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Author: daniel

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Representaciones de audio self-supervised Wav2Vec2 para el reconocimiento de locutor

September 16, 2022September 20, 2022 daniel

Speaker: Laura Herrera. Abstract: In this Final Degree Project, different speech representations, extracted by unsupervised learning, have been used to train a speaker recognition system. In particular, Wav2Vec2.0 and WavLM features have been used as a novelty. The Wav2Vec2.0 features… Read More

AUDIAS Seminars

End-to-end deep learning models for air traffic control speech recognition

September 13, 2022September 20, 2022 daniel

Speaker: Ana Belén Fernández Cordero. Abstract: For many years, Air Traffic Controllers have had to manually type the information they received and transmitted to pilots into the electronic flight strip systems. This time consuming activity contributed to a significant increase… Read More

AUDIAS Seminars

Efficient Transformers for End-to-End Neural Speaker Diarization

September 9, 2022September 20, 2022 daniel

Speaker: Sergio Izquierdo. Abstract: The recently proposed End-to-End Neural speaker Diarization framework (EEND) handles speech overlap and speech activity detection natively. While extensions of this work have reported remarkable results in both two-speaker and multi-speaker diarization scenarios, these come at… Read More

AUDIAS Seminars

Sound Event Detection in a large-scale audio dataset with multi-resolution neural networks

September 9, 2022September 20, 2022 daniel

Speaker: Sara Barahona Quirós. Abstract: Sound event detection is the task that aims to automatize the human’s ability of recognizing sound events in the environment by their particular acoustic information. For this purpose, deep learning techniques are employed to build… Read More

AUDIAS Seminars

A Speaker Verification Backend with Robust Performance across Conditions

July 14, 2022July 14, 2022 daniel

Speaker: Joaquin Gonzalez-Rodriguez. Abstract: Presentation of the paper in https://arxiv.org/abs/2102.01760: L. Ferrer et al. “A Speaker Verification Backend with Robust Performance across Conditions”, 2021. Abstract of the paper (reproduced from the preprint): In this paper, we address the problem of… Read More

AUDIAS Seminars

Linear-Gaussian Bayesian Network Applications to Forensic Chemistry

June 30, 2022July 14, 2022 daniel

Speaker: Elías Hernandis Prieto. Abstract: Forensic evidence evaluation using the likelihood ratio framework requires knowledge about the probability distribution of the data. For evaluating samples of glass remains, this translates to obtaining the joint probability distribution of the relative concentrations… Read More

AUDIAS Seminars

Improvements in deep learning semi-supervised model selection for the optimization of different Sound Event Detection metrics

June 23, 2022July 13, 2022 daniel

Spaker: Cristina Moratilla. Abstract: Sound Event Detection is one of the most developed fields in the area of audio signal processing in the last decades. The objective of such detection is to locate the start and end instants of audio… Read More

AUDIAS Seminars

Bias analysis in speaker recognition systems based in DNN-embeddings

June 20, 2022June 28, 2022 daniel

Speaker: Almudena Aguilera. Abstract: In this study we will evaluate the discriminatory behaviours that are generated in speaker recognition systems, specifically those that verify whether two audios belong to the same speaker or not. These systems work by extracting the… Read More

AUDIAS Seminars

MetaAudio: A Few-Shot Audio Classification Benchmark

June 9, 2022June 9, 2022 daniel

Speaker: David Martín Gutiérrez. Abstract: Currently available benchmarks for few-shot learning (machine learning with few training examples) are limited in the domains they cover, primarily focusing on image classification. This work aims to alleviate this reliance on image-based benchmarks by… Read More

AUDIAS Seminars

Speaker Diarization, X-vectors with Encoder-Decoder based attractors

June 2, 2022June 8, 2022 daniel

Speaker: Juan Ignacio Álvarez Trejos. Abstract: X-Vectors are speaker embeddings that emerge to address the speaker recognition task, surprisingly outperforming i-vectors in most speaker tasks. It is proposed to take advantage of the information contained in these embeddings by using… Read More

AUDIAS Seminars

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AUDIAS Seminars

Optimization of a Deep Learning Model for DNA Analysis under Hypoxemic Conditions

July 2, 2025

Speaker: Paloma Villanueva Fuster. Abstract: This study focuses on predicting…

Detection and classification of plants and their condition based on ultrasound patterns generated under abiotic stress

June 25, 2025

Speaker: Fernando David Modrego Arceo Abstract: Plant bioacoustics is an…

News & Events

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

April 14, 2023

AUDIAS PhD Students hired!

February 2, 2023

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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DeepMUSE Research Project granted to AUDIAS

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