Speaker: Paul-Gauthier Noé. Abstract: Attribute privacy in multimedia technology aims to hide only one or a few personal characteristics, or attributes, of an individual rather than the full identity. To give a few examples, these attributes can be the sex,… Read More
Detection of abnormalities in electrocardiograms with 2 sensors using machine learning
Speaker: Ana Molina Conesa. Abstract: This talk is based on the Physionet Challenge 2021, in which participants aim to design and implement an algorithm capable of automatically identifying any cardiac abnormalities present in electrocardiogram (ECG) recordings with 12, 6, 4,… Read More
Anomaly detection in 12-lead electrocardiograms using machine learning
Speaker: Miguel González Rodríguez. Abstract: The Physionet Challenge 2021 is presented. The goal is to classify 27 types of cardiac anomalies from electrocardiograms using convolutional neural networks (CNN). The challenge database consists of over 30,000 patient records, making it one… Read More
Precomputed Sound Propagation for Virtual Reality & Gaming
Speaker: Joaquín González Rodríguez. Abstract: This talk is based on: Parametric Wave Field Coding for Precomputed Sound Propagation (ACM Transactions on Graphics, Vol. 33, No. 4, Article 38, Publication Date: July 2014) Parametric Directional Coding for Precomputed Sound Propagation (ACM… Read More
Breath cycle detection in respiratory audios
Speaker: Miguel Ángel Martínez Pay. Abstract: Neural networks applied to the detection of acoustic events in respiratory audios. Introduction to the ICBHI 2017 database dedicated to the classification of respiratory cycles into “normal”, “with crackles”, “with wheezes”, “with both”. Main… Read More
PhysioNet Challenge 2016: Classification of Heart Sound Recordings
Speaker: Javier Galán Fernández. Abstract: Cardiovascular diseases are the leading cause of death in the world, accounting for 32% of all deaths recorded throughout the year. The 2016 PhysioNet challenge aimed to encourage the development of algorithms to classify heart… Read More
How speaker diarization evolved recently: from clustering to end-to-end approaches
Speaker: Alicia Lozano Díez. Abstract: Speaker diarization systems aim to segment a multi-speaker audio recording according to speaker changes, providing the time stamps of the activity of each speaker, including segments where nobody speaks and those where more than one… Read More
VoxCeleb-Spain: Design, Acquisition and Preliminar Evaluation
Speaker: Manuel Otero González. Abstract: Description of VoxCeleb and its latest Challenges (2019-2022), elaboration and capture of audio database of celebrities of Spanish nationality, and preliminary evaluation of a pre-trained system with the acquired data.
MusicLM: Generating music from text
Speaker: Laura Herrera Alarcón Abstract: Based on https://arxiv.org/pdf/2301.11325.pdf. This paper presents a new model for generating high-fidelity music from text descriptions. It combines SoundStream, w2v-BERT and MuLan, 3 models that allow to obtain temporal coherence and high quality audios of… Read More
Iterative psuedo-forced alignment tool
Speaker: W. Fernando López Gavilánez. Abstract: High-quality data labeling from specific domains is costly and human time-consuming. In this work, we propose an iterative pseudo-forced alignment algorithm for long audio files with low-quality transcriptions. The alignments are iteratively done by… Read More