dereverberation With Diffusion-Based Generative Models. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Huajian Fang, Niklas Wittmer, Johannes Twiefel, Stefan Wermter, Timo Gerkmann
Partially Adaptive Multichannel Joint Reduction of Ego-noise and Environmental Noise. CoRR (2023)
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model. CoRR (2023)
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Tal Peer, Timo Gerkmann
Speech Signal Improvement Using Causal Generative Diffusion Models. ICASSP (2023)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration. ICASSP (2023)
Huajian Fang, Dennis Becker, Stefan Wermter, Timo Gerkmann
Integrating Uncertainty Into Neural Network-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Danilo de Oliveira, Navin Raj Prabhu, Timo Gerkmann
Leveraging Semantic Information for Efficient Self-Supervised Emotion Recognition with Audio-Textual Distilled Models. INTERSPEECH (2023)
Bunlong Lay, Simon Welker, Julius Richter, Timo Gerkmann
Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement. CoRR (2023)
Tal Peer, Simon Welker, Timo Gerkmann
DiffPhase: Generative Diffusion-Based STFT Phase Retrieval. ICASSP (2023)
Simon Welker, Julius Richter, Timo Gerkmann
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. INTERSPEECH (2022)
Bunlong Lay, Timo Gerkmann
Speech Enhancement Regularized by a Speaker Verification Model. MMSP (2022)
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
End-To-End Optimization of Online Neural Network-supported Two-Stage Dereverberation for Hearing Devices. CoRR (2022)
Huajian Fang, Timo Gerkmann
Uncertainty Estimation in Deep Speech Enhancement Using Complex Gaussian Mixture Models. CoRR (2022)
Tal Peer, Simon Welker, Timo Gerkmann
DiffPhase: Generative Diffusion-based STFT Phase Retrieval. CoRR (2022)
Tal Peer, Simon Welker, Timo Gerkmann
Beyond Griffin-Lim: Improved Iterative Phase Retrieval for Speech. CoRR (2022)
Huajian Fang, Tal Peer, Stefan Wermter, Timo Gerkmann
Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. ICASSP (2022)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
End-to-End Label Uncertainty Modeling in Speech Emotion Recognition using Bayesian Neural Networks and Label Distribution Learning. CoRR (2022)
Kristina Tesch, Nils-Hendrik Mohrmann, Timo Gerkmann
On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement. CoRR (2022)
Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
Deep Iterative Phase Retrieval for Ptychography. ICASSP (2022)
Tal Peer, Timo Gerkmann
Phase-Aware Deep Speech Enhancement: It's All About The Frame Length. CoRR (2022)
Simon Welker, Henry N. Chapman, Timo Gerkmann
DriftRec: Adapting diffusion models to blind image restoration tasks. CoRR (2022)
Danilo de Oliveira, Tal Peer, Timo Gerkmann
Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes. CoRR (2022)
Kristina Tesch, Nils-Hendrik Mohrmann, Timo Gerkmann
On the Role of Spatial, Spectral, and Temporal Processing for DNN-based Non-linear Multi-channel Speech Enhancement. INTERSPEECH (2022)
Simon Welker, Julius Richter, Timo Gerkmann
Speech Enhancement with Score-Based Generative Models in the Complex STFT Domain. CoRR (2022)
Julius Richter, Simon Welker, Jean-Marie Lemercier, Bunlong Lay, Timo Gerkmann
Speech Enhancement and Dereverberation with Diffusion-based Generative Models. CoRR (2022)
Kristina Tesch, Timo Gerkmann
Spatially Selective Deep Non-linear Filters for Speaker Extraction. CoRR (2022)
Kristina Tesch, Timo Gerkmann
Insights into Deep Non-linear Filters for Improved Multi-channel Speech Enhancement. CoRR (2022)
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments. INTERSPEECH (2022)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration. CoRR (2022)
Tal Peer, Simon Welker, Timo Gerkmann
Beyond Griffin-LIM: Improved Iterative Phase Retrieval for Speech. IWAENC (2022)
Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann
StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation. CoRR (2022)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions. CoRR (2022)
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
