Tootfinder

from my link log —
Microsoft Windows Registry attack surface analysis.
https://googleprojectzero.blogspot.com/2025/05/the-windows-registry-adventure-7-attack-surface.html
saved 2025-05-26

The Windows Registry Adventure #7: Attack surface analysis
Posted by Mateusz Jurczyk, Google Project Zero In the first three blog posts of this series, I sought to outline what the Windows Regi...

Section 7 high school boys basketball tournament 2025 brackets, teams, schedule https://www.sportingnews.com/us/high-school/boys-basketball/news/section-7-high-school-…

MAGNA: Asia Pacific ad revenue grew 7.9% in 2024 to $288B led by digital advertising; TV budgets declined by 1.9%, print dropped by 3%, and radio fell by 4.2% (Alisha Buaya/Mediaweek)
https://www.mediaweek.com.au/magna-forecast-apac-ad-revenue-gr…

🇺🇦 #NowPlaying on KEXP's #DriveTime
Forth Wanderers:
🎵 7 Months
#ForthWanderers
https://forthwanderers.bandcamp.com/track/7-months
https://open.spotify.com/track/3QIprxybtXTK5mifthT4Q5

Frostklauen und Fliegenspucker: Das Storm's-Brewing-Update für "7 Days to Die"
Das 2.0-Update des Zombie-Survival-Spiels "7 Days to Die" bringt gefährliche Stürme, Zombies mit Spezialfähigkeiten und schönere Grafik. c’t-zockt ist am Start.

Policies. Gotta know them. Can't spend time reading them. The NTs way of doing shit. My AuDHD brain is now cooked. :|
#audhder #actuallyautistic #autistic

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
An implementation of neural simulation-based inference for parameter estimation in ATLAS

Replaced article(s) found for cond-mat.dis-nn. https://arxiv.org/list/cond-mat.dis-nn/new
[1/1]:
Exact multiple anomalous mobility edges in a flat band geometry

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
Strategy for Bayesian Optimized Beam Steering at TRIUMF-ISAC's MEBT and HEBT Beamlines

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…

Replaced article(s) found for nlin.PS. https://arxiv.org/list/nlin.PS/new
[1/1]:
Collective Excitations of Self-Gravitating Ultralight Dark Matter Cores

Series A, Episode 10 - Breakdown
FARREN: How dare you! I'm in command of this base.
KAYN: You have forfeited that command, Farren, you gutless nothing.
VOICE: Weaponry.
FARREN: Stop that, I tell you! Take no orders-
https://blake.torpidity.net/m/110/565 B7B2

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

A survey of UK academic integrity violations finds nearly 7,000 proven AI cheating cases in 2023-24, or 5.1 per 1,000 students, up from 1.6 per 1,000 in 2022-23 (Michael Goodier/The Guardian)
https://www.theguardian.co…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[7/7]:
VideoDeepResearch: Long Video Understanding With Agentic Tool Using
http…

jung: JUNG and javax class dependencies (2012)
A network of software class dependency within the JUNG 2.0.1 and javax 1.6.0.7 library namespaces edu.uci.ics.jung and java/javax. Nodes represent classes and a directed edge indicates a dependency of one class on another.
This network has 6120 nodes and 138706 edges.
Tags: Technological, Software, Unweighted

When Donald Trump last attended a Group of 7 meeting in Canada, he was in many ways the odd man out.
At that meeting, in 2018, Trump called for the alliance of Western countries to embrace Russia,
antagonized allies and
ultimately stormed out of the summit over a trade battle he began by imposing metals tariffs on Canada.
As he returns on Sunday for the Group of 7 meeting in Alberta, those fissures have only deepened.
Since retaking office, the president has sough…

As Trump Returns to G7, Rift With Allies Is Even Deeper
In 2018, the president called for the group to embrace Russia and stormed out of the summit. Now he is seeking to shrink America’s military role abroad and embarking on a more expansive trade war.

My adult daughter moved back in (temporarily) and she seems a bit shocked at how much I work.
Like she'll get home from work and say "What are you doing tonight?" and the answer is quite often "Work" because I told her I work 6 to 7 days a week.
I guess I'm glad she thinks that it's weird and that I work too much.

Good size for a class action if they don't get their 'trump buyouts'
7,500 Interior workers took Trump buyouts or early retirement - E&E News by POLITICO
https://www.eenews.net/articles/7500-interior-workers-took-trump-buyouts-or-early-retirement/

Dank der morgigen FAZ (S.7) lese ich wieder News aus der Schlachtfeldarchäologie, Abteilung Waterloo: "Irgendwann waren die letzten Hinterlassenschaften verkauft. So entstand in den Zwanziger- und Dreißigerjahren des 19. Jahrhunderts eine Gedächtnisindustrie. Bauern säten im Herbst Messingknöpfe auf den Feldern aus, die im Frühjahr mit Patina 'abgeerntet' wurden." Die entsprechende Studie von Wilkin/Schäfer/Homann erscheint im Herbst in der Revue d’Histoire Militaire.

