The article presents REVEAL, a new dataset for benchmarking automatic verifiers of complex reasoning chains in language models. This is useful in complex reasoning tasks that require step-by-step answers, known…
Continue readingThe paper introduces ESPnet-SPK, a toolkit for training speaker embedding extractors. It offers an open-source platform for the speaker recognition community to build models, ranging from x-vector to recent SKA-TDNN….
Continue readingThe authors discuss the increasing prevalence of neuro-symbolic programs, which combine traditional code with machine learning components, emphasizing the need for their verification. They identify the ’embedding gap’, a lack…
Continue readingThe article introduces a new model called VOT to revolutionize speaker verification. It proposes a Memory-Attention framework that uses a deep feed-forward temporal memory network (DFSMN) into a self-attention mechanism….
Continue readingThe article introduces a new compiler-verifier suite based on Wasmtime, preserving the constant-time property throughout all optimization passes. This process provides microarchitectural guarantees with the forthcoming ARM PSTATE.DIT feature. The…
Continue readingThis academic article focuses on the development of neural network controllers for autonomous systems with unknown and stochastic dynamics. The authors propose a new approach to check and compute a…
Continue readingThe study investigates the use of neural replay simulators to improve the robustness of over-the-air adversarial attacks on Automatic Speaker Verification (ASV) systems. ASV systems, powered by deep learning, are…
Continue readingThis academic paper discusses the vulnerability of Automatic Speaker Verification (ASV) systems built on deep neural networks to adversarial attacks. The researchers have developed an open-source adversarial attack dataset for…
Continue readingThe article presents a novel approach to speaker verification, a key technology for person authentication. It focuses on audio-visual fusion, leveraging both faces and voices for more comprehensive information. The…
Continue readingThe paper presents a new metric, t-EER, for the joint evaluation of Presentation Attack Detection (PAD) solutions and biometric verification. The t-EER is parameter-free and provides an equal false alarm…
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