Customizable End-to-end Optimization of Online Neural Network-supported Dereverberation for Hearing Devices. CoRR (2022)
Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
End-To-End Label Uncertainty Modeling for Speech-based Arousal Recognition Using Bayesian Neural Networks. INTERSPEECH (2022)
Simon Welker, Tal Peer, Henry N. Chapman, Timo Gerkmann
Deep Iterative Phase Retrieval for Ptychography. CoRR (2022)
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
Customizable End-To-End Optimization Of Online Neural Network-Supported Dereverberation For Hearing Devices. ICASSP (2022)
Huajian Fang, Tal Peer, Stefan Wermter, Timo Gerkmann
Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement. CoRR (2022)
Navin Raj Prabhu, Nale Lehmann-Willenbrock, Timo Gerkmann
Label Uncertainty Modeling and Prediction for Speech Emotion Recognition using t-Distributions. ACII (2022)
Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann
Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments. CoRR (2022)
Danilo de Oliveira, Tal Peer, Timo Gerkmann
Efficient Transformer-based Speech Enhancement Using Long Frames and STFT Magnitudes. INTERSPEECH (2022)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. WASPAA (2021)
Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. NeurIPS (2021)
Jean-Marie Lemercier, Leroy Bartel, David Ditter, Timo Gerkmann
An Integrated Deep Clustering-Based System for Speaker Count Agnostic Speech Separation. ITG Conference on Speech Communication (2021)
Navin Raj Prabhu, Guillaume Carbajal, Nale Lehmann-Willenbrock, Timo Gerkmann
End-to-end label uncertainty modeling for speech emotion recognition using Bayesian neural networks. CoRR (2021)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Disentanglement Learning for Variational Autoencoders Applied to Audio-Visual Speech Enhancement. CoRR (2021)
Tal Peer, Timo Gerkmann
Intelligibility Prediction of Speech Reconstructed From Its Magnitude or Phase. ITG Conference on Speech Communication (2021)
Robert Rehr, Timo Gerkmann
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel
Efficient Joint Estimation of Tracer Distribution and Background Signals in Magnetic Particle Imaging Using a Dictionary Approach. IEEE Trans. Medical Imaging 40 (12) (2021)
Tal Peer, Klaus-Johan Ziegert, Timo Gerkmann
Plosive Enhancement Using Phase Linearization and Smoothing. ITG Conference on Speech Communication (2021)
Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. ICASSP (2021)
Xiaolin Hu, Kai Li, Weiyi Zhang, Yi Luo, Jean-Marie Lemercier, Timo Gerkmann
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network. CoRR (2021)
Kristina Tesch, Timo Gerkmann
Nonlinear Spatial Filtering in Multichannel Speech Enhancement. CoRR (2021)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Guided Variational Autoencoder for Speech Enhancement With a Supervised Classifier. CoRR (2021)
Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder. CoRR (2021)
Danu Caus, Guillaume Carbajal, Timo Gerkmann, Simone Frintrop
See the Silence: Improving Visual-Only Voice Activity Detection by Optical Flow and RGB Fusion. ICVS (2021)
Kristina Tesch, Timo Gerkmann
Nonlinear Spatial Filtering in Multichannel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29 (2021)
Guillaume Carbajal, Julius Richter, Timo Gerkmann
Guided Variational Autoencoder for Speech Enhancement with a Supervised Classifier. ICASSP (2021)
Tobias Knopp, Mirco Grosser, Matthias Graeser, Timo Gerkmann, Martin Möddel
Dictionary-Based Background Signal Estimation For Magnetic Particle Imaging. ISBI (2021)
Huajian Fang, Guillaume Carbajal, Stefan Wermter, Timo Gerkmann
Joint Reduction of Ego-noise and Environmental Noise with a Partially-adaptive Dictionary. ITG Conference on Speech Communication (2021)
Thilo Fryen, Manfred Eppe, Phuong D. H. Nguyen, Timo Gerkmann, Stefan Wermter
Reinforcement Learning with Time-dependent Goals for Robotic Musicians. CoRR (2020)
Robert Rehr, Timo Gerkmann
SNR-Based Features and Diverse Training Data for Robust DNN-Based Speech Enhancement. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Timo Gerkmann