Die Ergebnisse vom #Fahrradklimatest #FKT24 sind da und wenn ich mir Kiel anschaue, frage ich mich, ob ich hier was übersehe oder ob ich einfach noch hart die Stuttgartbrille trage und die Kieler Realität für mich auf dem Fahrrad immer noch stark rosa ist.
Ich freue mich über andere Erfahru…

Ergebnisse

The Anatomy of India's Industrial Interdependencies: 7-Digit Product-Level Supply-Use and Input-Output Tables from ASI Data (2016-2022) with a Case Study of the Mobile Phone Sector
Sourish Dutta
https://arxiv.org/abs/2506.13936

The Anatomy of India's Industrial Interdependencies: 7-Digit Product-Level Supply-Use and Input-Output Tables from ASI Data (2016-2022) with a Case Study of the Mobile Phone Sector
Outlines the construction of high-resolution, 7-digit product-level Supply-Use Tables (SUTs) and symmetric Input-Output Tables (IOTs) for the Indian economy, leveraging microdata from the Annual Survey of Industries (ASI) for the period 2016-2022. We delineate a robust methodology encompassing the generation of detailed input and output flows, with a particular focus on the reconciliation of data from registered and unregistered manufacturing sectors through a meticulously developed NPCMS-NIC c…

♫ Top 5 artists of the Last.week: Casiopea (7) Kouek (6) android52 (3) Flammy (3) Luanmer (2). #myweekcounted 40 Scrobbles with Lastfm #music via @…

Some music for today's protests in the US. Stay safe everyone. Don't forget to dance as needed.
Laura Jane Grace, "Baby, I'm an Anarchist" (live, 2021)
https://youtu.be/7-nj4QhjJpc

🇺🇦 #NowPlaying on #BBC6Music
Love:
🎵 7 and 7 Is
#Love
https://7angel.bandcamp.com/track/god-is-love

Avoid #Krogers until they agree to pay their workers.
#UnionStrong
https://masto.nyc/@GetMisch/1146944853

Sodium induced beneficial effects in wide bandgap Cu(In,Ga)S2 solar cell with 15.7% efficiency
Arivazhagan Valluvar Oli, Kulwinder Kaur, Michele Melchiorre, Aubin Jean-Claude Mireille Prot, Sevan Gharabeiki, Yucheng Hu, Gunnar Kusch, Adam Hultqvist, Tobias T\"orndahl, Wolfram Hempel, Wolfram Witte, Rachel A. Oliver, Susanne Siebentritt
https://

Sodium induced beneficial effects in wide bandgap Cu(In,Ga)S2 solar cell with 15.7% efficiency
This study underscores the pivotal role of sodium (Na) supply in optimizing the optoelectronic properties of wide bandgap (~1.6 eV) Cu(In,Ga)S2 (CIGS) thin film absorbers for high efficiency solar cells. Our findings demonstrate that the synergistic use of Na from the glass substrate, in conjunction with in-situ sodium fluoride (NaF) co-evaporation, significantly enhances the structural and optoelectronic properties of the CIGS. CIGS grown under either Na-deficient or excess conditions exhibits…

What #Trump heard: "Please, please, Sir! Make a deal."
What actually happened: "Please, please, Sir! Come down off the ledge!"
#politics #insanity

Stereo sound event localization and detection based on PSELDnet pretraining and BiMamba sequence modeling
Wenmiao Gao, Yang Xiao
https://arxiv.org/abs/2506.13455

Stereo sound event localization and detection based on PSELDnet pretraining and BiMamba sequence modeling
Pre-training methods have achieved significant performance improvements in sound event localization and detection (SELD) tasks, but existing Transformer-based models suffer from high computational complexity. In this work, we propose a stereo sound event localization and detection system based on pre-trained PSELDnet and bidirectional Mamba sequence modeling. We replace the Conformer module with a BiMamba module and introduce asymmetric convolutions to more effectively model the spatiotemporal …

Viscosity, breakdown of Stokes-Einstein relation and dynamical heterogeneity in supercooled liquid Ge 2 Sb 2 Te 5 from simulations with a neural network potential
Simone Marcorini, Rocco Pomodoro, Omar Abou El Kheir, Marco Bernasconi
https://arxiv.org/abs/2506.13668

Viscosity, breakdown of Stokes-Einstein relation and dynamical heterogeneity in supercooled liquid Ge 2 Sb 2 Te 5 from simulations with a neural network potential
Phase change materials are exploited in non-volatile electronic memories and photonic devices that rely on a fast and reversible transformation between the amorphous and crystalline phase upon heating. The recrystallization of the amorphous phase at the operation conditions of the memories occurs in the supercooled liquid phase above the glass transition temperature $T_g$. The dynamics of the supercooled liquid is thus of great relevance for the operation of the devices and, close to $T_g$, als…

Controlled manipulation of solitons in a recirculating fiber loop using external potentials
Fran\c{c}ois Copie, Pierre Suret, St\'ephane Randoux
https://arxiv.org/abs/2506.13544

Controlled manipulation of solitons in a recirculating fiber loop using external potentials
Optical solitons are self-sustained wave packets that propagate without distortion due to a balance between dispersion and nonlinearity. Their unique stability underpins key photonic applications while also playing a central role in nonlinear wave physics. However, real-time control over soliton dynamics in non-dissipative systems remains a major challenge, limiting their practical applications in photonic systems. Here, we introduce a fiber-based platform for soliton manipulation, by creating …

Replaced article(s) found for physics.data-an. https://arxiv.org/list/physics.data-an/new
[1/1]:
The Best Soules Basis for the Estimation of a Spectral Barycentre Network

Replaced article(s) found for physics.app-ph. https://arxiv.org/list/physics.app-ph/new
[1/1]:
Self-referencing photothermal common-path interferometry to measure absorption of Si3N4 membranes...

NYC Mayoral Candidate Brad Lander Latest Victim of ICE Violence (Whitney Curry Wimbish/American Prospect)
https://prospect.org/justice/2025-06-17-brad-lander-arrested-ice-immigration/
http://www.memeorandum.com/250617/p168#a250617p168

Series A, Episode 08 - Duel
BLAKE: They don't seem very impressed, Travis. [Laughs] Why don't you try stamping your foot?
TRAVIS: Oh, that's very amusing, Blake. For a dead man.
BLAKE: Do you intend to keep us prisoners?
GIROC: Only for the moment.
https://blake.torpidity.net/m/108/236…

Blakes7Bot | Search
Companion site to the Blakes7Bot Twitter, Mastodon, and Bluesky accounts. Automated lines of Blakes 7 dialog. Includes a script search facility.

