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  • 15 Feb 2024 - Diffusion Models for Audio Restoration

    Submitted to IEEE Signal Processing Magazine.

    Authors : Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa Välimäki, Timo Gerkmann

    • Keywords :
      • Diffusion Models
      • Overview
      • Audio Restoration
      • Model-based Signal Processing
  • 30 Oct 2023 - Diffusion posterior sampling for informed single-channel dereverberation

    Accepted at WASPAA 2023.

    Authors : Jean-Marie Lemercier, Simon Welker, Timo Gerkmann

    • Keywords :
      • Diffusion Models
      • Dereverberation
      • Inverse Problems
      • Posterior Sampling
  • 15 Sep 2023 - Wind Noise Reduction with a Diffusion-based Stochastic Regeneration Model

    Accepted to VDE 15th ITG conference on Speech Communication.

    Authors : Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann

    • Keywords :
      • Diffusion Models
      • Wind Noise
      • Speech Enhancement
  • 01 Aug 2023 - StoRM - A diffusion-based stochastic regeneration model for speech enhancement and dereverberation

    Published in IEEE Transactions on Audio, Speech and Language Processing.

    Authors : Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann

    • Keywords :
      • Diffusion Models
      • Speech Enhancement
      • Dereverberation
      • Neural network
  • 30 May 2023 - Extending DNN-based Multiplicative Masking to Deep Subband Filtering for Improved Dereverberation

    Accepted at Interspeech 2023.

    Authors : Jean-Marie Lemercier, Julian Tobergte, Timo Gerkmann

    • Keywords :
      • Multi-frame filtering
      • Subband approximation
      • Dereverberation
      • Denoising
      • Neural network
  • 01 Apr 2023 - A Neural Network-supported Two-stage Algorithm for Lightweight Dereverberation on Hearing Devices

    Accepted at EURASIP Journal on Audio, Speech, and Music Processing.

    Authors : Jean-Marie Lemercier, Joachim Thiemann, Raphael Koning, Timo Gerkmann

    • Keywords :
      • Dereverberation
      • Neural network
      • End‑to‑end learning
      • Hearing devices
  • 01 Dec 2022 - Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech Restoration

    Accepted at ICASSP 2023.

    Authors : Jean-Marie Lemercier, Julius Richter, Simon Welker, Timo Gerkmann

    • Keywords :
      • Generative modelling
      • Diffusion models
      • Speech enhancement
      • Dereverberation
      • Bandwidth extension
  • 01 Jun 2022 - Neural Network-augmented Kalman Filtering for Robust Online Speech Dereverberation in Noisy Reverberant Environments

    Accepted at Interspeech 2022.

    Authors : Jean-Marie Lemercier, Joachim Thiemann, Raphael Konig, Timo Gerkmann

    • Keywords :
      • Dereverberation
      • Kalman Filtering
      • Adaptive Processing
      • Neural Network
      • End-to-end Training
  • 01 Nov 2021 - Customizable end-to-end optimization of online neural network-supported dereverberation for hearing devices

    Accepted at ICASSP 2022.

    Authors : Jean-Marie Lemercier, Joachim Thiemann, Raphael Konig, Timo Gerkmann

    • Keywords :
      • Online Algorithm
      • Dereverberation
      • Neural Network
      • End-to-end Learning
      • Hearing devices
  • 01 Sep 2021 - An Integrated Deep Clustering-Based System for Speaker Count Agnostic Speech Separation

    Accepted at 14th ITG Conference on Speech Communication.

    Authors : Jean-Marie Lemercier, Leroy Bartel, David Ditter, Timo Gerkmann

    • Keywords :
      • Speech Separation
      • Speaker Counting
      • Deep Clustering
      • Multi-task Learning
  • 06 Feb 2020 - Bio-inspired Encoders for Temporal Convolutional Networks performing Speech Enhancement and Separation

    Imperial College London MSc Thesis supervised by Dr Dan F. M. Goodman and Prof. Dr-Ing. Timo Gerkmann on bio-inspired neural networks for speech enhancement and separation.

    Authors : Jean-Marie Lemercier

    • Keywords :
      • Auditory modelling
      • Neural Networks
      • Nonlinear Filters
      • PyTorch
      • Bio-inspired technologies
  • 13 Jan 2020 - Electroacoustic study of new types of loudspeakers

    A 6-month IRCAM-led study on innovative loudspeaker prototypes by Voxline Audio. Traditional measurement methods were used as well as innovative Post-Hamiltonian Systems modelling and new harmonic content analysis.

    Authors : Jean-Marie Lemercier

    • Keywords :
      • HiFi
      • Loudspeaker
      • Acoustics
      • Nonlinear multiphysics modelling
      • Port-Hamiltonian Systems
      • Homophase Signals
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