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Day: June 19, 2026

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Responsible AI for forensic science with non-human biological findings in the Natural Traces Project

June 19, 2026June 18, 2026 daniel

Speaker: Manuel Fernando Mollón Laorca Abstract: The growing adoption of AI in forensic science demands high performance, interpretability, robustness, and transparency. This research, part of the Horizon Europe Natural Traces Project (https://naturaltraces.com) advances responsible AI through two key forensic applications.… Read More

AUDIAS Seminars

Adapting Speaker Diarization to Code-Switched Medical Conversations: AUDIAS-UAM at the DISPLACE-M Challenge

June 19, 2026June 18, 2026 daniel

Speaker: Sara Barahona Quirós. Abstract: Speaker diarization of medical conversations presents challenges including spontaneous speech, uneven turn-taking, and speaking style differences between patients and doctors. Track 1 of the DISPLACE-M Challenge addresses this scenario through a dataset of Hindi–English clinical… Read More

AUDIAS Seminars

AUDIAS Seminars

FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition

July 3, 2026

Speaker: William Fernando López Gavilanez. Abstract: Automatic speech recognition (ASR)…

Automatic Classification of Classical Music Composers from Audio Signals

July 2, 2026

Speaker: Sonia Aoi García Shida. Abstract: Automatic composer classification is…

Detection and Grouping of Accents within Rural Spanish

July 2, 2026

Speaker: Koral Tubia. Abstract: Rural Spanish preserves a rich dialectal…

Adapting Speaker Diarization to Code-Switched Medical Conversations: AUDIAS-UAM at the DISPLACE-M Challenge

June 19, 2026

Speaker: Sara Barahona Quirós. Abstract: Speaker diarization of medical conversations…

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

FiLM-Based Speaker Conditioning of a SpeechLLM for Pathological Speech Recognition

July 3, 2026

Automatic Classification of Classical Music Composers from Audio Signals

July 2, 2026
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