Speaker: Doroteo Torre Toledano Abstract: Many different end-to-end neural approaches have been proposed in the last years in the field of automatic speech recognition (ASR). However, most of the research available compares systems only in terms of accuracy (word error… Read More
Structured Output Learning
Speaker: María Pilar Fernández Rodríguez Abstract: Speech applications dealing with conversations require not only recognizing the spoken words, but also determining who spoke when, the language, punctuation, capitalization… To deal with it, it is typically addressed by merging the outputs… Read More
Voxceleb Experiment: fairness
Speaker: Almudena Aguilera Abstract: The experiment is based on the dataset from Voxceleb [1], using the two pre-trained models. The main idea of these experiments was to study the fairness problems in different demographic groups present in the data base… Read More
Diego de Benito has returned from his research stay at the Speech@FIT research group of Brno University of Technology (BUT)
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
Semi-Supervised Music Tagging Transformer
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
Encoder-Decoder Based Attractor Calculation for End-to-End Neural Diarization
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
Unsupervised Sound Separation Using Mixture Invariant Training
Speaker: Diego de Benito Gorrón Abstract: In recent years, rapid progress has been made on the problem of single-channel sound separation using supervised training of deep neural networks. In such supervised approaches, a model is trained to predict the component… Read More
relMix: An open source software for DNA mixtures with related contributors
Speaker: Elías Hernández Abstract: La prueba de ADN ha supuesto un gran avance en el contexto judicial y muchas veces es considerada como la prueba definitiva para condenar o absolver a un acusado. Los resultados de una prueba de ADN… Read More
Improving Fairness in Speaker Recognition
Speaker: Almudena Aguilera Abstract: Speaker Recognition Systems aim to automatically recognize the identity of an individual from a recording of his/her speech or voice. Despite the progress of these systems in terms of accuracy, we must ask ourselves: “What happen… Read More
Speech Enhancement for Wake-up Word detection in Voice Assistants
Speaker: William Fernando López Abstract: Wake-up-word (WuW) detection is a fundamental component in voice assistants. Undesired activation of the device is often due to external noises such as background conversations, TV or music. In Telefónica we have been working on… Read More