Tootfinder

Modelling intermediate internal waves with currents and variable bottom
Rossen Ivanov, Lyudmila Ivanova
https://arxiv.org/abs/2506.10123 https://

Modelling intermediate internal waves with currents and variable bottom
A model for internal interfacial waves between two layers of fluid in the presence of current and variable bottom is studied in the flat-surface approximation. Fluids are assumed to be incompressible and inviscid. Another assumption is that the upper layer is considerably deeper with a lower density than the lower layer. The fluid dynamics is presented in Hamiltonian form with appropriate Dirichlet-Neumann operators for the two fluid domains, and the depth-dependent current is taken into accoun…

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new/
[1/1]:
Optimal Scalogram for Computational Complexity Reduction in Acoustic Recognition Using Deep Learning

Low-Power Optical Actuation of n-GaAs Cantilevers via Surface Piezoelectric Coupling
Ayel\'en Prado, Diego Perez-Morelo, Leonardo Salazar Alarc\'on, Hern\'an Pastoriza
https://arxiv.org/abs/2506.10836

Low-Power Optical Actuation of n-GaAs Cantilevers via Surface Piezoelectric Coupling
The mechanical behavior of any semiconductor microstructure is inevitably coupled to light. In the case of micro mechanical resonators (MEMs), carrier generation can affect the quality factor of the resonance through electron-phonon scattering and ohmic losses, but it may also inject energy into the structure and induce movement. Thus, semiconductor MEMs may be regarded as intrinsically optomechanical systems. Here, we report on the optical actuation of a simple-clamped n-GaAs cantilever. This …

Learning Chaotic Dynamics with Neuromorphic Network Dynamics
Yinhao Xu, Georg A. Gottwald, Zdenka Kuncic
https://arxiv.org/abs/2506.10773 https://

Learning Chaotic Dynamics with Neuromorphic Network Dynamics
This study investigates how dynamical systems may be learned and modelled with a neuromorphic network which is itself a dynamical system. The neuromorphic network used in this study is based on a complex electrical circuit comprised of memristive elements that produce neuro-synaptic nonlinear responses to input electrical signals. To determine how computation may be performed using the physics of the underlying system, the neuromorphic network was simulated and evaluated on autonomous predictio…

A7: An aperiodic set of 7 square dominoes
Vincent Van Dongen
https://arxiv.org/abs/2505.06237 https://arxiv.org/pdf/2505.06237…

A7: An aperiodic set of 7 square dominoes
This paper presents an aperiodic tileset of 7 square dominoes. We call it A7 as it directly relates to the aperiodic set Ammann A3. We start with a description of the tileset. We then present Ammann A3 and its direct link with tileset A7.

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): III. Dust and Gas Disk Properties in the Lupus Star-forming Region
Dingshan Deng, Miguel Vioque, Ilaria Pascucci, Laura M. P\'erez, Ke Zhang, Nicol\'as T. Kurtovic, Leon Trapman, Estephani E. TorresVillanueva, Carolina Agurto-Gangas, John Carpenter, Paola Pinilla, Uma Gorti, Beno\^it Tabone, Anibal Sierra, Giovanni P. Rosotti, Lucas A. Cieza, Rossella Anania, Camilo Gonz\'alez-Ruilova, Michiel R. Hogerheijd…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): III. Dust and Gas Disk Properties in the Lupus Star-forming Region
We present Band 6 and Band 7 observations of 10 Lupus disks around M3-K6 stars from the ALMA survey of Gas Evolution in PROtoplanetary disks (AGE-PRO) Large Program. In addition to continuum emission in both bands, our Band 6 setup covers the $\mathrm{{}^{12}CO}$, $\mathrm{{}^{13}CO}$ and $\mathrm{C^{18}O}\,J$=2-1 lines, while our Band 7 setup covers the $\mathrm{N_2H^+}\,J$=3-2 line. All of our sources are detected in $\mathrm{{}^{12}CO}$ and $\mathrm{{}^{13}CO}$, 7 out of 10 are detected in $…

[2025-06-13 Fri (UTC), 7 new articles found for math.AG Algebraic Geometry]
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Analytic Dilogarithm Identities
Cetin Hakimoglu
https://arxiv.org/abs/2506.10206 https://arxiv.org/pdf/2506.10206

Analytic Dilogarithm Identities
By showing that the ratio of two beta-like integrals equals an integer, new Dilogarithm identities are derived, as well as analytic proofs to conjectured identities. New, non-trivial 2-term and ladder-like Dilogarithm identities are derived about ${Q}[\sqrt{2}]$, ${Q}[\sqrt{5}]$, ${Q}[\sqrt{-7}]$, and ${Q}[\sqrt{3}]$, . This also leads also to a connection between identities ${Q}[\sqrt{13}]$ and ${Q}[\sqrt{3}]$. Single-term and two-term complex Dilogarithm identities are derived, in addition to…

[2025-06-13 Fri (UTC), 7 new articles found for cs.SD Sound]
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Unlocking the mystery of Sr synthesis in the early Galaxy through analysis of barium isotopes in very metal-poor stars
T. M. Sitnova, L. Lombardo, L. I. Mashonkina, F. Rizzuti, G. Cescutti, C. J. Hansen, P. Bonifacio, E. Caffau, A. Koch-Hansen, G. Meynet, R. Fernandes de Melo
https://arxiv.org/abs/2506.10193

Unlocking the mystery of Sr synthesis in the early Galaxy through analysis of barium isotopes in very metal-poor stars
We determine the contributions of the rapid (r) and slow (s) neutron capture processes to the Ba isotope mixture, along with Ba, Eu, and Sr NLTE abundances, in a sample of very metal-poor stars. The selected stars formed before the contribution from the main s-process in low- and intermediate-mass stars became significant. Some of our sample stars are enhanced in Sr, with [Sr/Ba] reaching up to 0.7. These stars gained their high Sr abundance from a poorly understood process, which may appear to…

Time-scales of polycyclic aromatic hydrocarbon and dust continuum emission from gas clouds compared to molecular gas cloud lifetimes in PHANGS-JWST galaxies
Jaeyeon Kim, M\'elanie Chevance, Lise Ramambason, Kathryn Kreckel, Ralf S. Klessen, Daniel A. Dale, Adam K. Leroy, Karin Sandstrom, Ryan Chown, Thomas G. Williams, Sumit K. Sarbadhicary, Francesco Belfiore, Frank Bigiel, Enrico Congiu, Oleg V. Egorov, Eric Emsellem, Simon C. O. Glover, Kathryn Grasha, Annie Hughes, J. M. Dieder…

