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Day: January 1, 2019

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Daniel Ramos visits the Machine Learning Group at the University of Cambridge

January 1, 2019July 1, 2020 audias

Daniel Ramos visited the Machine Learning Group at the University of Cambridge for a research stay from January to May 2019 funded by the Spanish Ministry of Education, to work on probabilistic approaches to likelihood ratio computation in forensic glass… Read More

Highlights, News & Events

AUDIAS starts a new project funded by the Spanish Ministry of Science, Innovation and Universities (grant RTI2018-098091-B-I00)

January 1, 2019July 1, 2020 audias

AUDIAS starts the new project “Aprendizaje Profundo en Voz para Aplicaciones Forenses y de Seguridad“, funded by the Spanish Ministry of Science, Innovation and Universities under grant RTI2018-098091-B-I00. The project will run from Jan. 2019 to Dec. 2021.

Highlights, News & Events

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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