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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

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12 results for “ASV”

Extrapolating false alarm rates in automatic speaker verificationeess.AS

New models extrapolate false alarms in ASV without new data.

problem Reliable extrapolation of false alarm rates in ASV without new speaker data.

method Generative models in ASV score space for arbitrary systems.

result Models accurately extrapolate false alarm rates for large speaker populations.

speaker verification false alarm rate extrapolation generative models ASV score space

2020-08-08abs ↗pdf ↗

Adversarial Speaker Verificationcs.SD

Adversarial ASV improves speaker verification robustness.

problem Mismatches in training, enrollment, and test conditions degrade deep speaker embeddings.

method Adversarial multi-task training to learn condition-invariant embeddings.

result 8.8% and 14.5% relative EER improvements for known and unknown conditions.

speaker verification adversarial training deep embeddings condition variability equal error rate

2019-04-29abs ↗pdf ↗

Can We Use Speaker Recognition Technology to Attack Itself? Enhancing Mimicry Attacks Using Automatic Target Speaker Selectioneess.AS

Study shows mimicry attacks fail even with ASV-assisted target selection.

problem Can mimicry attacks be successful with ASV-assisted target selection?

method Used ASV to select target speakers for mimicry attacks and tested with x-vector system.

result Mimics did not succeed in spoofing the x-vector system, but relative ordering of targets was consistent.

speaker recognition mimicry attacks ASV x-vector target selection

2018-11-09abs ↗pdf ↗

Voice Biometrics Security: Extrapolating False Alarm Rate via Hierarchical Bayesian Modeling of Speaker Verification Scoreseess.AS

Study speaker verification security using hierarchical Bayesian modeling.

problem Estimating false alarm rate in ASV systems for large speaker databases.

method Hierarchical Bayesian modeling of ASV scores to assess security against closest impostors.

result Neither i-vector nor x-vector systems are secure against increased impostor database size.

speaker verification false alarm rate Bayesian modeling impostor security large speaker databases

2019-11-04abs ↗pdf ↗

An initial investigation on optimizing tandem speaker verification and countermeasure systems using reinforcement learningeess.AS

This study combines ASV and CM systems for better performance using reinforcement learning.

problem Improving the combined performance of ASV and CM systems for better t-DCF measure.

method Training ASV and CM components together using reinforcement learning.

result Training ASV and CM components together improves the performance of the combined system.

speaker verification reinforcement learning spoofing countermeasure tandem detection cost function

2020-02-06abs ↗pdf ↗

t-DCF: a Detection Cost Function for the Tandem Assessment of Spoofing Countermeasures and Automatic Speaker Verificationeess.AS

The ASVspoof challenge series was born to spearhead research in anti-spoofing for automatic speaker verification (ASV). The two challenge editions in 2015 and 2017 involved the assessment of spoofing countermeasures (CMs) in isolation from ASV using an equal error rate (EER) metric. While a strategic approach to assess…

2018-04-25abs ↗pdf ↗

Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainabilitystat.ML

ASVs incorporate causal knowledge into AI explainability.

problem AI explainability and fairness in models.

method Introduces Asymmetric Shapley values (ASVs) to incorporate causal structure.

result ASVs improve model explanations, detect unfair discrimination, and support feature selection.

AI explainability Shapley values causal inference model fairness sequential explanations

2019-10-14abs ↗pdf ↗

Supervector Compression Strategies to Speed up I-Vector System Developmenteess.AS

The front-end factor analysis (FEFA), an extension of principal component analysis (PPCA) tailored to be used with Gaussian mixture models (GMMs), is currently the prevalent approach to extract compact utterance-level features (i-vectors) for automatic speaker verification (ASV) systems. Little research has been conduc…

2018-05-03abs ↗pdf ↗

Anti-spoofing Methods for Automatic SpeakerVerification Systemcs.SD

Growing interest in automatic speaker verification (ASV)systems has lead to significant quality improvement of spoofing attackson them. Many research works confirm that despite the low equal er-ror rate (EER) ASV systems are still vulnerable to spoofing attacks. Inthis work we overview different acoustic feature spaces…

2017-05-24abs ↗pdf ↗

STC Anti-spoofing Systems for the ASVspoof 2015 Challengecs.SD

This paper presents the Speech Technology Center (STC) systems submitted to Automatic Speaker Verification Spoofing and Countermeasures (ASVspoof) Challenge 2015. In this work we investigate different acoustic feature spaces to determine reliable and robust countermeasures against spoofing attacks. In addition to the c…

2015-07-29abs ↗pdf ↗

A Study on Angular Based Embedding Learning for Text-independent Speaker Verificationcs.LG

Study improves speaker verification accuracy using angular based embedding learning.

problem Improving discriminative power of embeddings for open-set speaker verification.

method Optimizes angular distance and adds margin penalty, applying various angular margin embedding strategies and proposing inter-class regularization.

result Achieved impressive results with 16.5% improvement in EER and 18.2% improvement in minimum detection cost function.

speaker verification embedding learning angular distance margin penalty inter-class regularization

2019-08-12abs ↗pdf ↗

Poisson Hierarchical Indian Buffet Processes-With Indications for Microbiome Species Sampling Modelsstat.ML

PHIBP models complex microbiome data with shared parameters.

problem Complex, sparse count data in microbiome analysis.

method Bayesian nonparametric framework with shared species parameters.

result Flexible multivariate count model with tractable inference.

Bayesian nonparametric species sampling microbiome analysis count data overdispersion

2025-02-04abs ↗pdf ↗