Time-scales of polycyclic aromatic hydrocarbon and dust continuum emission from gas clouds compared to molecular gas cloud lifetimes in PHANGS-JWST galaxies
Recent JWST mid-infrared (mid-IR) images, tracing polycyclic aromatic hydrocarbons (PAHs) and dust continuum emission, provide detailed views of the interstellar medium (ISM) in nearby galaxies. Leveraging PHANGS-JWST Cycle 1 and PHANGS-MUSE data, we measure the PAH and dust continuum emission lifetimes of gas clouds across 17 nearby star-forming galaxies by analyzing the relative spatial distributions of mid-IR (7.7-11.3$μ$m) and H$α$ emission at various scales. We find that the mid-IR emitt…

Playing in the Sandbox: A Study on the Usability of Seccomp
Maysara Alhindi, Joseph Hallett
https://arxiv.org/abs/2506.10234 https://…

Playing in the Sandbox: A Study on the Usability of Seccomp
Sandboxing restricts what applications do, and prevents exploited processes being abused; yet relatively few applications get sandboxed: why? We report a usability trial with 7 experienced Seccomp developers exploring how they approached sandboxing an application and the difficulties they faced. The developers each approached sandboxing the application differently and each came to different solutions. We highlight many challenges of using Seccomp, the sandboxing designs by the participants, and…

[2025-06-13 Fri (UTC), 7 new articles found for astro-ph.CO Cosmology and Nongalactic Astrophysics]
toXiv_bot_toot

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[7/7]:
PerfTracker: Online Performance Troubleshooting for Large-scale Model Training in Production

[2025-06-13 Fri (UTC), 7 new articles found for cs.GR Graphics]
toXiv_bot_toot

Construction of Kondo Chains by Engineering Porphyrin {\pi}-Radicals on Au(111)
Yan Zhao, Kaiyue Jiang, Peng-Yi Liu, Ruoning Li, Jie Li, Xin Li, Xinchen Fang, Anjing Zhao, Yutong Zhu, Hongxiang Xu, Ting Chen, Dong Wang, Xiaodong Zhuang, Shimin Hou, Kai Wu, Song Gao, Qing-Feng Sun, Yajie Zhang, Yongfeng Wang
https://arxiv.org/abs…

Construction of Kondo Chains by Engineering Porphyrin π-Radicals on Au(111)
Quantum manipulation of molecular radical spins provides a crucial platform for exploring emergent phenomena in many-body systems. Here, we combine surface-confined synthesis with scanning tunneling microscopy (STM) tip-induced dehydrogenation to achieve atom-precise engineering of quasi-one-dimensional porphyrin-based Kondo chains (1-7 units) on Au(111). Key design innovations leverage large-sized porphyrins to suppress intrachain antiferromagnetic coupling, while ${Zn}^{2+}$ chelation at porp…

[2025-06-13 Fri (UTC), 7 new articles found for physics.chem-ph Chemical Physics]
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Generalized Modulated Symmetries in $\mathbb{Z}_2$ Topological Ordered Phases
Gustavo M. Yoshitome, Heitor Casasola, Rodrigo Corso, Pedro R. S. Gomes
https://arxiv.org/abs/2506.10819

Generalized Modulated Symmetries in $\mathbb{Z}_2$ Topological Ordered Phases
We study $\mathbb{Z}_2$ topological ordered phases in 2+1 dimensions characterized by generalized modulated symmetries. Such phases have explicit realizations in terms of fixed-point Hamiltonians involving commuting projectors with support $h=3,5,7,\ldots$ in the horizontal direction, which dictates the modulation of the generalized symmetries. These symmetries are sensitive to the lattice sizes. For certain sizes, they are spontaneously broken and the ground state is degenerated, while for the…

[2025-06-13 Fri (UTC), 1 new article found for nlin.PS Pattern Formation and Solitons]
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FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition
Jongsuk Kim, Jaemyung Yu, Minchan Kwon, Junmo Kim
https://arxiv.org/abs/2506.10747

FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition
Large-scale ASR models have achieved remarkable gains in accuracy and robustness. However, fairness issues remain largely unaddressed despite their critical importance in real-world applications. In this work, we introduce FairASR, a system that mitigates demographic bias by learning representations that are uninformative about group membership, enabling fair generalization across demographic groups. Leveraging a multi-demographic dataset, our approach employs a gradient reversal layer to suppr…

Barium Calcium Zirconium Titanate Thin Film-Based Capacitive Thermoelectric Converter for Low-Grade Waste Heat
Mohammad K. Al Thehaiban, Vladimir S. Getov, Qiaomu Yao, Chukwudike C. Ukeje, Peter K. Petrov
https://arxiv.org/abs/2506.10759

Barium Calcium Zirconium Titanate Thin Film-Based Capacitive Thermoelectric Converter for Low-Grade Waste Heat
A capacitive thermoelectric device can harvest thermal energy and convert it to electrical energy by employing a temperature-dependent dielectric material whose permittivity sharply changes with temperature. Electricity can be generated by fluctuating the temperature of the capacitor. Currently, capacitive thermoelectric devices are not broadly used, which can be attributed to the low efficiency of the existing solutions, the lack of dielectric materials with suitable temperature non-linearity …

Equations of state and stability condition of mixed p-spin glass model
Ali Talebi
https://arxiv.org/abs/2506.10579 https://arxiv.org/…

Equations of state and stability condition of mixed p-spin glass model
The Sherrington-Kirkpatrick (SK) is a foundational model for understanding spin glass systems. It is based on the pairwise interaction between each two spins in a fully connected lattice with quenched disordered interactions. The nature of long-range interaction among spins in the (SK) model simplifies the study of this system by eliminating fluctuations. An advanced (SK) model, known as the p-spin model, introduces higher-order interactions that involve the interaction of P spins. This researc…

[2025-06-12 Thu (UTC), 7 new articles found for stat.ML Machine Learning]
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Towards Bridging Formal Methods and Human Interpretability
Abhijit Paul, Proma Chowdhury, Kazi Sakib
https://arxiv.org/abs/2506.09759 https://

Towards Bridging Formal Methods and Human Interpretability
Labeled Transition Systems (LTS) are integral to model checking and design repair tools. System engineers frequently examine LTS designs during model checking or design repair to debug, identify inconsistencies, and validate system behavior. Despite LTS's significance, no prior research has examined human comprehension of these designs. To address this, we draw on traditional software engineering and graph theory, identifying 7 key metrics: cyclomatic complexity, state space size, average branc…

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(\epsilon^{-4/7})$ Second-Order Oracle Complexity
Lesi Chen, Chengchang Liu, Luo Luo, Jingzhao Zhang
https://arxiv.org/abs/2506.08362

