🔍 Join Our Team! We have exciting open positions: . 🎓 Postdoc: Data Science & AI for Speech & Audio .🎓 PhD/Postdoc: AI-based Speech & Audio.🎓 PhD: Diffusion Models for Speech Processing .🎓 3 PhD positions for Imaging & Speech. 🔗

RT @JuliusRichter13: Our recent paper investigates SGMSE and Schrödinger bridge for speech enhancement. We achieve 3.70 in PESQ on Voiceban….

The Signal Processing group at the University of Hamburg is looking for PhD students and a postdoc in AI-based Speech and Audio Signal Processing. We have two openings available. Apply now and join our team. #phdcandidate #postdocjobs.

RT @jm_lemercier: BUDDy: Single-Channel Blind Unsupervised Dereverberation with Diffusion Models. We present a fully unsupervised method fo….

This is what happens when you enhance an old WHAM! interview with SGMSE+ that has been trained on EARS-WHAM. 👉Further details about the new EARS dataset can be found here:

𝗣𝗵𝗗 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 „𝗗𝗶𝗳𝗳𝘂𝘀𝗶𝗼𝗻-𝗕𝗮𝘀𝗲𝗱 𝗗𝗲𝗲𝗽 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗠𝗼𝗱𝗲𝗹𝘀 𝗳𝗼𝗿 𝗦𝗽𝗲𝗲𝗰𝗵 𝗦𝗶𝗴𝗻𝗮𝗹 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗶𝗻𝗴“. Join us in pushing the state-of-the-art in this exciting field. Details and on how to apply:.

RT @ArxivSound: ``Diffusion Models for Audio Restoration,'' Jean-Marie Lemercier, Julius Richter, Simon Welker, Eloi Moliner, Vesa V\"alim\….

Happy to announce five accepted papers at @ieeeICASSP #ICASSP2024. Hope to see you there!. All papers and links to arxiv preprints can be found on our webpages.

We just opened a PhD or Postdoc position on AI-based speech and audio signal processing. Please see our webpage for details and on how to apply.

It had been a super nice ICASSP in Rhodes. We really enjoyed exchanging ideas with our peers. There are so many exciting things discussed in the community atm (diffusion, self-supervised, metrics, . ). Very much looking forward for the next events to come!

Happy to announce our two recently accepted IEEE/ACM TASL journals that show how score-based / diffusion models can be used for high quality signal improvement. Audio examples, paper and code are available here.

Happy to announce four papers at #INTERSPEECH2023 @ISCAInterspeech.on diffusion models, SSL for emotion recognition, audio-visual speech enhancement, and dereverberation. See details on our webpages.

We offer an exciting #PhDposition on deep multi-microphone speech enhancement. Please find details on our webpages.

Our newly developed causal version of our recent work on diffusion-based generative models for speech enhancement has been ranked in the Top 5 of the #ICASSP2023 Speech Signal Improvement Challenge and will be presented @ieeeICASSP.

We will be presenting 7 papers @ieeeICASSP, on diffusion models, uncertainty estimation, and nonlinear joint spatial-spectral filtering, including our Top 5 contribution to the #ICASSP2023 Speech Signal Improvement Challenge.

Happy to announce 5 accepted papers for ICASSP 2023! They address in particular.* Diffusion models.* Nonlinear joint spatial-spectral filtering.* Uncertainty Estimation in Speech Enhancement. #ICASSP2023.

We are pleased to share our new work: „Speech Enhancement and Dereverberation with Diffusion-based Generative Models“ with exciting audio examples. Pre-print: Audio examples: Code: . #diffusion.

Great news: We receive the VDE ITG award 2022 for our contribution which motivates the use of DNNs for nonlinear joint spatial-spectral filtering to replace sequential linear spatial filtering + postfiltering in speech enhancement. Don't miss this paper.

We are happy to announce 5 papers at Interspeech 2022 on speech enhancement and emotion recognition using e.g. Score Based Models, Bayesian DNNs, Transformers, End-to-End, and Deep Kalman .See our webpages for details #interspeech2022.

Happy to announce 3 papers at #icassp2022 Customizable End-To-End Optimization Of Online Neural Network-Supported Dereverberation For Hearing Devices.Integrating Statistical Uncertainty Into Neural Network-Based Speech Enhancement.Deep Iterative Phase Retrieval For Ptychography.