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Month: November 2023

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  • November

Robust Wake-up Word by Two-stage Multi-resolution Ensembles

November 27, 2023December 4, 2023 daniel

Speaker: William Fernando López Gaviánez. Abstract: Voice-based interfaces rely on a wake-up word mechanism to initiate communication with devices. However, achieving a robust, energy-efficient, and fast detection remains a challenge. This paper addresses these real production needs by enhancing data… Read More

AUDIAS Seminars

Towards automatic inspection of nuclear fuel elements in spent fuel storage with AI tools.

November 20, 2023December 4, 2023 daniel

Speaker: Sergio Segovia González. Abstract: New way to automatize the inspection of nuclear fuel elements in spent fuel storage processing video signal and audio signal. For video signal, it is developed a custom database including images from several nuclear facilities… Read More

AUDIAS Seminars

FLIP (Fitness Landscape Inference for Proteins)

November 6, 2023November 10, 2023 daniel

Speaker: Natalia Pinto Estéban. Abstract: Machine learning is growing in significance across various research domains. One of these domains is biology, specifically focusing on protein engineering and directed evolution techniques. This presentation is grounded in the FLIP paper (Fitness Landscape… Read More

AUDIAS Seminars

AUDIAS Seminars

Titans: Learning to Memorize at Test Time

October 23, 2025

Speaker: Adrián Aranda Márquez. Abstract: This presentation provides an in-depth…

Calibration and Fusion of End-to-End Neural Diarization Models: A Comprehensive Framework

October 16, 2025

Speaker: Sergio Álvarez Balanya Abstract: End-to-End Neural Diarization (EEND) systems…

YOLO-based Transfer Learning for Acoustic Event Detection using Visual Object Detection Techniques

October 9, 2025

Speaker: Sergio Segovia González. Abstract: Traditional SED approaches are based…

Auditory General Intelligence (JSALT-2025)

September 25, 2025

Speaker: Laura Herrera Alarcón. Abstract: The emergence of Large Audio…

About AUDIAS

AUDIAS is a solid research group addressing challenging problems in speech, audio and temporal signals from deep foundations in machine learning and signal processing.

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Highlights

Titans: Learning to Memorize at Test Time

October 23, 2025

Calibration and Fusion of End-to-End Neural Diarization Models: A Comprehensive Framework

October 16, 2025
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