Solving Convex-Concave Problems with $\tilde{\mathcal{O}}(ε^{-4/7})$ Second-Order Oracle Complexity
Previous algorithms can solve convex-concave minimax problems $\min_{x \in \mathcal{X}} \max_{y \in \mathcal{Y}} f(x,y)$ with $\mathcal{O}(ε^{-2/3})$ second-order oracle calls using Newton-type methods. This result has been speculated to be optimal because the upper bound is achieved by a natural generalization of the optimal first-order method. In this work, we show an improved upper bound of $\tilde{\mathcal{O}}(ε^{-4/7})$ by generalizing the optimal second-order method for convex optimizat…

Search for the charmonium weak decays $J/\psi\to D_{s}^{-}\rho^{ } c.c.$ and $J/\psi\to D_{s}^{-}\pi^{ } c.c.$
BESIII Collaboration, et al.
https://arxiv.org/abs/2506.09386

Search for the charmonium weak decays $J/ψ\to D_{s}^{-}ρ^{+}+c.c.$ and $J/ψ\to D_{s}^{-}π^{+}+c.c.$
Based on $(10087\pm44)\times 10^6$ $J/ψ$ events recorded with the BESIII detector, we search for the rare charmonium weak decays $J/ψ\to D_{s}^{-}ρ^{+}+c.c.$ and $J/ψ\to D_{s}^{-}π^{+}+c.c.$ No signal is observed, and upper limits on the branching fractions at the $90\%$ confidence level are set as $\mathcal{B}(J/ψ\to D_{s}^{-}ρ^{+}+c.c.)<8.0\times10^{-7}$ and $\mathcal{B}(J/ψ\to D_{s}^{-}π^{+}+c.c.)<4.1\times10^{-7}$. Our results provide the most stringent experimental constraints on …

[2025-06-12 Thu (UTC), 7 new articles found for cs.NI Networking and Internet Architecture]
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AMUSE-Antlia. II. Intracluster X-ray Population in the Antlia Cluster
Zhensong Hu, Yuanyuan Su, Zhiyuan Li, Meicun Hou, Ralph P. Kraft, Kelley M. Hess, Hao Chen
https://arxiv.org/abs/2506.09734

AMUSE-Antlia. II. Intracluster X-ray Population in the Antlia Cluster
We conduct a systematic survey of X-ray sources in the inner ($r\sim200$ kpc) region of the Antlia cluster based on \Chandra observations, down to a source detection limit of $ L(0.5\text{--}8\ \mathrm{keV})\sim4.2\times10^{-7}\ \mathrm{ph\ cm^{-2}\ s^{-1}}$ ($2\times10^{38}\ \mathrm{erg\ s^{-1}}$). We present an X-ray source catalog with 202 sources and provide their coordinates, multi-band flux information and hardness ratios. We find a statistically significant excess at a significance level…

[2025-06-12 Thu (UTC), 7 new articles found for q-bio.QM Quantitative Methods]
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Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification
Peidong Wei Shiyu Miao Lin Li
https://arxiv.org/abs/2506.10698 https://

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification
Deep neural networks have been applied to audio spectrograms for respiratory sound classification, but it remains challenging to achieve satisfactory performance due to the scarcity of available data. Moreover, domain mismatch may be introduced into the trained models as a result of the respiratory sound samples being collected from various electronic stethoscopes, patient demographics, and recording environments. To tackle this issue, we proposed a modified MaskedAutoencoder(MAE) model, named …

Effect of current on terahertz plasmons in AlGaN/GaN heterostructures
M. Dub (CENTERA, CEZAMAT, Warsaw University of Technology, 02-822 Warsaw, Poland, Institute of High Pressure Physics PAS, 01-142 Warsaw, Poland), P. Sai (CENTERA, CEZAMAT, Warsaw University of Technology, 02-822 Warsaw, Poland, Institute of High Pressure Physics PAS, 01-142 Warsaw, Poland), Y. Ivonyak (CENTERA, CEZAMAT, Warsaw University of Technology, 02-822 Warsaw, Poland, Institute of High Pressure Physics PAS, 01…

Effect of current on terahertz plasmons in AlGaN/GaN heterostructures
Terahertz transmittance spectra of plasmonic crystals based on two-dimensional electron gas in AlGaN/GaN heterostructures were studied in grating-gate and gateless plasmonic crystals as a function of lateral bias. The decrease of the plasmon resonance frequencies (redshift) with increase of the lateral current was observed for both types of structures. We show that the change of the electron concentration profile and Joule heating are the main phenomena responsible for the shift of plasma reson…

On the role of non-linear latent features in bipartite generative neural networks
Tony Bonnaire, Giovanni Catania, Aur\'elien Decelle, Beatriz Seoane
https://arxiv.org/abs/2506.10552

On the role of non-linear latent features in bipartite generative neural networks
We investigate the phase diagram and memory retrieval capabilities of bipartite energy-based neural networks, namely Restricted Boltzmann Machines (RBMs), as a function of the prior distribution imposed on their hidden units - including binary, multi-state, and ReLU-like activations. Drawing connections to the Hopfield model and employing analytical tools from statistical physics of disordered systems, we explore how the architectural choices and activation functions shape the thermodynamic pro…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): IV. Dust and Gas Disk Properties in the Upper Scorpius Star-forming Region
Carolina Agurto-Gangas, L. M. P\'erez, Anibal Sierra, James Miley, Ke Zhang, Ilaria Pascucci, Paola Pinilla, Dingshan Deng, John Carpenter, Leon Trapman, Miguel Vioque, Giovanni P. Rosotti, Nicol\'as Kurtovic, Lucas A. Cieza, Kamber Schwarz, Michiel R. Hogerheijde, Rossella Anania, Beno\^it Tabone, Estephani E. Torres-Villanueva, Dary A.…

The ALMA Survey of Gas Evolution of PROtoplanetary Disks (AGE-PRO): IV. Dust and Gas Disk Properties in the Upper Scorpius Star-forming Region
The Atacama Large Millimeter/submillimeter Array (ALMA) large program AGE-PRO explores protoplanetary disk evolution by studying gas and dust across various ages. This work focuses on ten evolved disks in Upper Scorpius, observed in dust continuum emission, CO and its isotopologues, and N$_2$H$^+$ with ALMA Bands 6 and 7. Disk radii, from the radial location enclosing 68% of the flux, are comparable to those in the younger Lupus region for both gas and dust tracers. However, solid masses are ab…

[2025-06-11 Wed (UTC), 7 new articles found for cs.DC Distributed, Parallel, and Cluster Computing]
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Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[6/7]:
Spatial Reasoning with Denoising Models
https://…

Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes
Rogier C. van Dalen, Shucong Zhang, Titouan Parcollet, Sourav Bhattacharya
https://arxiv.org/abs/2506.10653

Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes
Speech recognisers usually perform optimally only in a specific environment and need to be adapted to work well in another. For adaptation to a new speaker, there is often too little data for fine-tuning to be robust, and that data is usually unlabelled. This paper proposes a combination of approaches to make adaptation to a single minute of data robust. First, instead of estimating the adaptation parameters with cross-entropy on a single error-prone hypothesis or "pseudo-label", this paper pro…

Realization of Weyl elastic metamaterials with spin skyrmions
Yuang Pan, Liang Si, Miao Yang, Ning Han, Li Zhang, Qiaolu Chen, Rui Zhao, Fujia Chen, Yudong Ren, Wenhao Li, Yuze Hu, Mingyu Tong, Xinrui Li, Junyao Wu, Ronghao Bao, Weiqiu Chen, Yang Long, Bin Wu, Hongsheng Chen, Baile Zhang, Yihao Yang
https://arxiv.org/abs/2506.10…

Realization of Weyl elastic metamaterials with spin skyrmions
Topological elastic metamaterials provide a topologically robust way to manipulate the phononic energy and information beyond the conventional approaches. Among various topological elastic metamaterials, Weyl elastic metamaterials stand out, as they are unique to three dimensions and exhibit numerous intriguing phenomena and potential applications. To date, however, the realization of Weyl elastic metamaterials remains elusive, primarily due to the full-vectoral nature of elastic waves and the …

[2025-06-13 Fri (UTC), 3 new articles found for cond-mat.dis-nn Disordered Systems and Neural Networks]
toXiv_bot_toot

Joint ASR and Speaker Role Tagging with Serialized Output Training
Anfeng Xu, Tiantian Feng, Shrikanth Narayanan
https://arxiv.org/abs/2506.10349 https://

Joint ASR and Speaker Role Tagging with Serialized Output Training
Automatic Speech Recognition systems have made significant progress with large-scale pre-trained models. However, most current systems focus solely on transcribing the speech without identifying speaker roles, a function that is critical for conversational AI. In this work, we investigate the use of serialized output training (SOT) for joint ASR and speaker role tagging. By augmenting Whisper with role-specific tokens and fine-tuning it with SOT, we enable the model to generate role-aware trans…

Ramanujan's partition generating functions modulo $\ell$
Kathrin Bringmann, William Craig, Ken Ono
https://arxiv.org/abs/2506.06101 https://

Ramanujan's partition generating functions modulo $\ell$
For the partition function $p(n)$, Ramanujan proved the striking identities $$ P_5(q):=\sum_{n\geq 0} p(5n+4)q^n =5\prod_{n\geq 1} \frac{\left(q^5;q^5\right)_{\infty}^5}{(q;q)_{\infty}^6}, $$ $$ P_7(q):=\sum_{n\geq 0} p(7n+5)q^n =7\prod_{n\geq 1}\frac{\left(q^7;q^7\right)_{\infty}^3}{(q;q)_{\infty}^4}+49q \prod_{n\geq 1}\frac{\left(q^7;q^7\right)_{\infty}^7}{(q;q)_{\infty}^8}, $$ where $(q;q)_{\infty}:=\prod_{n\geq 1}(1-q^n).$ As these identities imply his celebrated congruences modulo 5 …

Dynamically Tunable Membrane Metasurfaces for Infrared Spectroscopy
Furkan Kuruoglu, Samir Rosas, Jin-Woo Cho, David A. Czaplewski, Yuri Kivshar, Mikhail Kats, Filiz Yesilkoy
https://arxiv.org/abs/2506.10115

Dynamically Tunable Membrane Metasurfaces for Infrared Spectroscopy
Mid-infrared spectroscopy enables biochemical sensing by identifying vibrational molecular fingerprints, but it faces limitations in instrumentation portability and analytical sensitivity. Optical metasurfaces with strong mid-IR photonic resonances provide an attractive solution towards on-chip spectrometry and sensitive molecular detection, yet their static nature hinders their anticipated impact. Here, we introduce and demonstrate dynamically tunable silicon membrane metasurfaces exhibiting h…

[2025-06-12 Thu (UTC), 7 new articles found for cs.SD Sound]
toXiv_bot_toot

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[5/7]:
LogProber: Disentangling confidence from contamination in LLM responses

Inferring the pair-instability mass gap from gravitational wave data using flexible models
Fabio Antonini, Thomas Callister, Fani Dosopoulou, Isobel Romero-Shaw, Debatri Chattopadhyay
https://arxiv.org/abs/2506.09154

Inferring the pair-instability mass gap from gravitational wave data using flexible models
We use hierarchical Bayesian inference with non-parametric Gaussian process models to investigate the effective inspiral spin parameter, $χ_{\rm eff}$, as a function of primary black hole mass in the third gravitational-wave transient catalog (GWTC-3). Our analysis reveals a transition in the population at a primary mass of $46^{+7}_{-5}\,M_\odot$. Beyond this mass, the $χ_{\rm eff}$ distribution broadens, becomes consistent with being symmetric around zero, and has a median of $-0.03^{+0.36}…

AC/DC: LLM-based Audio Comprehension via Dialogue Continuation
Yusuke Fujita, Tomoya Mizumoto, Atsushi Kojima, Lianbo Liu, Yui Sudo
https://arxiv.org/abs/2506.10312

AC/DC: LLM-based Audio Comprehension via Dialogue Continuation
We propose an instruction-following audio comprehension model that leverages the dialogue continuation ability of large language models (LLMs). Instead of directly generating target captions in training data, the proposed method trains a model to produce responses as if the input caption triggered a dialogue. This dialogue continuation training mitigates the caption variation problem. Learning to continue a dialogue effectively captures the caption's meaning beyond its surface-level words. As a…

[2025-06-12 Thu (UTC), no new articles found for nlin.PS Pattern Formation and Solitons]
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[2025-06-13 Fri (UTC), 5 new articles found for physics.app-ph Applied Physics]
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Diffuse Interstellar bands and ultraviolet extinction bump: a Milky Way perspective on distant galaxies
R. Lallement
https://arxiv.org/abs/2506.09219 https…

Diffuse Interstellar bands and ultraviolet extinction bump: a Milky Way perspective on distant galaxies
The spectral width wB and the center wavelength lB of the UV absorption bump uvB measured for two z=7 galaxies were found to differ from Milky Way (MW) values. A decrease of wB by 45% and a positive shift of lB by 70-80 Ang were measured. In the MW, the uvB amplitude hB and wB do vary; however, such a narrow bump has never been observed and no variability of lB has been convincingly found. Recently, links have been found between both hB and wB and the strength of several Diffuse Interstellar ab…

RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding
Yisi Liu, Chenyang Wang, Hanjo Kim, Raniya Khan, Gopala Anumanchipalli
https://arxiv.org/abs/2506.10289

RT-VC: Real-Time Zero-Shot Voice Conversion with Speech Articulatory Coding
Voice conversion has emerged as a pivotal technology in numerous applications ranging from assistive communication to entertainment. In this paper, we present RT-VC, a zero-shot real-time voice conversion system that delivers ultra-low latency and high-quality performance. Our approach leverages an articulatory feature space to naturally disentangle content and speaker characteristics, facilitating more robust and interpretable voice transformations. Additionally, the integration of differentia…

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[4/7]:
Learnable Spatial-Temporal Positional Encoding for Link Prediction
htt…

[2025-06-13 Fri (UTC), 6 new articles found for eess.AS Audio and Speech Processing]
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Axisymmetric Cooling of Neutron Stars with Strong Magnetic Fields
Rodrigo Negreiros, Jeffrey Peterson, Veronica Dexheimer
https://arxiv.org/abs/2506.09841 …

Axisymmetric Cooling of Neutron Stars with Strong Magnetic Fields
We study the cooling evolution of neutron stars with strong poloidal magnetic fields (with strength not far from observed values) using the full general relativity 2-dimensional \textit{Astreus} code, which solves consistently Einstein's and Maxwell's equations. We find that central magnetic fields with strengths $3-4\times10^{17}$ G, corresponding to surface magnetic fields $7-8\times10^{16}$, can significantly modify the cooling behavior of neutron stars, leading to stars with similar masses …

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[3/7]:
Low-Loss Space in Neural Networks is Continuous and Fully Connected
ht…

Elastic properties of fluid mercury across the metal-nonmetal transition: Ab initio simulation study
T. Bryk, O. Bakai, A. P. Seitsonen
https://arxiv.org/abs/2506.09757

Elastic properties of fluid mercury across the metal-nonmetal transition: Ab initio simulation study
We report an ab initio molecular dynamics study of fluid mercury at temperature 1750 K in the range of densities 7-13.5 g/cm$^3$. Along this isothermal line we performed an analysis of total charge fluctuations, which make evidence of neutral atom-like screening in fluid Hg for densities less than 9.25 g/cm$^3$, which practically coincides with the emergence of the gap in electronic density of states. High-frequency shear modulus, high-frequency and adiabatic speeds of sound, shear viscosity, M…

A Metallicity Catalog of Very Metal-poor Main-sequence Turn-off and Red Giant Stars from LAMOST DR10
Xiangyu Li, Huiling Chen, Yang Huang, Huawei Zhang, Timothy C. Beers, Linxuan Zhu, Jifeng Liu
https://arxiv.org/abs/2506.09705

A Metallicity Catalog of Very Metal-poor Main-sequence Turn-off and Red Giant Stars from LAMOST DR10
We present a catalog of 8,440 candidate very metal-poor (VMP; [Fe/H] < -2.0) main-sequence turn-off (MSTO) and red giant stars in the Milky Way, identified from low-resolution spectra in LAMOST DR10. More than 7,000 of these candidates are brighter than G ~ 16, making them excellent targets for high-resolution spectroscopic follow-up with 4-10 meter-class telescopes. Unlike most previous studies, we employed an empirical calibration to estimate metallicities from the equivalent widths (EWs) of …

[2025-06-11 Wed (UTC), 7 new articles found for math.NT Number Theory]
toXiv_bot_toot

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[2/7]:
Generalized Lie Symmetries in Physics-Informed Neural Operators
https:…

Delving into the depths of NGC 3783 with XRISM. I. Kinematic and ionization structure of the highly ionized outflows
Missagh Mehdipour, Jelle S. Kaastra, Megan E. Eckart, Liyi Gu, Ralf Ballhausen, Ehud Behar, Camille M. Diez, Keigo Fukumura, Matteo Guainazzi, Kouichi Hagino, Timothy R. Kallman, Erin Kara, Chen Li, Jon M. Miller, Misaki Mizumoto, Hirofumi Noda, Shoji Ogawa, Christos Panagiotou, Atsushi Tanimoto, Keqin Zhao

Delving into the depths of NGC 3783 with XRISM. I. Kinematic and ionization structure of the highly ionized outflows
We present our study of the XRISM observation of the Seyfert-1 galaxy NGC 3783. For the first time, XRISM's Resolve microcalorimeter enables a detailed characterization of the highly ionized outflows in this active galactic nucleus. Our analysis constrains their outflow and turbulent velocities, along with their ionization parameter $ξ$ and column density $N_{\rm H}$. The high-resolution Resolve spectrum reveals a distinct series of Fe absorption lines between 6.4 and 7.8 keV, ranging from Fe …

Solitary wave solutions, periodic and superposition solutions to the system of first-order (2 1)-dimensional Boussinesq's equations derived from the Euler equations for an ideal fluid model
Piotr Rozmej, Anna Karczewska
https://arxiv.org/abs/2506.08941

Solitary wave solutions, periodic and superposition solutions to the system of first-order (2+1)-dimensional Boussinesq's equations derived from the Euler equations for an ideal fluid model
This article concludes the study of (2+1)-dimensional nonlinear wave equations that can be derived in a model of an ideal fluid with irrotational motion. In the considered case of identical scaling of the $x,y$ variables, obtaining a (2+1)-dimensional wave equation analogous to the KdV equation is impossible. Instead, from a system of two first-order Boussinesq equations, a non-linear wave equation for the auxiliary function $f(x,y,z)$ defining the velocity potential can be obtained, and only f…

Replaced article(s) found for cond-mat.dis-nn. https://arxiv.org/list/cond-mat.dis-nn/new/
[1/1]:
Exploring water's no-man's land

Replaced article(s) found for cs.LG. https://arxiv.org/list/cs.LG/new/
[1/7]:
Effective Regularization Through Loss-Function Metalearning
https://…

Current Crowding in a High-Efficiency Black Phosphorus Light-Emitting Diode Using a Reflective Back Contact
Julien Brodeur, \'Elo\"ise Rahier, Mathieu Chartray-Pronovost, \'Etienne Robert, Oussama Moutanabbir, St\'ephane K\'ena-Cohen
https://arxiv.org/abs/2506.09835 …