Policies. Gotta know them. Can't spend time reading them. The NTs way of doing shit. My AuDHD brain is now cooked. :|
#audhder #actuallyautistic #autistic

BUT System for the MLC-SLM Challenge
Alexander Polok, Jiangyu Han, Dominik Klement, Samuele Cornell, Jan \v{C}ernock\'y, Luk\'a\v{s} Burget
https://arxiv.org/abs/2506.13414

BUT System for the MLC-SLM Challenge
We present a two-speaker automatic speech recognition (ASR) system that combines DiCoW -- a diarization-conditioned variant of Whisper -- with DiariZen, a diarization pipeline built on top of Pyannote. We first evaluate both systems in out-of-domain (OOD) multilingual scenarios without any fine-tuning. In this scenario, DiariZen consistently outperforms the baseline Pyannote diarization model, demonstrating strong generalization. Despite being fine-tuned on English-only data for target-speaker …

Backsolution: A Framework for Solving Inverse Problems via Automatic Differentiation
Koji Kobayashi, Tomi Ohtsuki
https://arxiv.org/abs/2506.13210 https://…

Backsolution: A Framework for Solving Inverse Problems via Automatic Differentiation
We present a simple yet powerful framework for solving inverse problems by leveraging automatic differentiation. Our method is broadly applicable whenever a smooth cost function can be defined near the true solution, and a numerical simulator is available. As a concrete example, we demonstrate that our method can accurately reconstruct the spatial profiles in a conductor from magnetotransport measurements. Even if the given data are insufficient to uniquely determine the profiles, the same fram…

Solitary waves in the complementary generalized ABS model
Avinash Khare, Fred Cooper, John F. Dawson, Avadh Saxena
https://arxiv.org/abs/2506.12631 https:/…

Solitary waves in the complementary generalized ABS model
We obtain exact solutions of the nonlinear Dirac equation in 1+1 dimension of the form $ Ψ(x,t) =Φ(x) \rme^{-\rmi ωt}$ where the nonlinear interactions are a combination of vector-vector and scalar-scalar interactions with the interaction Lagrangian given by $L_I = \frac{g^2}{(κ+1)}[\barψ γ_μψ\barψ γ^μ ψ]^{(κ+1)/2} - \frac{g^2}{q(κ+1)}(\barψ ψ)^{κ+1}$, where $κ>0$ and $q>1$. This is the complement of the generalization of the ABS model \cite{abs} that we recently studied \cite…

[2025-06-17 Tue (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

Ion Track Formation via Electric-Field-Enhanced Energy Deposition
Zikang Ge, Jinhao Hu, Shengyuan Peng, Wei Kang, Xiaofei Shen, Yanbo Xie, Jianming Xue
https://arxiv.org/abs/2506.12884

Ion Track Formation via Electric-Field-Enhanced Energy Deposition
High-energy ion irradiation deposits extreme energy in a narrow range (1-10 nm) along ion trajectories in solid through electronic energy loss, producing unique irradiation effects such as ion tracks. However, intrinsic velocity effects impose an upper limit on electronic energy loss that cannot be overcome by adjusting irradiation parameters. We introduce a method using electric fields during irradiation to enhance nanoscale energy deposition by accelerating ion-excited electrons within sub-pi…

sp_high_school_new: High school dynamic contacts (2011-2012)
These datasets contain the temporal network of contacts between students in a high school in Marseilles, France. The first dataset gives the contacts of the students of three classes during 4 days in Dec. 2011, and the second corresponds to the contacts of the students of 5 classes during 7 days (from a Monday to the Tuesday of the following week) in Nov. 2012.
This network has 126 nodes and 28561 edges.
Tags: Soc…

surely the python 2.7 continuity fork should be called ethon rather than tauthon

Tegna adds 100 hours of new daily programming across 50 markets with dedicated 7am-9am streaming of local newscasts to meet increased demand on CTV platforms (Mark K. Miller/TVNewsCheck)
https://tvnewscheck.com/journalism/article/tegna-anno…

Tegna Announces Major Local News Expansion
Tegna Inc. today announced that its stations will be “significantly expanding” their local news programming by launching live and on-demand, local newscasts from 7 to 9 a.m. daily in 50-plus markets through streaming, connected TV apps and station websites.  Tegna said: “This unprecedented expansion of local news programming is designed to meet audiences’ growing demand for coverage of their communities wherever they want to watch and will deliver over 100 hours of daily breaking news,…

What #Trump heard: "Please, please, Sir! Make a deal."
What actually happened: "Please, please, Sir! Come down off the ledge!"
#politics #insanity

Instance-Specific Test-Time Training for Speech Editing in the Wild
Taewoo Kim, Uijong Lee, Hayoung Park, Choongsang Cho, Nam In Park, Young Han Lee
https://arxiv.org/abs/2506.13295

Instance-Specific Test-Time Training for Speech Editing in the Wild
Speech editing systems aim to naturally modify speech content while preserving acoustic consistency and speaker identity. However, previous studies often struggle to adapt to unseen and diverse acoustic conditions, resulting in degraded editing performance in real-world scenarios. To address this, we propose an instance-specific test-time training method for speech editing in the wild. Our approach employs direct supervision from ground-truth acoustic features in unedited regions, and indirect …

Finding Some Impossibility of Flat-Folding of Given Origami Crease Pattern by Graphical Representation
Chihiro Nakajima
https://arxiv.org/abs/2506.12659 ht…

Finding Some Impossibility of Flat-Folding of Given Origami Crease Pattern by Graphical Representation
Flat-foldability problem of origami is the problem to determine whether a given crease pattern drawn on a piece of paper is possible to fold without any penetration or intrusion of a polygon into any connections among them. It is known from the results of Bern and Hayes and following studies that determining whether an origami diagram which constitute of polygons in general shapes can be flat-folded is an NP-hard problem. In this manuscript, on determining the flat foldability of unsigned creas…

