Tootfinder

SpeechRefiner: Towards Perceptual Quality Refinement for Front-End Algorithms
Sirui Li, Shuai Wang, Zhijun Liu, Zhongjie Jiang, Yannan Wang, Haizhou Li
https://arxiv.org/abs/2506.13709

SpeechRefiner: Towards Perceptual Quality Refinement for Front-End Algorithms
Speech pre-processing techniques such as denoising, de-reverberation, and separation, are commonly employed as front-ends for various downstream speech processing tasks. However, these methods can sometimes be inadequate, resulting in residual noise or the introduction of new artifacts. Such deficiencies are typically not captured by metrics like SI-SNR but are noticeable to human listeners. To address this, we introduce SpeechRefiner, a post-processing tool that utilizes Conditional Flow Match…

#FotoDerWoche aus dem in den letzten Tagen etwas regnerischen Garten.
https://blog.till-westermayer.de/index.php/2025/06/07/photo-of-the-week-fo…

Photo of the week: Forest strawberries
Nach und nach beginnt im Garten jetzt die Zeit der Ernte. Die letzten Wochen: überall Walderdbeeren und ein bisschen Rhabarber. Inzwischen sind die Johannisbeeren reif, die Stachelbeeren und absehbar auch die Kirschen machen sich bereit, und bei den Himbeeren lässt sich zumindest schon ahnen, dass d

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Chenheng Xu, Dan Wu, Yixin Zhu, Ying Nian Wu
https://arxiv.org/abs/2506.09174 htt…

Multivariate Long-term Time Series Forecasting with Fourier Neural Filter
Multivariate long-term time series forecasting has been suffering from the challenge of capturing both temporal dependencies within variables and spatial correlations across variables simultaneously. Current approaches predominantly repurpose backbones from natural language processing or computer vision (e.g., Transformers), which fail to adequately address the unique properties of time series (e.g., periodicity). The research community lacks a dedicated backbone with temporal-specific inductiv…

#Wasserstoff gilt als Hoffnungsträger für die #Dekarbonisierung, doch beim Transport durch bestehende #Erdgasleitungen gibt es

Pipelines for hydrogen transport: A review of integrity and safety challenges
The European Commission highlights hydrogen as an important energy carrier and chemical feedstock that could help decarbonise sectors otherwise deemed hard-to-abate. Europe’s existing natural gas grid is seen as a promising asset to repurpose for the transportation of hydrogen. This technical report provides a literature review of hydrogen's impact on pipeline materials, particularly steel and polymers. Hydrogen is known to reduce the ductility, fracture toughness, and the fatigue crack growt…

This https://arxiv.org/abs/2502.19961 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_…

High-contrast spectroscopy with the new VLT/ERIS instrument: Molecular maps and radial velocity of the gas giant AF Lep b
The Enhanced Resolution Imager and Spectrograph (ERIS) is the new Adaptive-Optics (AO) assisted Infrared instrument at the Very Large Telescope (VLT). Its refurbished Integral Field Spectrograph (IFS) SPIFFIER leverages a new AO module, enabling high-contrast imaging applications and giving access to the orbital and atmospheric characterisation of super-Jovian exoplanets. We test the detection limits of ERIS and demonstrate its scientific potential by exploring the atmospheric composition of th…

BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models
Susan Liang, Dejan Markovic, Israel D. Gebru, Steven Krenn, Todd Keebler, Jacob Sandakly, Frank Yu, Samuel Hassel, Chenliang Xu, Alexander Richard
https://arxiv.org/abs/2505.22865

BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models
Binaural rendering aims to synthesize binaural audio that mimics natural hearing based on a mono audio and the locations of the speaker and listener. Although many methods have been proposed to solve this problem, they struggle with rendering quality and streamable inference. Synthesizing high-quality binaural audio that is indistinguishable from real-world recordings requires precise modeling of binaural cues, room reverb, and ambient sounds. Additionally, real-world applications demand stream…