Current Crowding in a High-Efficiency Black Phosphorus Light-Emitting Diode Using a Reflective Back Contact
We demonstrate a high-performance mid-infrared (MIR) light-emitting diode (LED) based on a black phosphorus (b-P)/n-MoS$_2$ heterojunction. A gold back contact combined with a rhenium-doped n-type MoS$_2$ layer is used to enhance light extraction. The device shows a MIR peak external quantum efficiency (EQE) of (1.6 $\pm$ 0.2) % at room temperature and a record (7.0 $\pm$ 0.5) % EQE at 77 K, with a maximum radiant power density of (108 $\pm$ 8) W/cm2. Finite-element simulations highlight the im…

Sequential Dynamics in Ising Spin Glasses
Yatin Dandi, David Gamarnik, Francisco Pernice, Lenka Zdeborov\'a
https://arxiv.org/abs/2506.09877 https://…

Sequential Dynamics in Ising Spin Glasses
We present the first exact asymptotic characterization of sequential dynamics for a broad class of local update algorithms on the Sherrington-Kirkpatrick (SK) model with Ising spins. Focusing on dynamics implemented via systematic scan -- encompassing Glauber updates at any temperature -- we analyze the regime where the number of spin updates scales linearly with system size. Our main result provides a description of the spin-field trajectories as the unique solution to a system of integro-diff…

This https://arxiv.org/abs/2506.02475 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Comba: Improving Nonlinear RNNs with Closed-loop Control
Recent efficient sequence modeling methods such as Gated DeltaNet, TTT, and RWKV-7 have achieved performance improvements by supervising the recurrent memory management through Delta learning rule. Unlike previous state-space models (e.g., Mamba) and gated linear attentions (e.g., GLA), these models introduce interactions between the recurrent state and the key vector, resulting in a nonlinear recursive structure. In this paper, we first introduce the concept of Nonlinear RNNs with a comprehens…

[2025-06-11 Wed (UTC), 1 new article found for nlin.PS Pattern Formation and Solitons]
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Mechanism of Conductivity Enhancement of Polymers Employing Microbubble Lithography
Anand Dev Ranjan, Dhananjay Mahapatra, Partha Mitra, Ayan Banerjee
https://arxiv.org/abs/2506.09957

Mechanism of Conductivity Enhancement of Polymers Employing Microbubble Lithography
The pursuit of green methodologies for fabricating optoelectronic devices necessitates the adoption of self-assembly-based strategies to engineer efficient and sustainable platforms. Microbubble lithography (MBL) stands out as a directed self-assembly technique, enabling real-time micropatterning of conductive structures. Notably, this approach achieves significant enhancements in the conductivity of patterned polymers without requiring external dopants. However, the underlying mechanisms drivi…

Anomalous localization of light in one-dimensional L\'evy photonic lattices
Alejandro Ram\'irez-Ya\~nez, Thomas Gorin, Rodrigo A. Vicencio, V\'ictor A. Gopar
https://arxiv.org/abs/2506.09210

Anomalous localization of light in one-dimensional Lévy photonic lattices
Localization of coherent propagating waves has been extensively studied over the years, primarily in homogeneous random media. However, significantly less attention has been given to wave localization in inhomogeneous systems, where the standard picture of Anderson localization does not apply, as we demonstrate here. We fabricate photonic lattices with inhomogeneous disorder, modeled by heavy-tailed $α$-stable distributions, and measure the output light intensity profiles. We demonstrate that …

[2025-06-12 Thu (UTC), 7 new articles found for eess.AS Audio and Speech Processing]
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Engineering Cryogenic FETs: Addressing SCEs and Impact of Interface Traps Down to 2 K Temperature
Nilesh Pandey, Dipanjan Basu, Yogesh Singh Chauhan, Leonard F. Register, Sanjay K. Banerjee
https://arxiv.org/abs/2506.09356

Engineering Cryogenic FETs: Addressing SCEs and Impact of Interface Traps Down to 2 K Temperature
This paper presents a comprehensive design and benchmarking of cryogenic bulk-FET using a calibrated TCAD model integrating 2-D electrostatics and interface trap effects across temperatures from T = 2 K to 300 K. For a 28-nm node FET, transport appears predominately ballistic at T = 2 K, shifting toward quasi-ballistic transport with increasing temperature. Short-channel effects (SCEs) dominate cryogenic benefits at Lg = 25 nm for T < 25 K, as evidenced by a modest improvement in the minimum su…

[2025-06-12 Thu (UTC), 3 new articles found for cond-mat.dis-nn Disordered Systems and Neural Networks]
toXiv_bot_toot

Regularizing Learnable Feature Extraction for Automatic Speech Recognition
Peter Vieting, Maximilian Kannen, Benedikt Hilmes, Ralf Schl\"uter, Hermann Ney
https://arxiv.org/abs/2506.09804

Regularizing Learnable Feature Extraction for Automatic Speech Recognition
Neural front-ends are an appealing alternative to traditional, fixed feature extraction pipelines for automatic speech recognition (ASR) systems since they can be directly trained to fit the acoustic model. However, their performance often falls short compared to classical methods, which we show is largely due to their increased susceptibility to overfitting. This work therefore investigates regularization methods for training ASR models with learnable feature extraction front-ends. First, we e…

Ultra-lightweight multi-functional gyroid-based metamaterial for simultaneous sound insulation, vibration suppression, and impact mitigation in all directions
Evan Kluge, Osama R. Bilal
https://arxiv.org/abs/2506.09321

Ultra-lightweight multi-functional gyroid-based metamaterial for simultaneous sound insulation, vibration suppression, and impact mitigation in all directions
Multi-functional materials are increasingly essential in many applications due to their ability to serve multiple purposes, simultaneously. Metamaterials can offer tailored functionality based on carefully designed tessellating basic building blocks, or unit cells, in space. These unit cells are most commonly designed for a single objective, for example, to mitigate an impact, insulate sound, or dampen vibrations. However, a metamaterial that can mitigate impact, attenuate elastic vibrations, i…

Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements
Suhas BN, Andrew M. Sherrill, Jyoti Alaparthi, Dominik Mattioli, Rosa I. Arriaga, Chris W. Wiese, Saeed Abdullah
https://arxiv.org/abs/2506.09707

Fine-Tuning Large Audio-Language Models with LoRA for Precise Temporal Localization of Prolonged Exposure Therapy Elements
Prolonged Exposure (PE) therapy is an effective treatment for post-traumatic stress disorder (PTSD), but evaluating therapist fidelity remains labor-intensive due to the need for manual review of session recordings. We present a method for the automatic temporal localization of key PE fidelity elements -- identifying their start and stop times -- directly from session audio and transcripts. Our approach fine-tunes a large pre-trained audio-language model, Qwen2-Audio, using Low-Rank Adaptation …

Ultra-thin normal-shear-coupled metabarrier for low-frequency underwater sound insulation
V. F. Dal Poggetto, M. Miniaci
https://arxiv.org/abs/2506.09248 h…