Chimera states on m-directed hypergraphs
Rommel Tchinda Djeudjo, Timoteo Carletti, Hiroya Nakao, Riccardo Muolo
https://arxiv.org/abs/2506.12511 https://…

Chimera states on m-directed hypergraphs
Chimera states are synchronization patterns in which coherent and incoherent regions coexist in systems of identical oscillators. This elusive phenomenon has attracted a lot of interest and has been widely studied, revealing several types of chimeras. Most cases involve reciprocal pairwise couplings, where each oscillator exerts and receives the same interaction, modeled via networks. However, real-world systems often have non-reciprocal, non-pairwise (many-body) interactions. From previous stu…

Variational phase-field modeling of cohesive fracture with flexibly tunable strength surface
Francesco Vicentini, Jonas Heinzmann, Pietro Carrara, Laura De Lorenzis
https://arxiv.org/abs/2506.12188

Variational phase-field modeling of cohesive fracture with flexibly tunable strength surface
Variational phase-field models of brittle fracture are powerful tools for studying Griffith-type crack propagation in complex scenarios. However, as approximations of Griffith's theory-which does not incorporate a strength criterion-these models lack flexibility in prescribing material-specific strength surfaces. Consequently, they struggle to accurately capture crack nucleation under multiaxial stress conditions. In this paper, inspired by Alessi et al. (2014), we propose a variational phase-f…

California AI Policy Report Warns of 'Irreversible Harms' - Slashdot
https://yro.slashdot.org/story/25/06/17/214215/california-ai-policy-report-warns-of-irreversible-harms

Boundary-Informed Sound Field Reconstruction
David Sundstr\"om, Filip Elvander, Andreas Jakobsson
https://arxiv.org/abs/2506.13279 https://

Boundary-Informed Sound Field Reconstruction
We consider the problem of reconstructing the sound field in a room using prior information of the boundary geometry, represented as a point cloud. In general, when no boundary information is available, an accurate sound field reconstruction over a large spatial region and at high frequencies requires numerous microphone measurements. On the other hand, if all geometrical and acoustical aspects of the boundaries are known, the sound field could, in theory, be simulated without any measurements.…

On the extremal spectral properties of random graphs
C. T Mart\'inez Mart\'inez, J. A. M\'endez Berm\'udez
https://arxiv.org/abs/2506.12343

On the extremal spectral properties of random graphs
In this work, we study some statistical properties of the extreme eigenstates of the randomly-weighted adjacency matrices of random graphs. We focus on two random graph models: Erdős-Rényi (ER) graphs and random geometric graphs (RGGs). Indeed, the adjacency matrices of both graph models are diluted versions of the Gaussian Orthogonal Ensemble (GOE) of random matrix theory (RMT), such that a transition from the Poisson Ensemble (PE) and the GOE is observed by increasing the graph average degr…

Fronts and patterns with a dynamic parameter ramp
Montie Avery, Odalys Garcia-Lopez, Ryan Goh, Benjamin Hosek, Ethan Shade
https://arxiv.org/abs/2506.12142

Fronts and patterns with a dynamic parameter ramp
We examine the effect of a slowly-varying time-dependent parameter on invasion fronts for which an unstable homogeneous equilibrium is invaded by either another homogeneous state or a spatially periodic state. We first explain and motivate our approach by studying asymptotically constant invasion fronts in a scalar FKPP equation with time-dependent parameter which controls the stability of the trivial state. Following recent works in the area, we use a linearized analysis to derive formal predi…

[2025-06-17 Tue (UTC), 2 new articles found for physics.app-ph Applied Physics]
toXiv_bot_toot

ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
Han Zhu, Wei Kang, Zengwei Yao, Liyong Guo, Fangjun Kuang, Zhaoqing Li, Weiji Zhuang, Long Lin, Daniel Povey
https://arxiv.org/abs/2506.13053

ZipVoice: Fast and High-Quality Zero-Shot Text-to-Speech with Flow Matching
Existing large-scale zero-shot text-to-speech (TTS) models deliver high speech quality but suffer from slow inference speeds due to massive parameters. To address this issue, this paper introduces ZipVoice, a high-quality flow-matching-based zero-shot TTS model with a compact model size and fast inference speed. Key designs include: 1) a Zipformer-based flow-matching decoder to maintain adequate modeling capabilities under constrained size; 2) Average upsampling-based initial speech-text alignm…

[2025-06-17 Tue (UTC), 4 new articles found for cond-mat.dis-nn Disordered Systems and Neural Networks]
toXiv_bot_toot

[2025-06-17 Tue (UTC), 4 new articles found for nlin.PS Pattern Formation and Solitons]
toXiv_bot_toot

Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding
Zhihong Jia, Hongbin Wang, Yuanzhong Shen, Feng Hu, Jiayu An, Kai Shu, Dongrui Wu
https://arxiv.org/abs/2506.12817

Magnetoencephalography (MEG) Based Non-Invasive Chinese Speech Decoding
As an emerging paradigm of brain-computer interfaces (BCIs), speech BCI has the potential to directly reflect auditory perception and thoughts, offering a promising communication alternative for patients with aphasia. Chinese is one of the most widely spoken languages in the world, whereas there is very limited research on speech BCIs for Chinese language. This paper reports a text-magnetoencephalography (MEG) dataset for non-invasive Chinese speech BCIs. It also proposes a multi-modality assis…

Predicting the response of structurally altered and asymmetrical networks
Melvyn Tyloo
https://arxiv.org/abs/2506.14609 https://arxiv…

Predicting the response of structurally altered and asymmetrical networks
We investigate how the response of coupled dynamical systems is modified due to a structural alteration of the interaction. The majority of the literature focuses on additive perturbations and symmetrical interaction networks. Here, we consider the challenging problem of multiplicative perturbations and asymmetrical interaction coupling. We introduce a framework to approximate the averaged response at each network node for general structural perturbations, including non-normal and asymmetrical …

