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Author: Adrián Aranda Márquez

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One model to rule them all? Towards end-to-end joint speaker diarization and speech recognition

October 9, 2024July 9, 2025 Adrián Aranda Márquez

Speaker: Laura Herrera Alarcón. Abstract: This paper presents a novel framework for joint speaker diarization (SD) and automatic speech recognition (ASR), named SLIDAR (sliding-window diarization-augmented recognition). SLIDAR can process arbitrary length inputs and can handle any number of speakers, effectively… Read More

AUDIAS Seminars

Alicia Lozano-Diez selected for a MSCA grant for an intership at MIT

April 14, 2023December 4, 2024 Adrián Aranda Márquez

Alicia Lozano-Diez will spend three months as a researcher at the Massachusetts Institute of Technology (MIT, Cambridge, MA, USA) within the GHAIA (Geometric and Harmonic Analysis with InterdisciplinaryApplications) project of the H2020-MSCA-RISE program of the European Commission. She will work… Read More

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AUDIAS Seminars

Rigorous Forensic Automatic Speaker Recognition: Bayesian Decision Theory, Probabilistic Calibration and Case-Specific Validation

July 10, 2026

Speaker: Daniel Ramos. Abstract: The use of automatic speaker recognition…

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…

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

Rigorous Forensic Automatic Speaker Recognition: Bayesian Decision Theory, Probabilistic Calibration and Case-Specific Validation

July 10, 2026

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

July 3, 2026
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