Ultra-thin normal-shear-coupled metabarrier for low-frequency underwater sound insulation
Underwater noise pollution caused by anthropogenic activities, such as offshore wind farms, significantly affects marine life, hindering the intra- and inter-specific interactions of many aquatic species. A common strategy to mitigate these effects is to enclose the noise source within a physical barrier to achieve acceptable noise levels in the surrounding region. Underwater barriers typically achieve noise reduction through sound absorption based on locally resonant systems (e.g., foam and bu…

Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women
Sakshi Joshi, Eldho Ittan George, Tahir Javed, Kaushal Bhogale, Nikhil Narasimhan, Mitesh M. Khapra
https://arxiv.org/abs/2506.09653

Recognizing Every Voice: Towards Inclusive ASR for Rural Bhojpuri Women
Digital inclusion remains a challenge for marginalized communities, especially rural women in low-resource language regions like Bhojpuri. Voice-based access to agricultural services, financial transactions, government schemes, and healthcare is vital for their empowerment, yet existing ASR systems for this group remain largely untested. To address this gap, we create SRUTI ,a benchmark consisting of rural Bhojpuri women speakers. Evaluation of current ASR models on SRUTI shows poor performance…

Unification of Exceptional Points and Transmission Peak Degeneracies in a Highly Tunable Magnon-Photon Dimer
Alexander S. Carney, Juan S. Salcedo-Gallo, Salil K. Bedkihal, Mattias Fitzpatrick
https://arxiv.org/abs/2506.09141

Unification of Exceptional Points and Transmission Peak Degeneracies in a Highly Tunable Magnon-Photon Dimer
Exceptional points (EPs), spectral singularities arising in non-Hermitian dynamical systems, have drawn widespread attention for their potential to enhance sensor capability by leveraging characteristic square-root frequency splitting. However, the advantages of EP sensors have remained highly contested, primarily due to their inherent hypersensitivity to model errors and loss of precision arising from eigenbasis collapse, quantified by the Petermann noise factor. Recently, it has been suggeste…

Unmasking real-world audio deepfakes: A data-centric approach
David Combei, Adriana Stan, Dan Oneata, Nicolas M\"uller, Horia Cucu
https://arxiv.org/abs/2506.09606

Unmasking real-world audio deepfakes: A data-centric approach
The growing prevalence of real-world deepfakes presents a critical challenge for existing detection systems, which are often evaluated on datasets collected just for scientific purposes. To address this gap, we introduce a novel dataset of real-world audio deepfakes. Our analysis reveals that these real-world examples pose significant challenges, even for the most performant detection models. Rather than increasing model complexity or exhaustively search for a better alternative, in this work w…

[2025-06-12 Thu (UTC), 6 new articles found for physics.app-ph Applied Physics]
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A Study on Speech Assessment with Visual Cues
Shafique Ahmed, Ryandhimas E. Zezario, Nasir Saleem, Amir Hussain, Hsin-Min Wang, Yu Tsao
https://arxiv.org/abs/2506.09549

A Study on Speech Assessment with Visual Cues
Non-intrusive assessment of speech quality and intelligibility is essential when clean reference signals are unavailable. In this work, we propose a multimodal framework that integrates audio features and visual cues to predict PESQ and STOI scores. It employs a dual-branch architecture, where spectral features are extracted using STFT, and visual embeddings are obtained via a visual encoder. These features are then fused and processed by a CNN-BLSTM with attention, followed by multi-task learn…

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new/
[1/1]:
Design and Reprogrammability of Zero Modes in 2D Materials from a Single Element

You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks
\"Unal Ege Gaznepoglu, Anna Leschanowsky, Ahmad Aloradi, Prachi Singh, Daniel Tenbrinck, Emanu\"el A. P. Habets, Nils Peters
https://arxiv.org/abs/2506.09521

You Are What You Say: Exploiting Linguistic Content for VoicePrivacy Attacks
Speaker anonymization systems hide the identity of speakers while preserving other information such as linguistic content and emotions. To evaluate their privacy benefits, attacks in the form of automatic speaker verification (ASV) systems are employed. In this study, we assess the impact of intra-speaker linguistic content similarity in the attacker training and evaluation datasets, by adapting BERT, a language model, as an ASV system. On the VoicePrivacy Attacker Challenge datasets, our metho…

Replaced article(s) found for cond-mat.dis-nn. https://arxiv.org/list/cond-mat.dis-nn/new/
[1/1]:
How transformers learn structured data: insights from hierarchical filtering

Enhancing Acoustic-to-Articulatory Speech Inversion by Incorporating Nasality
Saba Tabatabaee, Suzanne Boyce, Liran Oren, Mark Tiede, Carol Espy-Wilson
https://arxiv.org/abs/2506.09231

Enhancing Acoustic-to-Articulatory Speech Inversion by Incorporating Nasality
Speech is produced through the coordination of vocal tract constricting organs: lips, tongue, velum, and glottis. Previous works developed Speech Inversion (SI) systems to recover acoustic-to-articulatory mappings for lip and tongue constrictions, called oral tract variables (TVs), which were later enhanced by including source information (periodic and aperiodic energies, and F0 frequency) as proxies for glottal control. Comparison of the nasometric measures with high-speed nasopharyngoscopy sh…

Non-Equilibrium Origin of Native Ring Anisotropy in Amorphous Systems
Zihang Wang, Dirk Bouwmeester
https://arxiv.org/abs/2506.08491 https://

Non-Equilibrium Origin of Native Ring Anisotropy in Amorphous Systems
Native ring structures within amorphous networks play a critical role in determining structural and optical properties, in part due to their ability to host dopants such as rare earth ions in silicate systems. In this work, we demonstrate that the universal features of structural anisotropy in amorphous networks can be efficiently simulated using a model based on stochastically deformed, edge sharing N member native ring structures. This model isolates and characterizes the structural anisotrop…

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new/
[1/1]:
Listen, Chat, and Remix: Text-Guided Soundscape Remixing for Enhanced Auditory Experience

Neuralized Fermionic Tensor Networks for Quantum Many-Body Systems
Si-Jing Du, Garnet Kin-Lic Chan
https://arxiv.org/abs/2506.08329 https://

Neuralized Fermionic Tensor Networks for Quantum Many-Body Systems
We describe a class of neuralized fermionic tensor network states (NN-fTNS) that introduce non-linearity into fermionic tensor networks through configuration-dependent neural network transformations of the local tensors. The construction uses the fTNS algebra to implement a natural fermionic sign structure and is compatible with standard tensor network algorithms, but gains enhanced expressivity through the neural network parametrization. Using the 1D and 2D Fermi-Hubbard models as benchmarks, …