Frequency Dynamic Convolutions for Sound Event Detection
Hyeonuk Nam
https://arxiv.org/abs/2506.12785 https://arxiv.org/pdf/2506.1278…

Frequency Dynamic Convolutions for Sound Event Detection
Recent research in deep learning-based Sound Event Detection (SED) has primarily focused on Convolutional Recurrent Neural Networks (CRNNs) and Transformer models. However, conventional 2D convolution-based models assume shift invariance along both the temporal and frequency axes, leadin to inconsistencies when dealing with frequency-dependent characteristics of acoustic signals. To address this issue, this study proposes Frequency Dynamic Convolution (FDY conv), which dynamically adjusts convo…

Uncertainty in AI-driven Monte Carlo simulations
Dimitrios Tzivrailis, Alberto Rosso, Eiji Kawasaki
https://arxiv.org/abs/2506.14594 https://

Uncertainty in AI-driven Monte Carlo simulations
In the study of complex systems, evaluating physical observables often requires sampling representative configurations via Monte Carlo techniques. These methods rely on repeated evaluations of the system's energy and force fields, which can become computationally expensive, particularly in the presence of long-range interactions. To accelerate these simulations, deep learning models are increasingly employed as surrogate functions to approximate the energy landscape or force fields. However, su…

[2025-06-16 Mon (UTC), no new articles found for physics.data-an Data Analysis, Statistics and Probability]
toXiv_bot_toot

Using Neurogram Similarity Index Measure (NSIM) to Model Hearing Loss and Cochlear Neural Degeneration
Ahsan J. Cheema, Sunil Puria
https://arxiv.org/abs/2506.12705

Using Neurogram Similarity Index Measure (NSIM) to Model Hearing Loss and Cochlear Neural Degeneration
Trouble hearing in noisy situations remains a common complaint for both individuals with hearing loss and individuals with normal hearing. This is hypothesized to arise due to condition called: cochlear neural degeneration (CND) which can also result in significant variabilities in hearing aids outcomes. This paper uses computational models of auditory periphery to simulate various hearing tasks. We present an objective method to quantify hearing loss and CND by comparing auditory nerve fiber r…

The phenomenological renormalization group in neuronal models near criticality
Kaio F. R. Nascimento, Daniel M. Castro, Gustavo G. Cambrainha, Mauro Copelli
https://arxiv.org/abs/2506.14053

The phenomenological renormalization group in neuronal models near criticality
The phenomenological renormalization group (PRG) has been applied to the study of scaleinvariant phenomena in neuronal data, providing evidence for critical phenomena in the brain. However, it remains unclear how reliably these observed signatures indicate genuine critical behavior, as it is not well established how close to criticality a system must be for them to emerge. Here, we rely on neuronal models with known critical points to investigate under which conditions the PRG procedure yields …

Towards Neural Audio Codec Source Parsing
Orchid Chetia Phukan, Girish, Mohd Mujtaba Akhtar, Arun Balaji Buduru, Rajesh Sharma
https://arxiv.org/abs/2506.12627

Towards Neural Audio Codec Source Parsing
A new class of audio deepfakes-codecfakes (CFs)-has recently caught attention, synthesized by Audio Language Models that leverage neural audio codecs (NACs) in the backend. In response, the community has introduced dedicated benchmarks and tailored detection strategies. As the field advances, efforts have moved beyond binary detection toward source attribution, including open-set attribution, which aims to identify the NAC responsible for generation and flag novel, unseen ones during inference.…

[2025-06-18 Wed (UTC), 3 new articles found for cond-mat.dis-nn Disordered Systems and Neural Networks]
toXiv_bot_toot

Mitigating Non-Target Speaker Bias in Guided Speaker Embedding
Shota Horiguchi, Takanori Ashihara, Marc Delcroix, Atsushi Ando, Naohiro Tawara
https://arxiv.org/abs/2506.12500

Mitigating Non-Target Speaker Bias in Guided Speaker Embedding
Obtaining high-quality speaker embeddings in multi-speaker conditions is crucial for many applications. A recently proposed guided speaker embedding framework, which utilizes speech activities of target and non-target speakers as clues, drastically improved embeddings under severe overlap with small degradation in low-overlap cases. However, since extreme overlaps are rare in natural conversations, this degradation cannot be overlooked. This paper first reveals that the degradation is caused by…

Replaced article(s) found for cond-mat.dis-nn. https://arxiv.org/list/cond-mat.dis-nn/new
[1/1]:
Localization with non-Hermitian off-diagonal disorder

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Yinghao Ma, Siyou Li, Juntao Yu, Emmanouil Benetos, Akira Maezawa
https://arxiv.org/abs/2506.12285 …

CMI-Bench: A Comprehensive Benchmark for Evaluating Music Instruction Following
Recent advances in audio-text large language models (LLMs) have opened new possibilities for music understanding and generation. However, existing benchmarks are limited in scope, often relying on simplified tasks or multi-choice evaluations that fail to reflect the complexity of real-world music analysis. We reinterpret a broad range of traditional MIR annotations as instruction-following formats and introduce CMI-Bench, a comprehensive music instruction following benchmark designed to evaluat…

MEMS Switch Enabled Spatiotemporally Modulated Isolators
Connor Devitt, Yong-bok Lee, Pavitra Jain, Sunil A. Bhave, Xu Zhu, Nicholas Yost, Yabei Gu
https://arxiv.org/abs/2506.11861

MEMS Switch Enabled Spatiotemporally Modulated Isolators
This work reports the simulation, design, and implementation of a compact MEMS switch based spatiotemporally modulated (STM) bandpass filtering isolator to improve self-interference cancellation (SIC) in underwater acoustic communication networks. Conventional ferrite circulators are unavailable in ultrasonic frequency ranges limiting SIC to techniques such as spatial cancellation and adaptive digital cancellation. This study details a sub-megahertz electronic non-magnetic filtering isolator. H…

Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis
Zongli Ye, Jiachen Lian, Xuanru Zhou, Jinming Zhang, Haodong Li, Shuhe Li, Chenxu Guo, Anaisha Das, Peter Park, Zoe Ezzes, Jet Vonk, Brittany Morin, Rian Bogley, Lisa Wauters, Zachary Miller, Maria Gorno-Tempini, Gopala Anumanchipalli
https://arxiv.org/abs/2…

Seamless Dysfluent Speech Text Alignment for Disordered Speech Analysis
Accurate alignment of dysfluent speech with intended text is crucial for automating the diagnosis of neurodegenerative speech disorders. Traditional methods often fail to model phoneme similarities effectively, limiting their performance. In this work, we propose Neural LCS, a novel approach for dysfluent text-text and speech-text alignment. Neural LCS addresses key challenges, including partial alignment and context-aware similarity mapping, by leveraging robust phoneme-level modeling. We eval…

Evaluating Logit-Based GOP Scores for Mispronunciation Detection
Aditya Kamlesh Parikh, Cristian Tejedor-Garcia, Catia Cucchiarini, Helmer Strik
https://arxiv.org/abs/2506.12067

Evaluating Logit-Based GOP Scores for Mispronunciation Detection
Pronunciation assessment relies on goodness of pronunciation (GOP) scores, traditionally derived from softmax-based posterior probabilities. However, posterior probabilities may suffer from overconfidence and poor phoneme separation, limiting their effectiveness. This study compares logit-based GOP scores with probability-based GOP scores for mispronunciation detection. We conducted our experiment on two L2 English speech datasets spoken by Dutch and Mandarin speakers, assessing classification …

[2025-06-16 Mon (UTC), no new articles found for nlin.PS Pattern Formation and Solitons]
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On Apparent Absence of Green Gap in InGaN/GaN Quantum Disks and Wells Grown by Plasma-Assisted Molecular Beam Epitaxy
Sharif Md. Sadaf, Nirmal Anand, Emile A. Carbone, Dipon K. Ghosh, Haipeng Tang
https://arxiv.org/abs/2506.11782

On Apparent Absence of Green Gap in InGaN/GaN Quantum Disks and Wells Grown by Plasma-Assisted Molecular Beam Epitaxy
III-nitride based full-color blue, green and red-light emitting diodes are critically important for a broad range of important applications. To date, however, green or red color III-nitride light emitters grown by conventional growth techniques are limited in efficiency compared to blue emitters. As opposed to metal-organic chemical vapor deposition (MOCVD), while grown by plasma-assisted molecular beam epitaxy (PAMBE), the most intense emission is generally observed in the green spectral regio…

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models
Jiajun He, Naoki Sawada, Koichi Miyazaki, Tomoki Toda
https://arxiv.org/abs/2506.12059

CMT-LLM: Contextual Multi-Talker ASR Utilizing Large Language Models
In real-world applications, automatic speech recognition (ASR) systems must handle overlapping speech from multiple speakers and recognize rare words like technical terms. Traditional methods address multi-talker ASR and contextual biasing separately, limiting performance in complex scenarios. We propose a unified framework that combines multi-talker overlapping speech recognition and contextual biasing into a single task. Our ASR method integrates pretrained speech encoders and large language …

[2025-06-17 Tue (UTC), 15 new articles found for eess.AS Audio and Speech Processing]
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Metallization of leaf-derived lignocellulose scaffolds for high performance flexible electronics and oligodynamic disinfection
Rakesh Rajendran Nair, Mihai Nita-Lazar, Valeriu Robert Badescu, Cristina Iftode, Jakob Wolansky, Tobias Antrack, Hans Kleemann, Karl Leo
https://arxiv.org/abs/2506.11640…

Metallization of leaf-derived lignocellulose scaffolds for high performance flexible electronics and oligodynamic disinfection
Vascular tubules in natural leaves form quasi-fractal networks that can be metallized. Traditional metallization techniques for these lignocellulose structures are complex, involving metal sputtering, nanoparticle solutions, or multiple chemical pretreatments. Here we present a novel, facile, and reliable method for metallizing leaf-derived lignocellulose scaffolds using silver microparticles. The method achieves properties on-par with the state-of-the-art, such as broadband optical transmittan…

Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
SMILE: Speech Meta In-Context Learning for Low-Resource Language Automatic Speech Recognition

InGaN Nanopixel Arrays on Single Crystal GaN Substrate
Nirmal Anand, Sadat Tahmeed Azad, Christy Giji Jenson, Dipon Kumar Ghosh, Md Zunaid Baten, Pei-Cheng Ku, Grzegorz Muziol, Sharif Sadaf
https://arxiv.org/abs/2506.11408

InGaN Nanopixel Arrays on Single Crystal GaN Substrate
Indium gallium nitride (InGaN) quantum well (QW) micro- and nano-scale light-emitting diodes (LEDs) are vital to the next-generation optoelectronic applications such as ultrahigh-speed optical interconnects and near-eye augmented/virtual reality displays. However, scaling to nanoscale dimensions introduces several challenges, including an increased nonradiative recombination from surface states and defect-related emission degradation. In this work, we present a high-performance, strain-relaxed …

[2025-06-16 Mon (UTC), 4 new articles found for physics.app-ph Applied Physics]
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[2025-06-16 Mon (UTC), no new articles found for cond-mat.dis-nn Disordered Systems and Neural Networks]
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Tracking of Spatially Dynamic Room Impulse Responses Along Locally Linearized Trajectories
Kathleen MacWilliam, Thomas Dietzen, Toon van Waterschoot
https://arxiv.org/abs/2506.11703

