Tootfinder

A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2
Thomas Serre (S2A, IDS), Mathieu Fontaine (S2A, IDS), \'Eric Benhaim (S2A, IDS), Geoffroy Dutour (S2A, IDS), Slim Essid (S2A, IDS)
https://arxiv.org/abs/2404.08022

A lightweight dual-stage framework for personalized speech enhancement based on DeepFilterNet2
Isolating the desired speaker's voice amidst multiplespeakers in a noisy acoustic context is a challenging task. Per-sonalized speech enhancement (PSE) endeavours to achievethis by leveraging prior knowledge of the speaker's voice.Recent research efforts have yielded promising PSE mod-els, albeit often accompanied by computationally intensivearchitectures, unsuitable for resource-constrained embeddeddevices. In this paper, we introduce a novel method to per-sonalize a lightweight dual-stage Spe…

Type-I two-Higgs-doublet model and gravitational waves from domain walls bounded by strings
Bowen Fu, Anish Ghoshal, Stephen F. King, Moinul Hossain Rahat
https://arxiv.org/abs/2404.16931

Type-I two-Higgs-doublet model and gravitational waves from domain walls bounded by strings
The spontaneous breaking of a $U(1)$ symmetry via an intermediate discrete symmetry may yield a hybrid topological defect of "domain walls bounded by cosmic strings". The decay of this defect network leads to a unique gravitational wave signal spanning many orders in observable frequencies, that can be distinguished from signals generated by other sources. We investigate the production of gravitational waves from this mechanism in the context of the type-I two-Higgs-doublet model extended by a …

This https://arxiv.org/abs/2401.11254 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
In the current landscape of online abuses and harms, effective content moderation is necessary to cultivate safe and inclusive online spaces. Yet, the effectiveness of many moderation interventions is still unclear. Here, we assess the effectiveness of The Great Ban, a massive deplatforming operation that affected nearly 2,000 communities on Reddit. By analyzing 16M comments posted by 17K users during 14 months, we provide nuanced results on the effects, both desired and otherwise, of the ban. …

Type-I two-Higgs-doublet model and gravitational waves from domain walls bounded by strings
Bowen Fu, Anish Ghoshal, Stephen F. King, Moinul Hossain Rahat
https://arxiv.org/abs/2404.16931

Type-I two-Higgs-doublet model and gravitational waves from domain walls bounded by strings
The spontaneous breaking of a $U(1)$ symmetry via an intermediate discrete symmetry may yield a hybrid topological defect of "domain walls bounded by cosmic strings". The decay of this defect network leads to a unique gravitational wave signal spanning many orders in observable frequencies, that can be distinguished from signals generated by other sources. We investigate the production of gravitational waves from this mechanism in the context of the type-I two-Higgs-doublet model extended by a …

Non-additivity in many-body interactions between membrane-deforming spheres increases disorder
Ali Azadbakht, Thomas R. Weikl, Daniela J. Kraft
https://arxiv.org/abs/2403.05253

Non-additivity in many-body interactions between membrane-deforming spheres increases disorder
Membrane-induced interactions have been predicted to be important for the organization of membrane proteins. Measurements of the interactions between two and three membrane deforming objects have revealed their non-additive nature. They are thought to lead to complex many-body effects, however, experimental evidence is lacking to date. We here present an experimental method to measure many-body effects in membrane-mediated interactions using colloidal spheres placed between a deflated giant uni…

Out-of-Distribution Detection using Maximum Entropy Coding
Mojtaba Abolfazli, Mohammad Zaeri Amirani, Anders H{\o}st-Madsen, June Zhang, Andras Bratincsak
https://arxiv.org/abs/2404.17023

Out-of-Distribution Detection using Maximum Entropy Coding
Given a default distribution $P$ and a set of test data $x^M=\{x_1,x_2,\ldots,x_M\}$ this paper seeks to answer the question if it was likely that $x^M$ was generated by $P$. For discrete distributions, the definitive answer is in principle given by Kolmogorov-Martin-Löf randomness. In this paper we seek to generalize this to continuous distributions. We consider a set of statistics $T_1(x^M),T_2(x^M),\ldots$. To each statistic we associate its maximum entropy distribution and with this a univ…

This https://arxiv.org/abs/2403.05745 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Bounding Stochastic Safety: Leveraging Freedman's Inequality with Discrete-Time Control Barrier Functions
When deployed in the real world, safe control methods must be robust to unstructured uncertainties such as modeling error and external disturbances. Typical approaches either leverage worst-case uncertainty bounds to provide safety guarantees for an expanded (overly conservative) safe set or synthesize controllers that always assume the worst-case disturbance will occur. In contrast, this paper utilizes Freedman's inequality in the context of discrete-time control barrier functions (DTCBFs) to …

This https://arxiv.org/abs/2401.11254 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSI_…

The Great Ban: Efficacy and Unintended Consequences of a Massive Deplatforming Operation on Reddit
In the current landscape of online abuses and harms, effective content moderation is necessary to cultivate safe and inclusive online spaces. Yet, the effectiveness of many moderation interventions is still unclear. Here, we assess the effectiveness of The Great Ban, a massive deplatforming operation that affected nearly 2,000 communities on Reddit. By analyzing 16M comments posted by 17K users during 14 months, we provide nuanced results on the effects, both desired and otherwise, of the ban. …

Tensor network formulation of symmetry protected topological phases in mixed states
Hanyu Xue, Jong Yeon Lee, Yimu Bao
https://arxiv.org/abs/2403.17069 htt…

Tensor network formulation of symmetry protected topological phases in mixed states
We define and classify symmetry-protected topological (SPT) phases in mixed states based on the tensor network formulation of the density matrix. In one dimension, we introduce strong injective matrix product density operators (MPDO), which describe a broad class of short-range correlated mixed states, including the locally decohered SPT states. We map strong injective MPDO to a pure state in the doubled Hilbert space and define the SPT phases according to the cohomology class of the symmetry g…

Scalar Dark Matter and Stability of Higgs Vacuum within a Minimal SO(10) GUT Model
Nilavjyoti Hazarika, Paramita Deka, Kalpana Bora
https://arxiv.org/abs/2403.13529

Scalar Dark Matter and Stability of Higgs Vacuum within a Minimal SO(10) GUT Model
In this work, we delve to investigate a feasible range of dark matter (DM) masses within a non-supersymmetric $SO(10)$ Grand Unified Theory (GUT) scalar dark matter model, in freeze-out scenario. This model includes a singlet scalar denoted as S and an inert doublet represented by $ϕ$. Being part of SO(10), the quantum numbers of DM particles are assigned and hence we know their nature. These fields are odd under a discrete $Z_2$ matter parity $(-1)^{3(B-L)}$. The dark matter with mass 300 $\l…