Tootfinder

Rheinmetall, Kyiv agree to start producing Lynx armored vehicles in Ukraine in 2024: https://benborges.xyz/2024/06/12/rheinmetall-kyiv-agree.html

It seems paradoxical - I strive to reduce greenhouse gas emissions in all areas of my life, except somehow I end up travelling for work by plane fairly regularly, which obliterates anything I can reduce personally. Now you could argue that work travel shouldn't land on my personal carbon tab. And I agree with that, but I still wrestle with my conscience.
It worries me.

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
William Ravenscroft, George Close, Stefan Goetze, Thomas Hain, Mohammad Soleymanpour, Anurag Chowdhury, Mark C. Fuhs
https://arxiv.org/abs/2406.08914

Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition
One solution to automatic speech recognition (ASR) of overlapping speakers is to separate speech and then perform ASR on the separated signals. Commonly, the separator produces artefacts which often degrade ASR performance. Addressing this issue typically requires reference transcriptions to jointly train the separation and ASR networks. This is often not viable for training on real-world in-domain audio where reference transcript information is not always available. This paper proposes a trans…

Representation-protected topology of spin-singlet $s$-wave superconductors
Shingo Kobayashi, Akira Furusaki
https://arxiv.org/abs/2406.07939 https://

Representation-protected topology of spin-singlet $s$-wave superconductors
We show that spin-singlet $s$-wave multi-band superconductors have a topological phase protected by rotation symmetry and time-reversal symmetry without spin-orbit coupling in two and three dimensions. This topological phase, an example of a representation-protected topological phase, has a $\mathbb{Z}_2$ topological index and is stable as long as the bands at the Fermi energy are formed by a doublet of orbital states with finite angular momenta. In the limit of weak superconducting pair potent…

Political Leaning Inference through Plurinational Scenarios
Joseba Fernandez de Landa, Rodrigo Agerri
https://arxiv.org/abs/2406.07964 https://

Political Leaning Inference through Plurinational Scenarios
Social media users express their political preferences via interaction with other users, by spontaneous declarations or by participation in communities within the network. This makes a social network such as Twitter a valuable data source to study computational science approaches to political learning inference. In this work we focus on three diverse regions in Spain (Basque Country, Catalonia and Galicia) to explore various methods for multi-party categorization, required to analyze evolving a…

Investigating Mutual Coupling in the Hydrogen Epoch of Reionization Array and Mitigating its Effects on the 21-cm Power Spectrum
E. Rath, R. Pascua, A. T. Josaitis, A. Ewall-Wice, N. Fagnoni, E. de Lera Acedo, Z. E. Martinot, Z. Abdurashidova, T. Adams, J. E. Aguirre, R. Baartman, A. P. Beardsley, L. M. Berkhout, G. Bernardi, T. S. Billings, J. D. Bowman, P. Bull, J. Burba, R. Byrne, S. Carey, K. -F. Chen, S. Choudhuri, T. Cox, D. R. DeBoer, M. Dexter, J. S. Dillon, S. Dynes, N. Ekstee…

Investigating Mutual Coupling in the Hydrogen Epoch of Reionization Array and Mitigating its Effects on the 21-cm Power Spectrum
Interferometric experiments designed to detect the highly redshifted 21-cm signal from neutral hydrogen are producing increasingly stringent constraints on the 21-cm power spectrum, but some k-modes remain systematics-dominated. Mutual coupling is a major systematic that must be overcome in order to detect the 21-cm signal, and simulations that reproduce effects seen in the data can guide strategies for mitigating mutual coupling. In this paper, we analyse 12 nights of data from the Hydrogen Ep…

Dynamical properties of mildly relativistic ejecta produced by the mass-loading of gamma-ray burst jets in dense ambient media
Akihiro Suzuki, Christopher M. Irwin, Keiichi Maeda
https://arxiv.org/abs/2406.06939

Dynamical properties of mildly relativistic ejecta produced by the mass-loading of gamma-ray burst jets in dense ambient media
We present the results of a series of 3D special relativistic hydrodynamic simulations of a gamma-ray burst (GRB) jet in a massive circumstellar medium (CSM) surrounding the progenitor star. Our simulations reproduce the jet morphology transitioning from a well-collimated state to a thermal pressure-driven state for a range of CSM masses and outer radii. The jet-CSM interaction redistributes the jet energy to materials expanding into a wide solid angle and results in a quasi-spherical ejecta wi…

Learning dynamical behaviors in physical systems
Rituparno Mandal, Rosalind Huang, Michel Fruchart, Pepijn G. Moerman, Suriyanarayanan Vaikuntanathan, Arvind Murugan, Vincenzo Vitelli
https://arxiv.org/abs/2406.07856

Learning dynamical behaviors in physical systems
Physical learning is an emerging paradigm in science and engineering whereby (meta)materials acquire desired macroscopic behaviors by exposure to examples. So far, it has been applied to static properties such as elastic moduli and self-assembled structures encoded in minima of an energy landscape. Here, we extend this paradigm to dynamic functionalities, such as motion and shape change, that are instead encoded in limit cycles or pathways of a dynamical system. We identify the two ingredients …

A Single-Step Non-Autoregressive Automatic Speech Recognition Architecture with High Accuracy and Inference Speed
Ziyang Zhuang, Chenfeng Miao, Kun Zou, Shuai Gong, Ming Fang, Tao Wei, Zijian Li, Wei Hu, Shaojun Wang, Jing Xiao
https://arxiv.org/abs/2406.08835

A Single-Step Non-Autoregressive Automatic Speech Recognition Architecture with High Accuracy and Inference Speed
Non-autoregressive (NAR) automatic speech recognition (ASR) models predict tokens independently and simultaneously, bringing high inference speed. However, there is still a gap in the accuracy of the NAR models compared to the autoregressive (AR) models. To further narrow the gap between the NAR and AR models, we propose a single-step NAR ASR architecture with high accuracy and inference speed, called EfficientASR. It uses an Index Mapping Vector (IMV) based alignment generator to generate alig…

Investigating Mutual Coupling in the Hydrogen Epoch of Reionization Array and Mitigating its Effects on the 21-cm Power Spectrum
E. Rath, R. Pascua, A. T. Josaitis, A. Ewall-Wice, N. Fagnoni, E. de Lera Acedo, Z. E. Martinot, Z. Abdurashidova, T. Adams, J. E. Aguirre, R. Baartman, A. P. Beardsley, L. M. Berkhout, G. Bernardi, T. S. Billings, J. D. Bowman, P. Bull, J. Burba, R. Byrne, S. Carey, K. -F. Chen, S. Choudhuri, T. Cox, D. R. DeBoer, M. Dexter, J. S. Dillon, S. Dynes, N. Ekstee…

Investigating Mutual Coupling in the Hydrogen Epoch of Reionization Array and Mitigating its Effects on the 21-cm Power Spectrum
Interferometric experiments designed to detect the highly redshifted 21-cm signal from neutral hydrogen are producing increasingly stringent constraints on the 21-cm power spectrum, but some k-modes remain systematics-dominated. Mutual coupling is a major systematic that must be overcome in order to detect the 21-cm signal, and simulations that reproduce effects seen in the data can guide strategies for mitigating mutual coupling. In this paper, we analyse 12 nights of data from the Hydrogen Ep…