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Day: November 6, 2024

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Towards Efficient Conformer-based Sound Event Detection

November 6, 2024January 30, 2025 Adrián Aranda Márquez

Speaker: Sara Barahona Quirós. Abstract: The Conformer architecture has shown excellent performance in accurately classifying sound events but lacks temporal precision when predicting time boundaries. While increasing the length of the input sequences can mitigate this issue, it also increases… Read More

AUDIAS Seminars

Analysis of Speaker Label Matching for Diarization of Long Audios on RTVE2022 Dataset

November 6, 2024January 30, 2025 Adrián Aranda Márquez

Speaker: Laura Herrera Alarcón. Abstract: This study introduces an algorithm to match predicted speaker labels from short audio segments into a final prediction. This involves extracting an x-vector for each speaker in each segment and applying constrained Agglomerative Clustering to… Read More

AUDIAS Seminars

Analyzing DiaPer EEND Speaker Diarization Models on the RTVE2022 Dataset

November 6, 2024January 30, 2025 Adrián Aranda Márquez

Speaker: Juan Ignacio Álvarez Trejos. Abstract: The task of speaker diarization has lately been successfully tackled with end-to-end neural diarization (EEND) models instead of modular cascaded ones. Among them, the very new EEND Perceiver-based attractors (DiaPer) comes with a light… 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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