Tracking of Spatially Dynamic Room Impulse Responses Along Locally Linearized Trajectories
Measuring room impulse responses (RIRs) at multiple spatial points is a time-consuming task, while simulations require detailed knowledge of the room's acoustic environment. In prior work, we proposed a method for estimating the early part of RIRs along a linear trajectory in a time-varying acoustic scenario involving a static sound source and a microphone moving at constant velocity. This approach relies on measured RIRs at the start and end points of the trajectory and assumes that the time i…

Lightweight and Robust Multi-Channel End-to-End Speech Recognition with Spherical Harmonic Transform
Xiangzhu Kong, Huang Hao, Zhijian Ou
https://arxiv.org/abs/2506.11630

Lightweight and Robust Multi-Channel End-to-End Speech Recognition with Spherical Harmonic Transform
This paper presents SHTNet, a lightweight spherical harmonic transform (SHT) based framework, which is designed to address cross-array generalization challenges in multi-channel automatic speech recognition (ASR) through three key innovations. First, SHT based spatial sound field decomposition converts microphone signals into geometry-invariant spherical harmonic coefficients, isolating signal processing from array geometry. Second, the Spatio-Spectral Attention Fusion Network (SSAFN) combines …

From Sharpness to Better Generalization for Speech Deepfake Detection
Wen Huang, Xuechen Liu, Xin Wang, Junichi Yamagishi, Yanmin Qian
https://arxiv.org/abs/2506.11532

From Sharpness to Better Generalization for Speech Deepfake Detection
Generalization remains a critical challenge in speech deepfake detection (SDD). While various approaches aim to improve robustness, generalization is typically assessed through performance metrics like equal error rate without a theoretical framework to explain model performance. This work investigates sharpness as a theoretical proxy for generalization in SDD. We analyze how sharpness responds to domain shifts and find it increases in unseen conditions, indicating higher model sensitivity. Bas…

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders
Xingwei Sun, Heinrich Dinkel, Yadong Niu, Linzhang Wang, Junbo Zhang, Jian Luan
https://arxiv.org/abs/2506.11514

Efficient Speech Enhancement via Embeddings from Pre-trained Generative Audioencoders
Recent research has delved into speech enhancement (SE) approaches that leverage audio embeddings from pre-trained models, diverging from time-frequency masking or signal prediction techniques. This paper introduces an efficient and extensible SE method. Our approach involves initially extracting audio embeddings from noisy speech using a pre-trained audioencoder, which are then denoised by a compact encoder network. Subsequently, a vocoder synthesizes the clean speech from denoised embeddings.…

Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
Soumen Garai, Suman Samui
https://arxiv.org/abs/2506.11169

Advances in Small-Footprint Keyword Spotting: A Comprehensive Review of Efficient Models and Algorithms
Small-Footprint Keyword Spotting (SF-KWS) has gained popularity in today's landscape of smart voice-activated devices, smartphones, and Internet of Things (IoT) applications. This surge is attributed to the advancements in Deep Learning, enabling the identification of predefined words or keywords from a continuous stream of words. To implement the SF-KWS model on edge devices with low power and limited memory in real-world scenarios, a efficient Tiny Machine Learning (TinyML) framework is essen…

S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamlessly Speech-Text Alignment and Streaming Speech Decoder
Yu Pan, Yuguang Yang, Yanni Hu, Jianhao Ye, Xiang Zhang, Hongbin Zhou, Lei Ma, Jianjun Zhao
https://arxiv.org/abs/2506.11160

S2ST-Omni: An Efficient and Scalable Multilingual Speech-to-Speech Translation Framework via Seamlessly Speech-Text Alignment and Streaming Speech Decoder
Multilingual speech-to-speech translation (S2ST) aims to directly convert spoken utterances from multiple source languages into natural and intelligible speech in a target language. Despite recent progress, significant challenges remain: (1) achieving high-quality and low-latency S2ST remains a critical hurdle; (2) existing S2ST approaches heavily rely on large-scale parallel speech corpora, which are extremely difficult to collect. To address these issues, we propose S2ST-Omni, an efficient an…

Improved in-car sound pick-up using multichannel Wiener filter
Juhi Khalid, Martin Bouchard
https://arxiv.org/abs/2506.11157 https://…

Improved in-car sound pick-up using multichannel Wiener filter
With advancements in automotive electronics and sensors, the sound pick-up using multiple microphones has become feasible for hands-free telephony and voice command in-car applications. However, challenges remain in effectively processing multiple microphone signals due to bandwidth or processing limitations. This work explores the use of the Multichannel Wiener Filter algorithm with a two-microphone in-car system, to enhance speech quality for driver and passenger voice, i.e., to mitigate notc…

Tracking of Intermittent and Moving Speakers : Dataset and Metrics
Taous Iatariene (MULTISPEECH), Alexandre Gu\'erin (MULTISPEECH), Romain Serizel (MULTISPEECH)
https://arxiv.org/abs/2506.11145

Tracking of Intermittent and Moving Speakers : Dataset and Metrics
This paper presents the problem of tracking intermittent and moving sources, i.e, sources that may change position when they are inactive. This issue is seldom explored, and most current tracking methods rely on spatial observations for track identity management. They are either based on a previous localization step, or designed to perform joint localization and tracking by predicting ordered position estimates. This raises concerns about whether such methods can maintain reliable track identit…

Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM
Jeena Prakash, Blessingh Kumar, Kadri Hacioglu, Bidisha Sharma, Sindhuja Gopalan, Malolan Chetlur, Shankar Venkatesan, Andreas Stolcke
https://arxiv.org/abs/2506.11089

Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM
Automatic speech recognition (ASR) models rely on high-quality transcribed data for effective training. Generating pseudo-labels for large unlabeled audio datasets often relies on complex pipelines that combine multiple ASR outputs through multi-stage processing, leading to error propagation, information loss and disjoint optimization. We propose a unified multi-ASR prompt-driven framework using postprocessing by either textual or speech-based large language models (LLMs), replacing voting or o…

