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Month: March 2025

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You Only Hear Once: A YOLO-like Algorithm for Audio Segmentation and Sound Event Detection

March 26, 2025June 11, 2025 Adrián Aranda Márquez

Speaker: Rosa María Hornero Romera. Abstract: Presentation of paper https://arxiv.org/abs/2109.00962 Audio segmentation and sound event detection are essential aspects of machine listening, focusing on identifying acoustic classes and their boundaries. These tasks play a key role in applications such as… Read More

AUDIAS Seminars

The Expected Cost: One Performance Metric to Rule Them All

March 12, 2025June 11, 2025 Adrián Aranda Márquez

Speaker: Daniel Ramos Castro. Abstract: Based on https://openreview.net/forum?id=3mN9QNWArl. Abstract of original paper: “The expected cost (EC) is one of the main classification metrics introduced in statistical and machine learning books. It is based on the assumption that, for a given… Read More

AUDIAS Seminars

Cybersecurity Today: Attackers and Defenders

March 5, 2025June 11, 2025 Adrián Aranda Márquez

Speaker: Pablo González Escribano. Abstract: As cyber threats continue to evolve at a rapid pace, understanding the tactics, techniques, and procedures (TTPs) employed by attackers is crucial for enhancing defense strategies. In this session, we explored the current landscape of… Read More

AUDIAS Seminars

AUDIAS Seminars

Kolmogorov-Arnold Networks (KANs)

March 6, 2026

Speaker: Doroteo Torre-Toledano. Abstract: The Kolmogorov-Arnold Representation Theorem, KART (1957-58),…

Distributed Acoustic Sensing and Artificial Intelligence for pipeline integrity threat detection

February 20, 2026

Speaker: Javier Tejedor Noguerales. Abstract: This talk presents an advanced…

TidyVoice Challenge: Cross-Lingual Speaker Verification

February 13, 2026

Speaker: Sara Barahona Quirós. Abstract: Cross-lingual speaker verification remains a…

An Introduction to Ethics, Risks and Safety in Artificial Intelligence

February 6, 2026

Speaker: Joaquín González Rodríguez. Abstract: With the omnipresence of AI…

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

Kolmogorov-Arnold Networks (KANs)

March 6, 2026

Distributed Acoustic Sensing and Artificial Intelligence for pipeline integrity threat detection

February 20, 2026
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