[2025-06-11 Wed (UTC), 2 new articles found for cond-mat.dis-nn Disordered Systems and Neural Networks]
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Dual-Material Double-Gate Source-Pocket Tunnel Field Effect Transistor with Homogeneous Gate Dielectric: Computational Analysis of Structural and Material Parameters for Enhanced Performance
Ramisa Fariha, Saikat Das, Labiba Tanjil Nida, Abeer Khan, Md Tashfiq Bin Kashem
https://arxiv.org/abs/2506.08556

Dual-Material Double-Gate Source-Pocket Tunnel Field Effect Transistor with Homogeneous Gate Dielectric: Computational Analysis of Structural and Material Parameters for Enhanced Performance
Dual-material double-gate tunnel field effect transistor (DMDG TFET) is a promising candidate for low-power, high-speed electronics due to enhanced electrostatic control and superior switching characteristics. Integrating a pocket region between the source and channel-doped oppositely to the source-further improves tunneling efficiency by modulating the electric field at the tunneling junction. This combined architecture, termed the DMDG source-pocket TFET (DMDG-SP TFET), achieves higher ON cur…

This https://arxiv.org/abs/2506.05197 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Overlap Gap and Computational Thresholds in the Square Wave Perceptron
Square Wave Perceptrons (SWPs) form a class of neural network models with oscillating activation function that exhibit intriguing ``hardness'' properties in the high-dimensional limit at a fixed signal-to-noise ratio $α= O(1)$. In this work, we examine two key aspects of these models. The first is related to the so-called overlap-gap property, that is a disconnectivity feature of the geometry of the solution space of combinatorial optimization problems proven to cause the failure of a large fa…

Heat Dissipation and Thermoelectric Performance of InSe-Based Monolayers: A Monte Carlo Simulation Study
Seyedeh Ameneh Bahadori, Zahra Shomali, Reza Asgari
https://arxiv.org/abs/2506.08212

Heat Dissipation and Thermoelectric Performance of InSe-Based Monolayers: A Monte Carlo Simulation Study
Using nonequilibrium Monte Carlo simulations of the phonon Boltzmann transport equation, we study transient heat transfer in five indium-based two-dimensional monolayers: Janus monolayers In$_2$SeTe and In$_2$SSe, pristine InSe, and InSe under 4$\%$ and 6$\%$ tensile strain. In this work, the potential of these materials for energy conversion in thermoelectric generators and hotspot control in metal-oxide-semiconductor field-effect transistors is investigated. A promising option for an effectiv…

This https://arxiv.org/abs/2505.23903 has been replaced.
initial toot: https://mastoxiv.page/@arX…

Density of states correlations in Lévy Rosenzweig-Porter model via supersymmetry approach
We studied global density-of-states correlation function $R(ω)$ for Lévy-Rosenzveig-Porter random matrix ensemble~\cite{BirTar_Levy-RP} in the non-ergodic extended phase. Using extension of Efetov's supersymmetry approach ~\cite{MirFyod_non_Gauss} we calculated $R(ω)$ exactly in all relevant ranges of $ω$. At relatively low $ω\leq Γ$\, (with $Γ\gg Δ$ being effective mini-band width) we found GUE-type oscillations with period of level spacing $Δ$, decaying exponentially at the Thouless …

[2025-06-11 Wed (UTC), 2 new articles found for physics.app-ph Applied Physics]
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Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs
\v{S}imon Sedl\'a\v{c}ek, Bolaji Yusuf, J\'an \v{S}vec, Pradyoth Hegde, Santosh Kesiraju, Old\v{r}ich Plchot, Jan \v{C}ernock\'y
https://arxiv.org/abs/2506.08633

Approaching Dialogue State Tracking via Aligning Speech Encoders and LLMs
In this work, we approach spoken Dialogue State Tracking (DST) by bridging the representation spaces of speech encoders and LLMs via a small connector module, with a focus on fully open-sourced and open-data components (WavLM-large, OLMo). We focus on ablating different aspects of such systems including full/LoRA adapter fine-tuning, the effect of agent turns in the dialogue history, as well as fuzzy matching-based output post-processing, which greatly improves performance of our systems on nam…

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new/
[1/1]:
Low Temperature Properties of Low-Loss Macroscopic Lithium Niobate Bulk Acoustic Wave Resonators

[2025-06-11 Wed (UTC), 1 new article found for eess.AS Audio and Speech Processing]
toXiv_bot_toot

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new/
[1/1]:
Phonology-Guided Speech-to-Speech Translation for African Languages

This https://arxiv.org/abs/2506.01483 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Inter-Speaker Relative Cues for Text-Guided Target Speech Extraction
We propose a novel approach that utilize inter-speaker relative cues for distinguishing target speakers and extracting their voices from mixtures. Continuous cues (e.g., temporal order, age, pitch level) are grouped by relative differences, while discrete cues (e.g., language, gender, emotion) retain their categories. Relative cues offers greater flexibility than fixed speech attribute classification, facilitating much easier expansion of text-guided target speech extraction datasets. Our exper…

This https://arxiv.org/abs/2503.22088 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Baseline Systems and Evaluation Metrics for Spatial Semantic Segmentation of Sound Scenes
Immersive communication has made significant advancements, especially with the release of the codec for Immersive Voice and Audio Services. Aiming at its further realization, the DCASE 2025 Challenge has recently introduced a task for spatial semantic segmentation of sound scenes (S5), which focuses on detecting and separating sound events in spatial sound scenes. In this paper, we explore methods for addressing the S5 task. Specifically, we present baseline S5 systems that combine audio taggin…

This https://arxiv.org/abs/2503.00493 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

LLaSE-G1: Incentivizing Generalization Capability for LLaMA-based Speech Enhancement
Recent advancements in language models (LMs) have demonstrated strong capabilities in semantic understanding and contextual modeling, which have flourished in generative speech enhancement (SE). However, many LM-based SE approaches primarily focus on semantic information, often neglecting the critical role of acoustic information, which leads to acoustic inconsistency after enhancement and limited generalization across diverse SE tasks. In this paper, we introduce LLaSE-G1, a LLaMA-based langua…

This https://arxiv.org/abs/2410.00527 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Wanna hear your voice? A sample is all we need!
Research on audio clue-based target speaker extraction (TSE) has focused on modeling mixtures and reference speech, achieving strong results in English due to abundant datasets. However, cross-lingual properties remain underexplored, as low-resource languages face challenges from limited annotated data and linguistic resources. To bridge this gap, we propose WHYV (Wanna Hear Your Voice), a cross-lingual TSE framework enabling zero-shot adaptation without fine-tuning. WHYV employs a frequency-mo…