Intelligibility of Text-to-Speech Systems for Mathematical Expressions
Sujoy Roychowdhury, H. G. Ranjani, Sumit Soman, Nishtha Paul, Subhadip Bandyopadhyay, Siddhanth Iyengar
https://arxiv.org/abs/2506.11086

Intelligibility of Text-to-Speech Systems for Mathematical Expressions
There has been limited evaluation of advanced Text-to-Speech (TTS) models with Mathematical eXpressions (MX) as inputs. In this work, we design experiments to evaluate quality and intelligibility of five TTS models through listening and transcribing tests for various categories of MX. We use two Large Language Models (LLMs) to generate English pronunciation from LaTeX MX as TTS models cannot process LaTeX directly. We use Mean Opinion Score from user ratings and quantify intelligibility through…

Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts
Lingyun Gao, Cristian Tejedor-Garcia, Catia Cucchiarini, Helmer Strik
https://arxiv.org/abs/2506.11079

Improving Child Speech Recognition and Reading Mistake Detection by Using Prompts
Automatic reading aloud evaluation can provide valuable support to teachers by enabling more efficient scoring of reading exercises. However, research on reading evaluation systems and applications remains limited. We present a novel multimodal approach that leverages audio and knowledge from text resources. In particular, we explored the potential of using Whisper and instruction-tuned large language models (LLMs) with prompts to improve transcriptions for child speech recognition, as well as …

Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity
Loann Peurey, Marvin Lavechin, Tarek Kunze, Manel Khentout, Lucas Gautheron, Emmanuel Dupoux, Alejandrina Cristia
https://arxiv.org/abs/2506.11075

Fifteen Years of Child-Centered Long-Form Recordings: Promises, Resources, and Remaining Challenges to Validity
Audio-recordings collected with a child-worn device are a fundamental tool in child language research. Long-form recordings collected over whole days promise to capture children's input and production with minimal observer bias, and therefore high validity. The sheer volume of resulting data necessitates automated analysis to extract relevant metrics for researchers and clinicians. This paper summarizes collective knowledge on this technique, providing entry points to existing resources. We als…

Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier
Tarek Kunze, Marianne M\'etais, Hadrien Titeux, Lucas Elbert, Joseph Coffey, Emmanuel Dupoux, Alejandrina Cristia, Marvin Lavechin
https://arxiv.org/abs/2506.11074

Challenges in Automated Processing of Speech from Child Wearables: The Case of Voice Type Classifier
Recordings gathered with child-worn devices promised to revolutionize both fundamental and applied speech sciences by allowing the effortless capture of children's naturalistic speech environment and language production. This promise hinges on speech technologies that can transform the sheer mounds of data thus collected into usable information. This paper demonstrates several obstacles blocking progress by summarizing three years' worth of experiments aimed at improving one fundamental task: V…

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling
Tahiya Chowdhury, Veronica Romero
https://arxiv.org/abs/2506.11072

Can We Trust Machine Learning? The Reliability of Features from Open-Source Speech Analysis Tools for Speech Modeling
Machine learning-based behavioral models rely on features extracted from audio-visual recordings. The recordings are processed using open-source tools to extract speech features for classification models. These tools often lack validation to ensure reliability in capturing behaviorally relevant information. This gap raises concerns about reproducibility and fairness across diverse populations and contexts. Speech processing tools, when used outside of their design context, can fail to capture b…

Embedded Acoustic Intelligence for Automotive Systems
Renjith Rajagopal, Peter Winzell, Sladjana Strbac, Konstantin Lindstr\"om, Petter H\"orling, Faisal Kohestani, Niloofar Mehrzad
https://arxiv.org/abs/2506.11071

Embedded Acoustic Intelligence for Automotive Systems
Transforming sound insights into actionable streams of data, this abstract leverages findings from degree thesis research to enhance automotive system intelligence, enabling us to address road type [1].By extracting and interpreting acoustic signatures from microphones installed within the wheelbase of a car, we focus on classifying road type.Utilizing deep neural networks and feature extraction powered by pre-trained models from the Open AI ecosystem (via Hugging Face [2]), our approach enable…

Regularized Federated Learning for Privacy-Preserving Dysarthric and Elderly Speech Recognition
Tao Zhong, Mengzhe Geng, Shujie Hu, Guinan Li, Xunying Liu
https://arxiv.org/abs/2506.11069

Regularized Federated Learning for Privacy-Preserving Dysarthric and Elderly Speech Recognition
Accurate recognition of dysarthric and elderly speech remains challenging to date. While privacy concerns have driven a shift from centralized approaches to federated learning (FL) to ensure data confidentiality, this further exacerbates the challenges of data scarcity, imbalanced data distribution and speaker heterogeneity. To this end, this paper conducts a systematic investigation of regularized FL techniques for privacy-preserving dysarthric and elderly speech recognition, addressing differ…

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
Jiajun He, Tomoki Toda
https://arxiv.org/abs/2506.11064 …

PMF-CEC: Phoneme-augmented Multimodal Fusion for Context-aware ASR Error Correction with Error-specific Selective Decoding
End-to-end automatic speech recognition (ASR) models often struggle to accurately recognize rare words. Previously, we introduced an ASR postprocessing method called error detection and context-aware error correction (ED-CEC), which leverages contextual information such as named entities and technical terms to improve the accuracy of ASR transcripts. Although ED-CEC achieves a notable success in correcting rare words, its accuracy remains low when dealing with rare words that have similar pronu…

[2025-06-16 Mon (UTC), 17 new articles found for eess.AS Audio and Speech Processing]
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Replaced article(s) found for eess.AS. https://arxiv.org/list/eess.AS/new
[1/1]:
Non-intrusive Speech Quality Assessment with Diffusion Models Trained on Clean Speech