arXiv Machine Learning July 7, 2026 By Santiago Rubio, Pilar Bello, Dayana Ribas, Antonio Miguel, Eduardo Lleida, Alfonso Ortega

An Intervention-Based Framework for Shortcut Diagnosis in Spoofing Countermeasures

Read the original on arXiv Machine Learning →

arXiv:2607. 03150v1 Announce Type: cross Abstract: While deepfake audio detection systems achieve high performance in controlled benchmarks, their reliability often diminishes in the wild.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

benchmarks

arXiv AI

Jul 17

Large Audio Language Models for Spoofing-Aware Speaker Verification

arXiv:2607. 14753v1 Announce Type: cross Abstract: Recent advances in text-to-speech and voice cloning make high-quality spoofing inexpensive and scalable, threatening voice authentication systems, especially automatic speaker verification (ASV).

By Sofya Savelyeva, Mariia Perunova, Evgeny Kushnir, Artem Dvirniak, Dmitrii Korzh, Oleg Y. Rogov

llms multimodal

arXiv AI

Jun 16

Robust Spoofed Speech Detection via Temporal Pyramid Modeling

arXiv:2606. 16837v1 Announce Type: cross Abstract: Spoofed speech detection is increasingly challenged by realistic synthesis, voice conversion, and replay attacks, with cross-dataset generalization remaining a major limitation.

By Mahtab Masoudi Nezhad, Nima Karimian

benchmarks

arXiv AI

Aug 21

Towards Quantifying Benchmark Optimization in ASR Models

arXiv:2608. 19936v1 Announce Type: cross Abstract: Public benchmarks are important measures of Automatic Speech Recognition (ASR) model capabilities.

By Theo Lebryk, David Ayllon, Alice Baird, Jakub Piotr C{\l}apa, Jens Madsen, Panagiotis Tzirakis

multimodal benchmarks

arXiv AI

Jun 17

Membership Inference Attacks against Large Audio Language Models

arXiv:2603. 28378v2 Announce Type: replace-cross Abstract: We present the first systematic Membership Inference Attack (MIA) evaluation of LALMs.

By Jia-Kai Dong, Yu-Xiang Lin, Hung-Yi Lee

llms multimodal benchmarks

arXiv AI

Jul 21

Time-Frequency Consistency Learning for Robust Speech Deepfake Detection

arXiv:2607. 17761v1 Announce Type: cross Abstract: Recently, speech deepfake detection (SDD) has achieved significant progress.

By Jun Xue, Zhuolin Yi, Yanzhen Ren, Yihuan Huang, Jiayu Xiong, Yi Chai, Guanxiang Feng, Jiajun Liu, Tong Zhang

benchmarks safety

arXiv AI

Jul 14

VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion

arXiv:2607. 11706v1 Announce Type: cross Abstract: Modern LLM-driven text-to-speech (TTS) and voice conversion (VC) systems produce synthetic speech that differs from the generators represented in many legacy spoofing benchmarks.

By Aastha Sharma, Guangjing Wang

llms fine-tuning multimodal benchmarks

One email a morning, machine-written

Related stories

Large Audio Language Models for Spoofing-Aware Speaker Verification

Robust Spoofed Speech Detection via Temporal Pyramid Modeling

Towards Quantifying Benchmark Optimization in ASR Models

Membership Inference Attacks against Large Audio Language Models

Time-Frequency Consistency Learning for Robust Speech Deepfake Detection

VoxENES 2026: Benchmarking Generalization of Speech Spoofing Detectors Against LLM-Era TTS and Voice Conversion