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Month: December 2021

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Diego de Benito has returned from his research stay at the Speech@FIT research group of Brno University of Technology (BUT)

December 20, 2021March 8, 2022 audias

Diego de Benito Gorrón has been doing a research stay at the prestigious Speech@FIT group of Brno University of Technology (BUT) in the Czech Republic from September 2021 to December 2021. He has been doing research in acoustic source separation… Read More

Highlights, News & Events

Semi-Supervised Music Tagging Transformer

December 16, 2021March 4, 2022 audias

Speaker: David Martín Abstract: Music Tagging Transformer (MTT) was recently released in the latest ISMIR 2021 Conference as one of the most erupting deep learning approaches for Music Information Retrieval. It consists of a semi-supervised approach where the model captures… Read More

AUDIAS Seminars

Encoder-Decoder Based Attractor Calculation for End-to-End Neural Diarization

December 9, 2021March 7, 2022 audias

Speaker: Alicia Lozano Díez Abstract: In this talk, we will deeply review the algorithms behind end-to-end systems for speaker diarization based on neural networks. In particular, we will describe how the encoder-decoder part of the model calculates “attractors” that capture… Read More

AUDIAS Seminars

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…

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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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